Jason Thai, Carolina Díaz Piedra, Leandro Luigi Di Stasi, Sašo Tomažič, Kristina Stojmenova, Jaka Sodnik
In this paper we present a study aimed at distinguishing elderly (over 65 years) and young (under 25) participants in driving environment by observing solely their eye movements. Selected groups of elderly and young drivers were asked to drive 30 km on suburban, urban and regional roads in a high-fidelity motion-based driving simulator. During the drive their gaze behaviour and eye movements were recorded using the Tobii Pro Glasses 2 eye tracker, providing data on gaze position, blink rate and pupil size. The data was processed with the PyGaze library, which was adapted to be compatible with the Tobii Pro data output format. In the next step, a decision tree-based binary classification method was applied to distinguish between the two age groups based solely on their eye movements and pupillary responses. The machine learning approach showed an overall accuracy of 0.8 which means that eye tracking data can be a very good predictor of driver’s age in a driving environment.
在本文中，我们提出了一项研究，旨在通过观察老年人(65岁以上)和年轻人(25岁以下)在驾驶环境中的眼球运动来区分他们。经过挑选的老年人和年轻人驾驶组被要求在一个高保真的基于动作的驾驶模拟器中在郊区、城市和地区道路上行驶30公里。在驾驶过程中，研究人员使用Tobii Pro Glasses 2眼动仪记录了他们的凝视行为和眼球运动，提供了凝视位置、眨眼频率和瞳孔大小的数据。使用PyGaze库处理数据，该库经过调整以与Tobii Pro数据输出格式兼容。下一步，采用基于决策树的二值分类方法，仅根据他们的眼球运动和瞳孔反应来区分两个年龄组。机器学习方法的总体精度为0.8，这意味着眼动追踪数据可以很好地预测驾驶环境中驾驶员的年龄。
{"title":"Can We Distinguish Driver’s Age Based on Their Eye Movements?","authors":"Jason Thai, Carolina Díaz Piedra, Leandro Luigi Di Stasi, Sašo Tomažič, Kristina Stojmenova, Jaka Sodnik","doi":"10.54941/ahfe1004394","DOIUrl":"https://doi.org/10.54941/ahfe1004394","url":null,"abstract":"In this paper we present a study aimed at distinguishing elderly (over 65 years) and young (under 25) participants in driving environment by observing solely their eye movements. Selected groups of elderly and young drivers were asked to drive 30 km on suburban, urban and regional roads in a high-fidelity motion-based driving simulator. During the drive their gaze behaviour and eye movements were recorded using the Tobii Pro Glasses 2 eye tracker, providing data on gaze position, blink rate and pupil size. The data was processed with the PyGaze library, which was adapted to be compatible with the Tobii Pro data output format. In the next step, a decision tree-based binary classification method was applied to distinguish between the two age groups based solely on their eye movements and pupillary responses. The machine learning approach showed an overall accuracy of 0.8 which means that eye tracking data can be a very good predictor of driver’s age in a driving environment.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"103 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":"135262494","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}
Irina Kurnikova, Shirin Gulova, Natalia Danilina, Artyom Yurovsky, Vladimir Terekhov
According to the World Health Organization (WHO), over 1 billion people are overweight and 600 million are obese, with metabolic syndrome (MS) affecting 35% of adults in the US and 20-25% in Europe. MS patients require appropriate therapy with comorbidity in mind, which requires further study and optimization. As part of the study, we conducted Holter ECG monitoring (HM) of patients with MS. MS was diagnosed on the basis of the MTP 3rd revision criteria. Additional criteria were AH, elevated triglyceride levels, decreased HDL cholesterol levels, impaired glucose tolerance (IGT), impaired fasting glycemia (EGS), and combined EGS/IGT disorders. MS was diagnosed based on 3 criteria: 1 main and 2 additional ones.Design. A total of 154 patients were examined in in-patient setting. They were subdivided into 2 main groups: Group I - patients with MS receiving β-blockers (n-97) to treat AH; Group II - patients with MS not receiving β-blockers (n-57).Each main group was divided according to the degree of obesity according to the WHO classification. Each patient underwent HM with programmed computer analysis of the wave spectrum of the obtained data and allocation of frequencies - 0.004-0.08 Hz (very low frequency - VLF); 0.09-0.16 Hz (low frequency - LF); 0.17-0.5 Hz (high frequency - HF) more than 0.5 Hz (ultra-low frequency waves - ULF); two coefficients are calculated - LF/HF (vagosympathetic balance coefficient) - ratio of low frequency waves power (LF) to high frequency waves power (HF), and centralization index (CI) - ratio of central regulation circuit activity to autonomic one (LF+VLF/HF).Results. Analysis found changes in HF, LF, and ULF domains of HRV spectrum, indicating transition to a more energy-intensive level of control and depletion of regulatory mechanisms. ULF(%) values above 6.9 require correction with β-blockers. The study found ULF% and VLF% values to be higher in the non-β-blocker group and administration of β-blockers resulted in normalization of indexes with the index of centralization and vagosympathetic balance. In patients receiving β-blockers, the values of these parameters corresponded to those of patients with normal body weight. In MS patients not receiving β-blockers, ULF% was 50% higher and VLF was 18% higher than in the normal weight group. The centralization index was elevated to 3.5. Administration of drugs to 17 patients in group II resulted in normalization of the indexes and achievement of the same values as in group I patients. At the dynamic follow-up for 2 years, Group I patients had no cardiovascular events. The 40 patients who refused to change therapy had no change in HM values and 27% of these patients had acute cardiovascular events at 2 years.Conclusion:Daily ECG monitoring with assessment of ULF%, VLF% and IC indices is a more subtle method of investigation, which allows to detect latent disorders of regulatory mechanisms (with seeming clinical well-being) in patients with disorders of these indices the ri
{"title":"Computerized heart rate analysis in the selection of therapy for patients with arterial hypertension","authors":"Irina Kurnikova, Shirin Gulova, Natalia Danilina, Artyom Yurovsky, Vladimir Terekhov","doi":"10.54941/ahfe1004369","DOIUrl":"https://doi.org/10.54941/ahfe1004369","url":null,"abstract":"According to the World Health Organization (WHO), over 1 billion people are overweight and 600 million are obese, with metabolic syndrome (MS) affecting 35% of adults in the US and 20-25% in Europe. MS patients require appropriate therapy with comorbidity in mind, which requires further study and optimization. As part of the study, we conducted Holter ECG monitoring (HM) of patients with MS. MS was diagnosed on the basis of the MTP 3rd revision criteria. Additional criteria were AH, elevated triglyceride levels, decreased HDL cholesterol levels, impaired glucose tolerance (IGT), impaired fasting glycemia (EGS), and combined EGS/IGT disorders. MS was diagnosed based on 3 criteria: 1 main and 2 additional ones.Design. A total of 154 patients were examined in in-patient setting. They were subdivided into 2 main groups: Group I - patients with MS receiving β-blockers (n-97) to treat AH; Group II - patients with MS not receiving β-blockers (n-57).Each main group was divided according to the degree of obesity according to the WHO classification. Each patient underwent HM with programmed computer analysis of the wave spectrum of the obtained data and allocation of frequencies - 0.004-0.08 Hz (very low frequency - VLF); 0.09-0.16 Hz (low frequency - LF); 0.17-0.5 Hz (high frequency - HF) more than 0.5 Hz (ultra-low frequency waves - ULF); two coefficients are calculated - LF/HF (vagosympathetic balance coefficient) - ratio of low frequency waves power (LF) to high frequency waves power (HF), and centralization index (CI) - ratio of central regulation circuit activity to autonomic one (LF+VLF/HF).Results. Analysis found changes in HF, LF, and ULF domains of HRV spectrum, indicating transition to a more energy-intensive level of control and depletion of regulatory mechanisms. ULF(%) values above 6.9 require correction with β-blockers. The study found ULF% and VLF% values to be higher in the non-β-blocker group and administration of β-blockers resulted in normalization of indexes with the index of centralization and vagosympathetic balance. In patients receiving β-blockers, the values of these parameters corresponded to those of patients with normal body weight. In MS patients not receiving β-blockers, ULF% was 50% higher and VLF was 18% higher than in the normal weight group. The centralization index was elevated to 3.5. Administration of drugs to 17 patients in group II resulted in normalization of the indexes and achievement of the same values as in group I patients. At the dynamic follow-up for 2 years, Group I patients had no cardiovascular events. The 40 patients who refused to change therapy had no change in HM values and 27% of these patients had acute cardiovascular events at 2 years.Conclusion:Daily ECG monitoring with assessment of ULF%, VLF% and IC indices is a more subtle method of investigation, which allows to detect latent disorders of regulatory mechanisms (with seeming clinical well-being) in patients with disorders of these indices the ri","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"120 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":"135263414","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}
Sergey Drobinsky, Patrick Korte, Rastislav Pjontek, Armin Janß, Verena Nitsch, Klaus Radermacher
Surgical adverse events can have serious consequences for patients ranging from temporary injuries to death. Thereby, up to 40% of surgical adverse events are preventable and over 60% of causal factors were found to be linked to human factors. To improve surgical performance and safety, computer-assisted surgical (CAS) systems can be used to reduce excessive workloads. This paper presents a method for prospective assessment of surgical task workloads. S-TAWL, developed with the support of a senior neurosurgeon and a usability engineer, consists of three parts: surgical task decomposition, workload rating scale application, and performance shaping factors characterization. For the proposed rating scales, composed of reference operators, relative workloads were determined by 11 neurosurgeons through pairwise comparison. Afterwards, one senior neurosurgeon, not involved in method development, analysed workloads of four common surgical tasks with the proposed method S-TAWL and a reference workload rating method Surg-TLX. Qualitatively, S-TAWL provides more detailed information about workloads with respect to human resources compared to the reference method. Quantitatively, however, the reliability of the results is still limited, as indicated by high standard deviations. Further research is needed to develop reliable and valid rating scales, compute compound workloads and identify overloads. Incorporating quantitative workload assessment in prospective human performance analysis will provide valuable information for targeted model-based design of assistance systems, supporting safe and successful surgery in the future.
{"title":"Development of a Prospective Method for Rating Surgical Task Workloads","authors":"Sergey Drobinsky, Patrick Korte, Rastislav Pjontek, Armin Janß, Verena Nitsch, Klaus Radermacher","doi":"10.54941/ahfe1004382","DOIUrl":"https://doi.org/10.54941/ahfe1004382","url":null,"abstract":"Surgical adverse events can have serious consequences for patients ranging from temporary injuries to death. Thereby, up to 40% of surgical adverse events are preventable and over 60% of causal factors were found to be linked to human factors. To improve surgical performance and safety, computer-assisted surgical (CAS) systems can be used to reduce excessive workloads. This paper presents a method for prospective assessment of surgical task workloads. S-TAWL, developed with the support of a senior neurosurgeon and a usability engineer, consists of three parts: surgical task decomposition, workload rating scale application, and performance shaping factors characterization. For the proposed rating scales, composed of reference operators, relative workloads were determined by 11 neurosurgeons through pairwise comparison. Afterwards, one senior neurosurgeon, not involved in method development, analysed workloads of four common surgical tasks with the proposed method S-TAWL and a reference workload rating method Surg-TLX. Qualitatively, S-TAWL provides more detailed information about workloads with respect to human resources compared to the reference method. Quantitatively, however, the reliability of the results is still limited, as indicated by high standard deviations. Further research is needed to develop reliable and valid rating scales, compute compound workloads and identify overloads. Incorporating quantitative workload assessment in prospective human performance analysis will provide valuable information for targeted model-based design of assistance systems, supporting safe and successful surgery in the future.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"30 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":"135312512","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 construction industry has been one of the most hazardous and waste-generating industries in the United States for decades, due to the unique nature of work and high degree of organizational complexity on jobsites. A number of citations against OSHA (Occupational Safety and Health Administration) 29 CFR (Code of Federal Regulations) 1926 Safety and Health Regulations for Construction, primarily in sections that address fall protection and safety training in construction, appear in OSHA’s annual top 10 list of most frequently cited violations consistently. Innovative, science-based, and technology-driven solutions become more and more utilized in the construction industry. Examples of these solutions include: situated learning approach to improve the effectiveness of training, wearable technology to enhance personal protection, remote-controlled drones to perform various functions specially to improve site security, prevention through design concept to minimize risks, total worker health initiative to advance worker well-being, etc. It is imperative that safety, health, and environmental professionals should attempt to clearly understand the impact of these emerging technologies on construction safety and health, and be able to apply scientific principles to anticipate, identify, analyze, and control workplace hazards within the construction industry. Specifically, the pros and cons of each solution need to be examined and compared in order to identify effective methods to promote sustainable workforce and improve safety and health in construction.
{"title":"Application of Emerging Technologies to Promote Sustainable Workforce in Construction","authors":"Lu Yuan","doi":"10.54941/ahfe1004421","DOIUrl":"https://doi.org/10.54941/ahfe1004421","url":null,"abstract":"The construction industry has been one of the most hazardous and waste-generating industries in the United States for decades, due to the unique nature of work and high degree of organizational complexity on jobsites. A number of citations against OSHA (Occupational Safety and Health Administration) 29 CFR (Code of Federal Regulations) 1926 Safety and Health Regulations for Construction, primarily in sections that address fall protection and safety training in construction, appear in OSHA’s annual top 10 list of most frequently cited violations consistently. Innovative, science-based, and technology-driven solutions become more and more utilized in the construction industry. Examples of these solutions include: situated learning approach to improve the effectiveness of training, wearable technology to enhance personal protection, remote-controlled drones to perform various functions specially to improve site security, prevention through design concept to minimize risks, total worker health initiative to advance worker well-being, etc. It is imperative that safety, health, and environmental professionals should attempt to clearly understand the impact of these emerging technologies on construction safety and health, and be able to apply scientific principles to anticipate, identify, analyze, and control workplace hazards within the construction industry. Specifically, the pros and cons of each solution need to be examined and compared in order to identify effective methods to promote sustainable workforce and improve safety and health in construction.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"17 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":"135312915","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}
Raymond Freth Lagria, Lorelie Grepo, Joy Ann Malapit
This research paper explores the application of topic modelling algorithms to extract user requirements for a mental health-related mobile application. Specifically, the objective is to generate themes efficiently and effectively from Reddit posts related to mental health narratives, stories, calls for help, and knowledge sharing among others. Particularly, this research examines Latent Dirichlet Allocation algorithm to generate themes coming from the posts and validate using a thematic analysis process to check similarities in generated outputs. The output will be used to establish user requirements for a mental wellbeing app to be developed for the academic community. Hence, the significance of this research. The research findings demonstrate utilizing topic modelling has promising results and categorized thematic terms from the Reddit posts. By leveraging the extracted themes, the research team can gain valuable insights into the needs and preferences of their target audience. The results offer practical implications for the design and development of mobile apps that are guided by a user-centered design process that meets the needs and expectations of the target users. The qualitative analysis further validated the relevance of the generated themes.
{"title":"Generation of User Requirements for a Mental Health Mobile Application from an Online Public Forum A Topic Modelling Approach","authors":"Raymond Freth Lagria, Lorelie Grepo, Joy Ann Malapit","doi":"10.54941/ahfe1004380","DOIUrl":"https://doi.org/10.54941/ahfe1004380","url":null,"abstract":"This research paper explores the application of topic modelling algorithms to extract user requirements for a mental health-related mobile application. Specifically, the objective is to generate themes efficiently and effectively from Reddit posts related to mental health narratives, stories, calls for help, and knowledge sharing among others. Particularly, this research examines Latent Dirichlet Allocation algorithm to generate themes coming from the posts and validate using a thematic analysis process to check similarities in generated outputs. The output will be used to establish user requirements for a mental wellbeing app to be developed for the academic community. Hence, the significance of this research. The research findings demonstrate utilizing topic modelling has promising results and categorized thematic terms from the Reddit posts. By leveraging the extracted themes, the research team can gain valuable insights into the needs and preferences of their target audience. The results offer practical implications for the design and development of mobile apps that are guided by a user-centered design process that meets the needs and expectations of the target users. The qualitative analysis further validated the relevance of the generated themes.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"27 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":"135313226","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}
Lived experiences and individual interpretations of reality can be effectively communicated through narratives. As such, capturing and understanding narratives can be considered of critical importance in human-centred design, as they form the essence and perspective a design is built upon and are thus essentially embedded into the designed outcome. The role of narratives in design becomes particularly critical when designing with or for end-users whose narratives tend to differ from mainstream dominant societal or disciplinary narratives due to differences in lived experiences. In order to empower such communities and ensure designed entities can be meaningful and desirable as well as usable for them, it is important to proactively uncover, interrogate and incorporate a diversity and plurality of end-user narratives into the design process. This study demonstrates how this could be applied in the field of Inclusive Paediatric Mobility (IPM) Design, by setting out to uncover and interrogate the narratives of nine young wheelchair users aged 4-18 years. In-depth narrative interviews are conducted and analysed to unveil five high-level narrative themes including: Independence, Freedom and Choice Beyond Mobility; Social Inclusion and Support Networks; Identity, Customisation and Self-Expression; Accessibility and Adaptations; and Resilience and Determination. An interpretive phenomenological analysis is then conducted to identify archetypal dominant, counter and alternative narratives that exist around each theme. The study elucidates the complexity, duality and dynamicity of end-user narratives and highlights how wheelchairs can act as a vessel for narratives which transcend the primary concept of mobility, encompassing a deeper sense of identity and selfhood, enriched with values, feelings, and opinions related to various areas of life. As well as offering insights into the lived experiences of young wheelchair users, the narratives identified through this study could be adopted in practice by inclusive mobility designers, stakeholders and policymakers to inform sense-making and opportunity framing processes, to ultimately create more meaningful child-centred healthtech solutions and empower young wheelchair users.
{"title":"Illuminating Narratives of Young Wheelchair Users: Lived Experience Insights for Framing Child-Centred Inclusive Mobility Design","authors":"Cara Shaw, Farnaz Nickpour","doi":"10.54941/ahfe1004285","DOIUrl":"https://doi.org/10.54941/ahfe1004285","url":null,"abstract":"Lived experiences and individual interpretations of reality can be effectively communicated through narratives. As such, capturing and understanding narratives can be considered of critical importance in human-centred design, as they form the essence and perspective a design is built upon and are thus essentially embedded into the designed outcome. The role of narratives in design becomes particularly critical when designing with or for end-users whose narratives tend to differ from mainstream dominant societal or disciplinary narratives due to differences in lived experiences. In order to empower such communities and ensure designed entities can be meaningful and desirable as well as usable for them, it is important to proactively uncover, interrogate and incorporate a diversity and plurality of end-user narratives into the design process. This study demonstrates how this could be applied in the field of Inclusive Paediatric Mobility (IPM) Design, by setting out to uncover and interrogate the narratives of nine young wheelchair users aged 4-18 years. In-depth narrative interviews are conducted and analysed to unveil five high-level narrative themes including: Independence, Freedom and Choice Beyond Mobility; Social Inclusion and Support Networks; Identity, Customisation and Self-Expression; Accessibility and Adaptations; and Resilience and Determination. An interpretive phenomenological analysis is then conducted to identify archetypal dominant, counter and alternative narratives that exist around each theme. The study elucidates the complexity, duality and dynamicity of end-user narratives and highlights how wheelchairs can act as a vessel for narratives which transcend the primary concept of mobility, encompassing a deeper sense of identity and selfhood, enriched with values, feelings, and opinions related to various areas of life. As well as offering insights into the lived experiences of young wheelchair users, the narratives identified through this study could be adopted in practice by inclusive mobility designers, stakeholders and policymakers to inform sense-making and opportunity framing processes, to ultimately create more meaningful child-centred healthtech solutions and empower young wheelchair users.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"35 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":"135317997","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}
Children's creative growth in rural areas has enormous potential for village development. The main challenges to implementing creativity-inspiring programs for rural children include the children's cognitive development being behind, the lack of teaching resources, and the constrained nature of the curriculum. This study examines the "daily creativity" of rural people from the early stage of design anthropology, using Baishuidong Village, Longhui County, Hunan Province as the backdrop for Hunan University's Design Rural Revitalisation Project. The study discovered a close interaction between humans and material instruments, as well as how "materiality" characterizes the daily inventiveness of rural dwellers. Building models are used by the local community as metaphorical "in-between objects" for the transmission of abstract empirical knowledge while teaching construction skills. This served as our inspiration for creating the "Architects of Huayao" children's inspirational teaching toolkit. Using modular building blocks to impart knowledge of regional architecture, we enhanced the previous teaching toolkit by holding four workshops with 30 third-graders at Baishuidong Primary School. Rural children are given context for their daily lives as well as historical and cultural contexts through the local architecture on the one hand and are encouraged to create through building blocks on the other. This encourages the development of design thinking and innovative thinking in children as well as the creativity of rural children. Rural children's creativity in classroom activities can be efficiently stimulated by the teaching method of using physical models in a cultural setting. Participants in the project, including local kids, teachers, and other volunteers, gave it favorable reviews.
{"title":"Learning Through the Architectural Model: Creativity-inspired Design for Rural Children From the Perspective of Design Anthropology","authors":"Wenqi Shangguan, Duoduo Zhang","doi":"10.54941/ahfe1004240","DOIUrl":"https://doi.org/10.54941/ahfe1004240","url":null,"abstract":"Children's creative growth in rural areas has enormous potential for village development. The main challenges to implementing creativity-inspiring programs for rural children include the children's cognitive development being behind, the lack of teaching resources, and the constrained nature of the curriculum. This study examines the \"daily creativity\" of rural people from the early stage of design anthropology, using Baishuidong Village, Longhui County, Hunan Province as the backdrop for Hunan University's Design Rural Revitalisation Project. The study discovered a close interaction between humans and material instruments, as well as how \"materiality\" characterizes the daily inventiveness of rural dwellers. Building models are used by the local community as metaphorical \"in-between objects\" for the transmission of abstract empirical knowledge while teaching construction skills. This served as our inspiration for creating the \"Architects of Huayao\" children's inspirational teaching toolkit. Using modular building blocks to impart knowledge of regional architecture, we enhanced the previous teaching toolkit by holding four workshops with 30 third-graders at Baishuidong Primary School. Rural children are given context for their daily lives as well as historical and cultural contexts through the local architecture on the one hand and are encouraged to create through building blocks on the other. This encourages the development of design thinking and innovative thinking in children as well as the creativity of rural children. Rural children's creativity in classroom activities can be efficiently stimulated by the teaching method of using physical models in a cultural setting. Participants in the project, including local kids, teachers, and other volunteers, gave it favorable reviews.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"85 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":"135261185","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 museum's painting collection has gradually become a vital reference resource for developing souvenirs. This study adopts ICCO theoretical framework and studies 534 kinds of souvenirs from the official Taobao flagship store of the Forbidden City according to the ideas of import, classi-fication, comparison, and export. Adopt = Houyi collector to collect data, EXCEL to sort out data, and organize several experts to analyze painting types, techniques, and crafts. As a result, tourists' favorite painting is "A Thousand Miles of Mountains and Rivers," and their favorite souvenirs are delicate flower-and-bird paintings and souvenirs of multi-expert cooperation are the main ones. Best-selling goods can be divided into auspicious meanings, festivals, and life scenes. Most products with large total sales volume are priced below 300 yuan. The products most accepted by consumers are souvenirs (50 yuan), bags (100 yuan), cups (200 yuan), silk scarves (250 yuan), and lamps (300 yuan). To sum up, the collaborative design method of many experts can provide more possibilities for the design of tourist souvenirs with flower-and-bird painting as the theme, and more different souvenirs can be developed according to the styles and preferences of different users.
{"title":"Multi-expert Cooperative Development of Painting-themed Tourist Souvenirs Based on ICCO Model","authors":"Li Ou-yang, Jie Ling","doi":"10.54941/ahfe1004241","DOIUrl":"https://doi.org/10.54941/ahfe1004241","url":null,"abstract":"The museum's painting collection has gradually become a vital reference resource for developing souvenirs. This study adopts ICCO theoretical framework and studies 534 kinds of souvenirs from the official Taobao flagship store of the Forbidden City according to the ideas of import, classi-fication, comparison, and export. Adopt = Houyi collector to collect data, EXCEL to sort out data, and organize several experts to analyze painting types, techniques, and crafts. As a result, tourists' favorite painting is \"A Thousand Miles of Mountains and Rivers,\" and their favorite souvenirs are delicate flower-and-bird paintings and souvenirs of multi-expert cooperation are the main ones. Best-selling goods can be divided into auspicious meanings, festivals, and life scenes. Most products with large total sales volume are priced below 300 yuan. The products most accepted by consumers are souvenirs (50 yuan), bags (100 yuan), cups (200 yuan), silk scarves (250 yuan), and lamps (300 yuan). To sum up, the collaborative design method of many experts can provide more possibilities for the design of tourist souvenirs with flower-and-bird painting as the theme, and more different souvenirs can be developed according to the styles and preferences of different users.","PeriodicalId":470195,"journal":{"name":"AHFE international","volume":"166 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":"135261851","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}
Luis Filipe Rodrigues, Abilio Oliveira, Helena Rodrigues
In a time of digital disruption, users are deciding how they want banks to respond and even exceed their expectations. Banks rushed to face-lift their front-end look and enable non-essential digital services without acknowledging users’ needs. This recent attitude has harmed a good digital banking experience, and consequently the adoption of e-banking. To have a clear vision of how banks can stand out in a digital transformation 634 e-banking users were interviewed from the generations’ X, Y, and Z. A qualitative analysis was conducted using Leximancer software, to determine similarities and differences in three generations’ attitudes toward digital banking. The findings highlighted nineteen concepts grouped into eight key themes, namely: transfers, availability, use, speed, information, price, complex(ity), and market. Digital bank users are concerned about price, speed of transfers, and product information, valuing the easy availability of services and operations in the financial market, with some constraints about the complexity of options used to manage their accounts and savings. While Gen X (older age) looks at digital banking mainly for the availability of services, Gen Y (middle age) takes more advantage of digital banking to explore the bank/financial market and perform operations anywhere, and Gen Z (younger age) simply for transfers. This study contributes to understanding the adoption of digital banking, allowing to propose a new conceptual map to explain e-banking usage and identifying what is more important for each Gen X, Y, and Z generation may adopt digital banking.
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Hüseyin Şahan, Sultan Ceren Öner, Ahmet Tugrul Bayrak, İlker Baştürk, Olcay Taner Yıldız
There are billions of operations happening in a wide range of sectors on a daily basis. When it comes to the hospitality sector, it appears essential to handle POS operations in a more efficient way in restaurants. To fill the gap in the studies about event log data in the fast food restaurant POS context, an approach needs to be developed. Regarding these, in this study, restaurant event log data for taking orders are comprehensively analyzed using process mining principles and machine learning applications to increase productivity. After the discovery of processes, the bottlenecks of the existing system were extracted in fast food restaurant point of sale (POS). The main focus was determined as order-taking process times, which can be the most troubled part of the fast food delivery process. Regression analysis was conducted to identify possible reasons for increasing time for order taking in a restaurant pos. This analysis can extract the main drawbacks of the system and provide insights to solve problematic points in order to increase productivity. Process discovery techniques, such as heuristics miner, directly follows graph (DFG) are used under process mining methodologies to discover event logs in a visual manner in the background. To be able to understand the logic of event logs deeply, exploratory data analysis techniques were performed to identify the effect of log activity types by also focusing on their respective attributes. Afterwards, it needed to adopt performance analysis, comparative, and action-oriented process mining techniques to evaluate, identify, and operationally support the business. In addition to process mining approaches, feature engineering, descriptive statistics techniques and outlier elimination are used along with various regression methods such as XgBoost, Random Forest to identify the relationship between variables of the system. The detailed descriptions of the feature relations are also explained to understand how variables affect the order taking time directly or indirectly. After that, the study found possible reasons, such as how many products are sold or how many different operators are working on that POS, affecting ordering time and how much they are specific to its context. By identifying these reasons, it is shown that order-taking processing times in a restaurant POS can be dramatically decreased with specific recommended actions in particular contexts. By applying research findings, order-taking process times are expected to improve by around 21% in a territorial business, which implies productivity growth in POS environments. Consequently, the study first showed how different techniques can be used to identify outliers in relationship metrics in restaurant POS event log data. Secondly, it is a direct, crucial example of what factors affect a restaurant's POS processes and how much. Meanwhile, it significantly suggests machine learning integrated process mining approaches by combining the mentioned
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