Sustainable and circular manufacturing practices have become imperative for modern industries due to the escalating environmental challenges, stricter regulatory policies, and shifting consumer preferences towards more sustainable products. Among the multitude of technological advancements that enable this transition, Computer Vision (CV) is rapidly emerging as a game-changer. However, a comprehensive investigation is required to understand the role and impact of CV in the context of data-driven and servitized manufacturing. This review paper provides a thorough analysis of the relationship between CV and sustainable manufacturing. It highlights the various ways that CV improves sustainability by leveraging a rich corpus of academic studies as well as industry case studies. This covers the function of CV in enhancing resource efficiency, decreasing waste, enabling predictive maintenance, and assuring product quality. Nevertheless, there are several challenges in integrating CV technologies into manufacturing. Therefore, this paper offers a detailed analysis of these issues, ranging from technical complexities to data privacy and skills gap. Consequently, this study proposes potential solutions and strategies, turning these challenges into avenues for future research and innovation. Through this paper, our endeavor is not only to enrich the academic discourse around this topic but also to catalyze future research and provide actionable insights for practitioners at the intersection of technology and sustainability in manufacturing.
{"title":"Leveraging Computer Vision for Sustainable Manufacturing: Potentials, Challenges and Future Perspectives","authors":"Safa Omri, Dharmil Mehta, Jens Neuhüttler","doi":"10.54941/ahfe1004321","DOIUrl":"https://doi.org/10.54941/ahfe1004321","url":null,"abstract":"Sustainable and circular manufacturing practices have become imperative for modern industries due to the escalating environmental challenges, stricter regulatory policies, and shifting consumer preferences towards more sustainable products. Among the multitude of technological advancements that enable this transition, Computer Vision (CV) is rapidly emerging as a game-changer. However, a comprehensive investigation is required to understand the role and impact of CV in the context of data-driven and servitized manufacturing. This review paper provides a thorough analysis of the relationship between CV and sustainable manufacturing. It highlights the various ways that CV improves sustainability by leveraging a rich corpus of academic studies as well as industry case studies. This covers the function of CV in enhancing resource efficiency, decreasing waste, enabling predictive maintenance, and assuring product quality. Nevertheless, there are several challenges in integrating CV technologies into manufacturing. Therefore, this paper offers a detailed analysis of these issues, ranging from technical complexities to data privacy and skills gap. Consequently, this study proposes potential solutions and strategies, turning these challenges into avenues for future research and innovation. Through this paper, our endeavor is not only to enrich the academic discourse around this topic but also to catalyze future research and provide actionable insights for practitioners at the intersection of technology and sustainability in manufacturing.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135262891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kim-Phuong L. Vu, Panadda Marayong, Elyzza Aparicio, Chi-ah Chun, Simon Kim
Engaging students in research is a high-impact practice shown to increase graduation outcomes and sustain their pursuit of careers in science, technology, engineering, and mathematics (STEM). However, research opportunities for students early in their undergraduate studies are not widely available at most colleges or for most students. To overcome this barrier, we developed three online resources designed to introduce students to what research is and direct them on how to get started with the search for research opportunities. These resources consist of (a) two introductory videos to inspire students to learn more about research, (b) online modules on a variety of topics, including getting started with research, transferable research skills, and publications and presentations, and (c) a searchable research faculty directory. We found these online resources to be an effective way to reach and engage a large number of undergraduate students who are accustomed to obtaining information on the web. These online resources can also serve as useful supplemental resources for advising staff and faculty who wish to introduce students to research.
{"title":"Use of Online Tools to Introduce Students to Research","authors":"Kim-Phuong L. Vu, Panadda Marayong, Elyzza Aparicio, Chi-ah Chun, Simon Kim","doi":"10.54941/ahfe1004349","DOIUrl":"https://doi.org/10.54941/ahfe1004349","url":null,"abstract":"Engaging students in research is a high-impact practice shown to increase graduation outcomes and sustain their pursuit of careers in science, technology, engineering, and mathematics (STEM). However, research opportunities for students early in their undergraduate studies are not widely available at most colleges or for most students. To overcome this barrier, we developed three online resources designed to introduce students to what research is and direct them on how to get started with the search for research opportunities. These resources consist of (a) two introductory videos to inspire students to learn more about research, (b) online modules on a variety of topics, including getting started with research, transferable research skills, and publications and presentations, and (c) a searchable research faculty directory. We found these online resources to be an effective way to reach and engage a large number of undergraduate students who are accustomed to obtaining information on the web. These online resources can also serve as useful supplemental resources for advising staff and faculty who wish to introduce students to research.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135263069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roman Bolton, Sophie Hallam, Alex Smith, Jade Melendez, Craig Allison, Katie Plant
Submarines use a plethora of sensors crucial for above-water surveillance. For example, the optronics mast utilises sensors that collect optical data on the surrounding environment. Whereas the Radar Electronic Support Measures (RESM) mast provides electromagnetic surveillance that focuses on avoiding counter-detection. Paradoxically though, every time the mast is up it increases the risk of counter-detection. To reduce exposure time, submarine masts are integrating multiple sensors; like optronics and RESM, to collect data simultaneously. Traditionally, different operators complete optronics and RESM tasks. However, an integrated optronics and RESM mast, would likely require an integrated operator role. Therefore, optimising the Human-Machine Interface would enable optimal operator performance. One suggestion is to present both optronics and RESM data on a single user interface and explore different ways of presenting this information, using more emerging technologies. Therefore, the aim of this study is to investigate how an interface, which supports the presentation of both optronics and RESM data, affects operator performance compared to an interface that presents optronics data only. The study will also explore the effects of presenting such information using current and novel display methods, specifically computer monitors and virtual reality (VR). To test this, four experimental conditions were devised: (1) no additional data using a conventional display, (2) additional RESM data using a conventional display, (3) no additional data using a VR display, and (4) additional RESM data using a VR display. To assess operator performance, participants will complete simulations in each condition, and data will be collected on task accuracy, task completion time, operator workload, situation awareness, and system usability. A detailed account of the research findings will be presented.
{"title":"An investigation into how an integrated user interface and virtual reality affects operator performance when completing submarine control room tasks","authors":"Roman Bolton, Sophie Hallam, Alex Smith, Jade Melendez, Craig Allison, Katie Plant","doi":"10.54941/ahfe1004264","DOIUrl":"https://doi.org/10.54941/ahfe1004264","url":null,"abstract":"Submarines use a plethora of sensors crucial for above-water surveillance. For example, the optronics mast utilises sensors that collect optical data on the surrounding environment. Whereas the Radar Electronic Support Measures (RESM) mast provides electromagnetic surveillance that focuses on avoiding counter-detection. Paradoxically though, every time the mast is up it increases the risk of counter-detection. To reduce exposure time, submarine masts are integrating multiple sensors; like optronics and RESM, to collect data simultaneously. Traditionally, different operators complete optronics and RESM tasks. However, an integrated optronics and RESM mast, would likely require an integrated operator role. Therefore, optimising the Human-Machine Interface would enable optimal operator performance. One suggestion is to present both optronics and RESM data on a single user interface and explore different ways of presenting this information, using more emerging technologies. Therefore, the aim of this study is to investigate how an interface, which supports the presentation of both optronics and RESM data, affects operator performance compared to an interface that presents optronics data only. The study will also explore the effects of presenting such information using current and novel display methods, specifically computer monitors and virtual reality (VR). To test this, four experimental conditions were devised: (1) no additional data using a conventional display, (2) additional RESM data using a conventional display, (3) no additional data using a VR display, and (4) additional RESM data using a VR display. To assess operator performance, participants will complete simulations in each condition, and data will be collected on task accuracy, task completion time, operator workload, situation awareness, and system usability. A detailed account of the research findings will be presented.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135263076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main goal of the project is to develop a product innovation consisting in the implementation of a new type of disinfection device that combines functionality with the ability to monitor health and detect potentially infected people. The de-signed device for virucidal disinfection, together with monitoring the health of us-ers in public spaces, is part of the strategy of preventive measures to limit the spread of the pandemic, with particular emphasis on the SARS-CoV-2 virus. The device is intended to improve the safety of the public in epidemiological threats, as well as a long-term strategy to protect and counteract subsequent waves of pandemics and other, so far unrecognized viruses. For the needs of the research task, the concepts of the device varied in terms of size and ergonomics were de-signed. Initial analyzes concerned solutions based on a prism structure in an or-thogonal system. For the above solutions, 1:1 scale test benches have been pre-pared in order to conduct advanced ergonomic, functional and accessibility anal-yses. In order to carry out preliminary spatial and functional analyzes of the sup-port, 2D and 3D tests were carried out using simplified human models containing anthropometric data. Percentile models of women and men of European descent were used. In addition, accessibility variants for the reach of the arms of a person moving in a wheelchair were examined in terms of the assumptions of universal design. As a result of ergonomic analyses, the distribution of components in the space of the shaped device was assumed.For irregular shapes of the device housing, it is required to test the rod elements of the internal structure, which builds the device's rigidity. Parametric shaping of bar systems requires the implementation of tools useful in mastering the geometry of chaotic structures. One of the more practical methods is the Contracting meth-od taken from topological graph theory. This action, on the one hand, reduces the number of structure nodes, and on the other hand, has ordering properties in the space of geometric irregular structures. The use of the contracting method should not lead to a reduction in the role of the designer, who should maintain a direct impact on the aesthetics and technical parameters of the created structure at every design stage. An important problem to be solved is the scaling of the density of the device's frame in terms of technology and optimization of material consump-tion. In order to assess the stiffness of the device housing, tests were carried out on models composed of stainless steel bars connected to the housing sheets. Due to the location of the device in an open public space, the resistance of the device to accidental dynamic impacts was tested.
{"title":"Shaping a device for Anti-viral disinfection and checking health of people moving in public space","authors":"WALDEMAR BOBER, Barbara Gronostajska","doi":"10.54941/ahfe1004355","DOIUrl":"https://doi.org/10.54941/ahfe1004355","url":null,"abstract":"The main goal of the project is to develop a product innovation consisting in the implementation of a new type of disinfection device that combines functionality with the ability to monitor health and detect potentially infected people. The de-signed device for virucidal disinfection, together with monitoring the health of us-ers in public spaces, is part of the strategy of preventive measures to limit the spread of the pandemic, with particular emphasis on the SARS-CoV-2 virus. The device is intended to improve the safety of the public in epidemiological threats, as well as a long-term strategy to protect and counteract subsequent waves of pandemics and other, so far unrecognized viruses. For the needs of the research task, the concepts of the device varied in terms of size and ergonomics were de-signed. Initial analyzes concerned solutions based on a prism structure in an or-thogonal system. For the above solutions, 1:1 scale test benches have been pre-pared in order to conduct advanced ergonomic, functional and accessibility anal-yses. In order to carry out preliminary spatial and functional analyzes of the sup-port, 2D and 3D tests were carried out using simplified human models containing anthropometric data. Percentile models of women and men of European descent were used. In addition, accessibility variants for the reach of the arms of a person moving in a wheelchair were examined in terms of the assumptions of universal design. As a result of ergonomic analyses, the distribution of components in the space of the shaped device was assumed.For irregular shapes of the device housing, it is required to test the rod elements of the internal structure, which builds the device's rigidity. Parametric shaping of bar systems requires the implementation of tools useful in mastering the geometry of chaotic structures. One of the more practical methods is the Contracting meth-od taken from topological graph theory. This action, on the one hand, reduces the number of structure nodes, and on the other hand, has ordering properties in the space of geometric irregular structures. The use of the contracting method should not lead to a reduction in the role of the designer, who should maintain a direct impact on the aesthetics and technical parameters of the created structure at every design stage. An important problem to be solved is the scaling of the density of the device's frame in terms of technology and optimization of material consump-tion. In order to assess the stiffness of the device housing, tests were carried out on models composed of stainless steel bars connected to the housing sheets. Due to the location of the device in an open public space, the resistance of the device to accidental dynamic impacts was tested.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135263245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An incorporated analysis of selling green hydrogen and gray hydrogen, as opposed to sellingtheir mixed hydrogen, is investigated. Specifically, we analyze how the social surplus is characterized for the mixed hydrogen. We perform supply/demand analysis of the mixed hydrogen in terms of the ratio of the green hydrogen. Furthermore, we derive the equilibrium price and social surplus, and clarify the optimal sales of green hydrogen. In addition, for the case where green hydrogen and gray hydrogen are traded in separate markets, we discuss what measures can be taken to increase the demand for green hydrogen.
{"title":"Human Evaluation of “Colored” Hydrogen Transactions Towards Carbon Neutrality","authors":"Tomohisa Hayakawa, Masato Kigoshi","doi":"10.54941/ahfe1004300","DOIUrl":"https://doi.org/10.54941/ahfe1004300","url":null,"abstract":"An incorporated analysis of selling green hydrogen and gray hydrogen, as opposed to sellingtheir mixed hydrogen, is investigated. Specifically, we analyze how the social surplus is characterized for the mixed hydrogen. We perform supply/demand analysis of the mixed hydrogen in terms of the ratio of the green hydrogen. Furthermore, we derive the equilibrium price and social surplus, and clarify the optimal sales of green hydrogen. In addition, for the case where green hydrogen and gray hydrogen are traded in separate markets, we discuss what measures can be taken to increase the demand for green hydrogen.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135263250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In clinical psychology, various techniques are used to improve the mental state of subjects.．In clinical psychology, there are areas for each technique, and problem-solving cases have been reported for each area. There are various approaches to solving the same problem. Some of these elements are common and some are different. However, because they have been reported separately, knowledge sharing beyond each domain has not been carried out. In recent years, ontologies related to clinical psychology have been developed. Clinical medicine ontology CONAND (Clinical Ontology in Anatomaical Structure and Disease) and The Behavior Change Intervention Ontology (BCIO) are ontologies related to medicine and behavioral change. These are very useful for searching clinical medicine and methods for behavior modification. However, it is not possible to retrieve the specific contents of actual problem solving in clinical psychology. In order to solve these problems, it is first necessary to extract knowledge from clinical psychology cases and clarify their relationships. So far, we have extracted and structured knowledge from several case studies and the practice of one psychotherapy technique, and by conducting workshops based on this knowledge, we have elaborated the structured knowledge and formalized tacit knowledge that can be verbalized. I have made knowledge and arranged it in the structure. By structuring the knowledge and actions taken to solve the problem in a goal-oriented manner, we clarified the relationship between the procedure to achieve the goal and the practice action to clear each stage. Through these activities, clinical psychologists were able to realize the meaning of actions in the activities and practice methods that they had unconsciously performed so far, and to acquire metacognition in practice. Next, we extracted important words from this knowledge and created an ontology based on them. By having this ontology scrutinized, we would like to connect it to existing ontologies related to clinical psychology, such as CONAND and BCIO. Our ultimate goal is to make it possible to retrieve structured knowledge that visualizes how problems were solved in cases from the system. There are various techniques in clinical psychology. At present, it largely depends on the ability and intuition of clinical psychologists to determine which technique is better for solving the problem. In the future, we would like to develop AI that can propose more appropriate methods by incorporating various information into this system.
在临床心理学中，各种技术被用来改善受试者的精神状态。在临床心理学中，每种技术都有各自的领域，并且每个领域都报告了解决问题的案例。解决同一个问题有不同的方法。这些元素有些是共同的，有些是不同的。然而，由于它们是分开报道的，因此没有进行跨领域的知识共享。近年来，与临床心理学相关的本体论得到了发展。临床医学本体CONAND (Clinical ontology in anatomical Structure and Disease)和行为改变干预本体(Behavior Change Intervention ontology, BCIO)是与医学和行为改变相关的本体。这些对寻找临床医学和行为矫正方法非常有用。然而，无法检索到临床心理学中实际解决问题的具体内容。为了解决这些问题，首先需要从临床心理学案例中提取知识，厘清它们之间的关系。到目前为止，我们已经从几个案例研究和一种心理治疗技术的实践中提取和结构化了知识，并通过基于这些知识的研讨会，我们已经详细阐述了结构化知识和形式化的可以用语言表达的隐性知识。我已经将知识整理在结构中。通过以目标为导向的方式组织解决问题的知识和行动，我们明确了实现目标的程序与清除每个阶段的实践行动之间的关系。通过这些活动，临床心理学家能够意识到他们迄今为止无意识地进行的活动和实践方法中行为的意义，并在实践中获得元认知。接下来，我们从这些知识中提取重要的单词，并基于它们创建一个本体。通过仔细检查这个本体，我们希望将其与临床心理学相关的现有本体(如CONAND和BCIO)联系起来。我们的最终目标是使检索结构化知识成为可能，这些结构化知识可以可视化地显示系统中案例中的问题是如何解决的。临床心理学中有各种各样的技术。目前，在很大程度上取决于临床心理学家的能力和直觉来确定哪种技术更适合解决问题。在未来，我们想开发人工智能，通过将各种信息整合到这个系统中，可以提出更合适的方法。
{"title":"Development of an ontology that connects clinical psychology knowledge and Top Ontology","authors":"Chiaki Oshiyama, Takuichi Nishimura","doi":"10.54941/ahfe1004377","DOIUrl":"https://doi.org/10.54941/ahfe1004377","url":null,"abstract":"In clinical psychology, various techniques are used to improve the mental state of subjects.．In clinical psychology, there are areas for each technique, and problem-solving cases have been reported for each area. There are various approaches to solving the same problem. Some of these elements are common and some are different. However, because they have been reported separately, knowledge sharing beyond each domain has not been carried out. In recent years, ontologies related to clinical psychology have been developed. Clinical medicine ontology CONAND (Clinical Ontology in Anatomaical Structure and Disease) and The Behavior Change Intervention Ontology (BCIO) are ontologies related to medicine and behavioral change. These are very useful for searching clinical medicine and methods for behavior modification. However, it is not possible to retrieve the specific contents of actual problem solving in clinical psychology. In order to solve these problems, it is first necessary to extract knowledge from clinical psychology cases and clarify their relationships. So far, we have extracted and structured knowledge from several case studies and the practice of one psychotherapy technique, and by conducting workshops based on this knowledge, we have elaborated the structured knowledge and formalized tacit knowledge that can be verbalized. I have made knowledge and arranged it in the structure. By structuring the knowledge and actions taken to solve the problem in a goal-oriented manner, we clarified the relationship between the procedure to achieve the goal and the practice action to clear each stage. Through these activities, clinical psychologists were able to realize the meaning of actions in the activities and practice methods that they had unconsciously performed so far, and to acquire metacognition in practice. Next, we extracted important words from this knowledge and created an ontology based on them. By having this ontology scrutinized, we would like to connect it to existing ontologies related to clinical psychology, such as CONAND and BCIO. Our ultimate goal is to make it possible to retrieve structured knowledge that visualizes how problems were solved in cases from the system. There are various techniques in clinical psychology. At present, it largely depends on the ability and intuition of clinical psychologists to determine which technique is better for solving the problem. In the future, we would like to develop AI that can propose more appropriate methods by incorporating various information into this system.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135263615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital health receives more and more attention as a solution to reduce the burden of healthcare cost in today's aging society. However, compared to other types of services, digital health service projects seem to have higher rates of stopping at pilot stages and do not get integrated into the actual medical practices. Adopting digital health solutions in today's healthcare settings often requires changes of work processes that can have a significant impact on the work practices of the healthcare professionals. Thus, there is a need for understanding both the current practice and the new proposed practice in service level with a more analytical and systematic approach. We conducted a multiple case study of homecare practices. Shadowing, contextual interviews, customer journey mapping, and semi-structured in-depth interviews were conducted in homecare settings in Norway and Sweden. Document analysis allowed us to add an additional case (a remote patient monitoring at home) to our study. The results of our study show that several key components of homecare services (service worker, secondary service worker, service interaction type, and sub-service provision context) were dissimilar among different homecare settings without or with a digital health solution. Our study might be useful to gain a deeper insight of homecare services and to understand the key components and the changing actors’ roles to consider when adopting digital solutions to the homecare services.
{"title":"Transforming the homecare offering scene: How the technology plays a role","authors":"Eunji Lee","doi":"10.54941/ahfe1004356","DOIUrl":"https://doi.org/10.54941/ahfe1004356","url":null,"abstract":"Digital health receives more and more attention as a solution to reduce the burden of healthcare cost in today's aging society. However, compared to other types of services, digital health service projects seem to have higher rates of stopping at pilot stages and do not get integrated into the actual medical practices. Adopting digital health solutions in today's healthcare settings often requires changes of work processes that can have a significant impact on the work practices of the healthcare professionals. Thus, there is a need for understanding both the current practice and the new proposed practice in service level with a more analytical and systematic approach. We conducted a multiple case study of homecare practices. Shadowing, contextual interviews, customer journey mapping, and semi-structured in-depth interviews were conducted in homecare settings in Norway and Sweden. Document analysis allowed us to add an additional case (a remote patient monitoring at home) to our study. The results of our study show that several key components of homecare services (service worker, secondary service worker, service interaction type, and sub-service provision context) were dissimilar among different homecare settings without or with a digital health solution. Our study might be useful to gain a deeper insight of homecare services and to understand the key components and the changing actors’ roles to consider when adopting digital solutions to the homecare services.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135263839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael Jenkins, Calvin Leather, Richard Stone, Sean Kelly
This research investigates the development of a generative AI wearable assistant designed to provide simulated reach-back support for maintenance and troubleshooting applications. Reach-back support refers to accessing expertise remotely to assist individuals in challenging situations. In various domains such as healthcare, emergency response, and technical troubleshooting, reaching out to subject matter experts for real-time guidance can be crucial. Leveraging the capabilities of generative AI, we aim to create a wearable hardware and software device that serves as an assistant that simulates expert knowledge and provides personalized, context-aware (via object detection and a natural language interface) assistance. This poster presents preliminary findings from efforts to demonstrate the technical feasibility of this concept through the design, fabrication, and demonstration of an initial wearable prototype. Future research will seek to develop a deep learning model trained on extensive domain-specific data to generate relevant and accurate responses for maintenance and troubleshooting of specific equipment and systems. The wearable assistant incorporates speech recognition, natural language understanding, speech synthesis, and image-based object detection technologies for seamless communication and contextualization of reach-back requests. The findings from this research have the potential to enhance decision-making, problem-solving, and support capabilities in various professional and emergency scenarios where access to real-time expertise is limited.
{"title":"Generative AI Wearable Assistant for Simulated Reach-Back Support","authors":"Michael Jenkins, Calvin Leather, Richard Stone, Sean Kelly","doi":"10.54941/ahfe1004431","DOIUrl":"https://doi.org/10.54941/ahfe1004431","url":null,"abstract":"This research investigates the development of a generative AI wearable assistant designed to provide simulated reach-back support for maintenance and troubleshooting applications. Reach-back support refers to accessing expertise remotely to assist individuals in challenging situations. In various domains such as healthcare, emergency response, and technical troubleshooting, reaching out to subject matter experts for real-time guidance can be crucial. Leveraging the capabilities of generative AI, we aim to create a wearable hardware and software device that serves as an assistant that simulates expert knowledge and provides personalized, context-aware (via object detection and a natural language interface) assistance. This poster presents preliminary findings from efforts to demonstrate the technical feasibility of this concept through the design, fabrication, and demonstration of an initial wearable prototype. Future research will seek to develop a deep learning model trained on extensive domain-specific data to generate relevant and accurate responses for maintenance and troubleshooting of specific equipment and systems. The wearable assistant incorporates speech recognition, natural language understanding, speech synthesis, and image-based object detection technologies for seamless communication and contextualization of reach-back requests. The findings from this research have the potential to enhance decision-making, problem-solving, and support capabilities in various professional and emergency scenarios where access to real-time expertise is limited.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135263845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In 1997 Ronald T. Azuma introduced a definition for augmented reality. The definition can be considered slightly outdated because of developments in augmented reality and ubiquitous computing. Extended reality environments do not only allow interactive virtual objects superimposed on reality and aligned with reality, but also static, dynamic, and autonomous virtual content that is not under the control of the user of the environment. One aim of AR research is to superimpose (multisensorial) virtual objects on reality that cannot necessarily be distinguished from real objects that are perceived and experienced by the inhabitants of the environment. In this paper, we take it a step further. Especially if we are no longer able to distinguish between virtual and real objects, shouldn't we look for a definition of AR that is more based on experiencing (not necessarily technology-enhanced) reality than on technology? We do this by focusing on multisensorial experiences that augment our world, rather than on the technology, present or not, that enables these experiences and distinguishes our experiences from those of others. That such a viewpoint has not taken shape before is mainly due to the vision-biased view of what AR research should entail.
1997年，Ronald T. Azuma引入了增强现实的定义。由于增强现实和无处不在的计算的发展，这个定义可能被认为有点过时。扩展现实环境不仅允许交互式虚拟对象叠加在现实上并与现实对齐，还允许不受环境用户控制的静态、动态和自主的虚拟内容。AR研究的一个目标是将(多感官)虚拟物体叠加在现实上，这些物体不一定与环境中居民感知和体验的真实物体区分开来。在本文中，我们更进一步。特别是如果我们不再能够区分虚拟和真实的物体，我们是否应该寻找一个更基于体验(不一定是技术增强)现实而不是技术的AR定义?我们通过关注增强我们世界的多感官体验来做到这一点，而不是关注技术，无论是否存在，使这些体验成为可能，并将我们的体验与他人的体验区分开来。这样的观点之前没有形成，主要是由于对AR研究应该包含什么的视觉偏见。
{"title":"Toward a New Definition of Augmented Reality","authors":"Anton Nijholt","doi":"10.54941/ahfe1004438","DOIUrl":"https://doi.org/10.54941/ahfe1004438","url":null,"abstract":"In 1997 Ronald T. Azuma introduced a definition for augmented reality. The definition can be considered slightly outdated because of developments in augmented reality and ubiquitous computing. Extended reality environments do not only allow interactive virtual objects superimposed on reality and aligned with reality, but also static, dynamic, and autonomous virtual content that is not under the control of the user of the environment. One aim of AR research is to superimpose (multisensorial) virtual objects on reality that cannot necessarily be distinguished from real objects that are perceived and experienced by the inhabitants of the environment. In this paper, we take it a step further. Especially if we are no longer able to distinguish between virtual and real objects, shouldn't we look for a definition of AR that is more based on experiencing (not necessarily technology-enhanced) reality than on technology? We do this by focusing on multisensorial experiences that augment our world, rather than on the technology, present or not, that enables these experiences and distinguishes our experiences from those of others. That such a viewpoint has not taken shape before is mainly due to the vision-biased view of what AR research should entail.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135313213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonas Lick, Benedict Wohlers, Philipp Sahrhage, Felix Schreckenberg, Susanne Klöckner, Sebastian Von Enzberg, Arno Kühn, Roman Dumitrescu
The integration of Artificial Intelligence (AI) techniques into various domains has revolutionized numerous industries, and Supply Chain Management (SCM) is no exception. This paper addresses the challenges encountered in SCM and the development of AI solutions within this context. Specifically, we focus on the application of AI in optimizing supply chain planning tasks. This includes forecasting demand, availability and feasibility checks for customer orders, supply chain network design and information flow inside the supply chain planning processes. However, the successful implementation of AI in SCM requires a deep understanding of both the domain-specific challenges and the capabilities and limitations of AI technologies. Thus, this paper proposes an overarching approach that facilitates collaboration between domain experts in SCM and AI experts, enabling them to jointly develop effective solutions.The paper begins by outlining the key challenges faced by SCM professionals, including demand volatility, complexities in inventory management, and dynamic market conditions. Subsequently, it delves into the challenges associated with developing AI solutions for SCM, including data quality, interpretability, and model transparency. To address these challenges, the proposed approach promotes close collaboration and knowledge exchange between SCM and AI experts. By leveraging the domain knowledge and experience of SCM experts, AI experts can better understand the special issues of SCM processes and tailor AI techniques to suit specific needs. In turn, SCM experts can gain insights into the capabilities and limitations of AI, allowing them to make informed decisions regarding the adoption and integration of AI in their supply chain planning operations. Furthermore, the paper discusses the importance of establishing a multidisciplinary team comprising experts from the fields of SCM, AI, and IT. This team-based approach fosters a holistic understanding of SCM challenges and ensures the development of AI solutions that align with business goals and practical constraints.In conclusion, this paper highlights the challenges in combining SCM and AI and proposes a collaborative approach to address these challenges effectively. By leveraging the expertise of both domain and AI experts, organizations can develop tailored AI solutions that enhance supply chain planning, improve decision-making processes, and drive competitive advantage. The proposed approach contributes to the successful integration of AI in SCM, ultimately leading to more efficient and resilient supply chains in the era of artificial intelligence.
{"title":"Integrating Domain Expertise and Artificial Intelligence for Effective Supply Chain Management Planning Tasks: A Collaborative Approach","authors":"Jonas Lick, Benedict Wohlers, Philipp Sahrhage, Felix Schreckenberg, Susanne Klöckner, Sebastian Von Enzberg, Arno Kühn, Roman Dumitrescu","doi":"10.54941/ahfe1004185","DOIUrl":"https://doi.org/10.54941/ahfe1004185","url":null,"abstract":"The integration of Artificial Intelligence (AI) techniques into various domains has revolutionized numerous industries, and Supply Chain Management (SCM) is no exception. This paper addresses the challenges encountered in SCM and the development of AI solutions within this context. Specifically, we focus on the application of AI in optimizing supply chain planning tasks. This includes forecasting demand, availability and feasibility checks for customer orders, supply chain network design and information flow inside the supply chain planning processes. However, the successful implementation of AI in SCM requires a deep understanding of both the domain-specific challenges and the capabilities and limitations of AI technologies. Thus, this paper proposes an overarching approach that facilitates collaboration between domain experts in SCM and AI experts, enabling them to jointly develop effective solutions.The paper begins by outlining the key challenges faced by SCM professionals, including demand volatility, complexities in inventory management, and dynamic market conditions. Subsequently, it delves into the challenges associated with developing AI solutions for SCM, including data quality, interpretability, and model transparency. To address these challenges, the proposed approach promotes close collaboration and knowledge exchange between SCM and AI experts. By leveraging the domain knowledge and experience of SCM experts, AI experts can better understand the special issues of SCM processes and tailor AI techniques to suit specific needs. In turn, SCM experts can gain insights into the capabilities and limitations of AI, allowing them to make informed decisions regarding the adoption and integration of AI in their supply chain planning operations. Furthermore, the paper discusses the importance of establishing a multidisciplinary team comprising experts from the fields of SCM, AI, and IT. This team-based approach fosters a holistic understanding of SCM challenges and ensures the development of AI solutions that align with business goals and practical constraints.In conclusion, this paper highlights the challenges in combining SCM and AI and proposes a collaborative approach to address these challenges effectively. By leveraging the expertise of both domain and AI experts, organizations can develop tailored AI solutions that enhance supply chain planning, improve decision-making processes, and drive competitive advantage. The proposed approach contributes to the successful integration of AI in SCM, ultimately leading to more efficient and resilient supply chains in the era of artificial intelligence.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135314049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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