Pub Date : 2023-10-16DOI: 10.3389/fcomp.2023.1286591
Ilmo Salmenperä, Jukka K. Nurminen
Restricted Boltzmann machines are common machine learning models that can utilize quantum annealing devices in their training processes as quantum samplers. While this approach has shown promise as an alternative to classical sampling methods, the limitations of quantum annealing hardware, such as the number of qubits and the lack of connectivity between the qubits, still pose a barrier to wide-scale adoption. We propose the use of multiple software techniques such as dropout method, passive labeling, and parallelization techniques for addressing these hardware limitations. The study found that using these techniques along with quantum sampling showed comparable results to its classical counterparts in certain contexts, while in others the increased complexity of the sampling process hindered the performance of the trained models. This means that further research into the behavior of quantum sampling needs to be done to apply quantum annealing to training tasks of more complicated RBM models.
{"title":"Software techniques for training restricted Boltzmann machines on size-constrained quantum annealing hardware","authors":"Ilmo Salmenperä, Jukka K. Nurminen","doi":"10.3389/fcomp.2023.1286591","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1286591","url":null,"abstract":"Restricted Boltzmann machines are common machine learning models that can utilize quantum annealing devices in their training processes as quantum samplers. While this approach has shown promise as an alternative to classical sampling methods, the limitations of quantum annealing hardware, such as the number of qubits and the lack of connectivity between the qubits, still pose a barrier to wide-scale adoption. We propose the use of multiple software techniques such as dropout method, passive labeling, and parallelization techniques for addressing these hardware limitations. The study found that using these techniques along with quantum sampling showed comparable results to its classical counterparts in certain contexts, while in others the increased complexity of the sampling process hindered the performance of the trained models. This means that further research into the behavior of quantum sampling needs to be done to apply quantum annealing to training tasks of more complicated RBM models.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113788","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}
Pub Date : 2023-10-16DOI: 10.3389/fcomp.2023.1274928
Ngo Duong Ha, Nhu Y. Tran, Le Nhi Lam Thuy, Ikuko Shimizu, Pham The Bao
Classification of school violence has been proven to be an effective solution for preventing violence within educational institutions. As a result, technical proposals aimed at enhancing the efficacy of violence classification are of considerable interest to researchers. This study explores the utilization of the SORT tracking method for localizing and tracking objects in videos related to school violence, coupled with the application of LSTM and GRU methods to enhance the accuracy of the violence classification model. Furthermore, we introduce the concept of a padding box to localize, identify actions, and recover tracked objects lost during video playback. The integration of these techniques offers a robust and efficient system for analyzing and preventing violence in educational environments. The results demonstrate that object localization and recovery algorithms yield improved violent classification outcomes compared to both the SORT tracking and violence classification algorithms alone, achieving an impressive accuracy rate of 72.13%. These experimental findings hold promise, especially in educational settings, where the assumption of camera stability is justifiable. This distinction is crucial due to the unique characteristics of violence in educational environments, setting it apart from other forms of violence.
{"title":"Violence region localization in video and the school violent actions classification","authors":"Ngo Duong Ha, Nhu Y. Tran, Le Nhi Lam Thuy, Ikuko Shimizu, Pham The Bao","doi":"10.3389/fcomp.2023.1274928","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1274928","url":null,"abstract":"Classification of school violence has been proven to be an effective solution for preventing violence within educational institutions. As a result, technical proposals aimed at enhancing the efficacy of violence classification are of considerable interest to researchers. This study explores the utilization of the SORT tracking method for localizing and tracking objects in videos related to school violence, coupled with the application of LSTM and GRU methods to enhance the accuracy of the violence classification model. Furthermore, we introduce the concept of a padding box to localize, identify actions, and recover tracked objects lost during video playback. The integration of these techniques offers a robust and efficient system for analyzing and preventing violence in educational environments. The results demonstrate that object localization and recovery algorithms yield improved violent classification outcomes compared to both the SORT tracking and violence classification algorithms alone, achieving an impressive accuracy rate of 72.13%. These experimental findings hold promise, especially in educational settings, where the assumption of camera stability is justifiable. This distinction is crucial due to the unique characteristics of violence in educational environments, setting it apart from other forms of violence.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113796","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}
Pub Date : 2023-10-13DOI: 10.3389/fcomp.2023.1155864
Sarah Lewthwaite, Sarah Horton, Andy Coverdale
Accessibility in the digital world is a shared responsibility, requiring a common foundation of awareness and understanding. However, little is known about how digital accessibility can be effectively taught, and research on workplace teaching and training in accessibility is highly scarce, despite its crucial role in building accessibility capacity in the workforce. This paper considers workplace accessibility pedagogy to focus on aspects of foundational education, characterized as a pedagogically informed set of teaching strategies, cultivated through organizational and workplace cultures and practices. It contributes an analysis and synthesis of pedagogic research with 55 experienced accessibility educators in higher education and the workplace, in the UK and internationally, drawing on insights from expert panel methods including interviews, forums and focus groups. We find that digital accessibility is identified as a necessary core competency for an inclusive digital world. We examine the prevalent approaches that experienced workplace educators use to establish foundational awareness and understanding of accessibility to enable learners to achieve core learning objectives. We report the challenges that workplace educators face, negotiating different contexts and working practices and adapting foundational learning experiences to meet the pedagogic demands of different roles, responsibilities, and specialist advancement. In doing so, we demonstrate that establishing a common foundation of awareness and understanding is the basis for a pedagogic framework for digital accessibility education, with relevance for both workplace and academic settings.
{"title":"Workplace approaches to teaching digital accessibility: establishing a common foundation of awareness and understanding","authors":"Sarah Lewthwaite, Sarah Horton, Andy Coverdale","doi":"10.3389/fcomp.2023.1155864","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1155864","url":null,"abstract":"Accessibility in the digital world is a shared responsibility, requiring a common foundation of awareness and understanding. However, little is known about how digital accessibility can be effectively taught, and research on workplace teaching and training in accessibility is highly scarce, despite its crucial role in building accessibility capacity in the workforce. This paper considers workplace accessibility pedagogy to focus on aspects of foundational education, characterized as a pedagogically informed set of teaching strategies, cultivated through organizational and workplace cultures and practices. It contributes an analysis and synthesis of pedagogic research with 55 experienced accessibility educators in higher education and the workplace, in the UK and internationally, drawing on insights from expert panel methods including interviews, forums and focus groups. We find that digital accessibility is identified as a necessary core competency for an inclusive digital world. We examine the prevalent approaches that experienced workplace educators use to establish foundational awareness and understanding of accessibility to enable learners to achieve core learning objectives. We report the challenges that workplace educators face, negotiating different contexts and working practices and adapting foundational learning experiences to meet the pedagogic demands of different roles, responsibilities, and specialist advancement. In doing so, we demonstrate that establishing a common foundation of awareness and understanding is the basis for a pedagogic framework for digital accessibility education, with relevance for both workplace and academic settings.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135858724","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}
Pub Date : 2023-10-09DOI: 10.3389/fcomp.2023.1150348
Tianyi Wang, Shima Okada
Online live-streaming has become an essential segment of the music industry in the post-COVID- era. However, methods to enhance interaction between musicians and listeners at online concerts are yet to be adequately researched. In this pilot study, we propose Heart Fire, a system to promote musician-listener interaction that visualizes the listeners' mental states using a smartwatch-based architecture. Accordingly, the listeners' heart rates are first measured using a Galaxy smartwatch and then processed into a real-time animation of a burning flame, whose intensity is dependent on the heart rate, using Azure Kinect and TouchDesigner. The feasibility of the proposed system was confirmed using an experiment involving ten subjects. Each subject selected two types of music-cheerful and relaxing. The BPM and energy of each song were measured, and each subject's heart rate was monitored. Subsequently, each subject was asked to answer a questionnaire about the emotions they experienced. The results demonstrated that the proposed system is capable of visualizing audience response to music in real time.
{"title":"Heart fire for online live-streamed concerts: a pilot study of a smartwatch-based musician-listener interaction system","authors":"Tianyi Wang, Shima Okada","doi":"10.3389/fcomp.2023.1150348","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1150348","url":null,"abstract":"Online live-streaming has become an essential segment of the music industry in the post-COVID- era. However, methods to enhance interaction between musicians and listeners at online concerts are yet to be adequately researched. In this pilot study, we propose Heart Fire, a system to promote musician-listener interaction that visualizes the listeners' mental states using a smartwatch-based architecture. Accordingly, the listeners' heart rates are first measured using a Galaxy smartwatch and then processed into a real-time animation of a burning flame, whose intensity is dependent on the heart rate, using Azure Kinect and TouchDesigner. The feasibility of the proposed system was confirmed using an experiment involving ten subjects. Each subject selected two types of music-cheerful and relaxing. The BPM and energy of each song were measured, and each subject's heart rate was monitored. Subsequently, each subject was asked to answer a questionnaire about the emotions they experienced. The results demonstrated that the proposed system is capable of visualizing audience response to music in real time.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135095055","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}
Pub Date : 2023-10-06DOI: 10.3389/fcomp.2023.1214722
Gopalakrishnan Sriraman, Shriram R.
Software and information systems have become a core competency for every business in this connected world. Any enhancement in software delivery and operations will tremendously impact businesses and society. Sustainable software development is one of the key focus areas for software organizations. The application of intelligent automation leveraging artificial intelligence and cloud computing to deliver continuous value from software is in its nascent stage across the industry and is evolving rapidly. The advent of agile methodologies with DevOps has increased software quality and accelerated its delivery. Numerous software organizations have adopted DevOps to develop and operate their software systems and improve efficiency. Software organizations try to implement DevOps activities by taking advantage of various expert services. The adoption of DevOps by software organizations is beset with multiple challenges. These issues can be overcome by understanding and structurally addressing the pain points. This paper presents the preliminary analysis of the interviews with the relevant stakeholders. Ground truths were established and applied to evaluate various machine learning algorithms to compare their accuracy and test our hypothesis. This study aims to help researchers and practitioners understand the adoption of DevOps and the contexts in which the DevOps practices are viable. The experimental results will show that machine learning can predict an organization's readiness to adopt DevOps.
{"title":"A machine learning approach to predict DevOps readiness and adaptation in a heterogeneous IT environment","authors":"Gopalakrishnan Sriraman, Shriram R.","doi":"10.3389/fcomp.2023.1214722","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1214722","url":null,"abstract":"Software and information systems have become a core competency for every business in this connected world. Any enhancement in software delivery and operations will tremendously impact businesses and society. Sustainable software development is one of the key focus areas for software organizations. The application of intelligent automation leveraging artificial intelligence and cloud computing to deliver continuous value from software is in its nascent stage across the industry and is evolving rapidly. The advent of agile methodologies with DevOps has increased software quality and accelerated its delivery. Numerous software organizations have adopted DevOps to develop and operate their software systems and improve efficiency. Software organizations try to implement DevOps activities by taking advantage of various expert services. The adoption of DevOps by software organizations is beset with multiple challenges. These issues can be overcome by understanding and structurally addressing the pain points. This paper presents the preliminary analysis of the interviews with the relevant stakeholders. Ground truths were established and applied to evaluate various machine learning algorithms to compare their accuracy and test our hypothesis. This study aims to help researchers and practitioners understand the adoption of DevOps and the contexts in which the DevOps practices are viable. The experimental results will show that machine learning can predict an organization's readiness to adopt DevOps.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135350801","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}
Pub Date : 2023-10-05DOI: 10.3389/fcomp.2023.1156693
Sara Lenzi, Simone Spagnol, Elif Özcan
There is an increased awareness of how the quality of the acoustic environment impacts the lives of human beings. Several studies have shown that sound pollution has adverse effects on many populations, from infants to adults, in different environments and workplaces. Hospitals are susceptible environments that require special attention since sound can aggravate patients' health issues and negatively impact the performance of healthcare professionals. This paper focuses on Neonatal Intensive Care Units (NICU) as an especially sensitive case representing a hostile acoustic environment in which healthcare professionals have little awareness of how unwanted sounds impact the perceived quality of the soundscape. We performed a semi-systematic review of scientific literature on sound assessment studies in NICU from 2001. A thematic analysis was performed to identify emerging themes that informed the analysis of 27 technological solutions for the assessment of sound quality in indoor and outdoor environments. Solutions were categorized by functions and evaluation methods and grouped according to the characteristics of the design components, i.e., acquisition, computation, and communication strategies. Results highlight a lack of solutions to assess the qualitative characteristics of indoor environments such as NICU and forecast the footprint that different sound sources have on the indoor soundscape. Such solutions are urgently needed to empower healthcare professionals, and especially nurses, to actively modify and prevent the negative impact of unwanted sounds on NICU and critical care soundscape.
{"title":"Improving the quality of the acoustic environment in neonatal intensive care units: a review of scientific literature and technological solutions","authors":"Sara Lenzi, Simone Spagnol, Elif Özcan","doi":"10.3389/fcomp.2023.1156693","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1156693","url":null,"abstract":"There is an increased awareness of how the quality of the acoustic environment impacts the lives of human beings. Several studies have shown that sound pollution has adverse effects on many populations, from infants to adults, in different environments and workplaces. Hospitals are susceptible environments that require special attention since sound can aggravate patients' health issues and negatively impact the performance of healthcare professionals. This paper focuses on Neonatal Intensive Care Units (NICU) as an especially sensitive case representing a hostile acoustic environment in which healthcare professionals have little awareness of how unwanted sounds impact the perceived quality of the soundscape. We performed a semi-systematic review of scientific literature on sound assessment studies in NICU from 2001. A thematic analysis was performed to identify emerging themes that informed the analysis of 27 technological solutions for the assessment of sound quality in indoor and outdoor environments. Solutions were categorized by functions and evaluation methods and grouped according to the characteristics of the design components, i.e., acquisition, computation, and communication strategies. Results highlight a lack of solutions to assess the qualitative characteristics of indoor environments such as NICU and forecast the footprint that different sound sources have on the indoor soundscape. Such solutions are urgently needed to empower healthcare professionals, and especially nurses, to actively modify and prevent the negative impact of unwanted sounds on NICU and critical care soundscape.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"442 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135481225","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}
Pub Date : 2023-10-04DOI: 10.3389/fcomp.2023.1113078
Asha Ward
Within the field of digital musical instruments, there have been a growing number of technological developments aimed at addressing the issue of accessibility to music-making for disabled people. This study summarizes the development of one such technological system—The Modular Accessible Musical Instrument Technology Toolkit (MAMI Tech Toolkit). The four tools in the toolkit and accompanying software were developed over 5 years using an action research methodology. A range of stakeholders across four research sites were involved in the development. This study outlines the methodological process, the stakeholder involvement, and how the data were used to inform the design of the toolkit. The accessibility of the toolkit is also discussed alongside findings that have emerged from the process. This study adds to the established canon of research around accessible digital musical instruments by documenting the creation of an accessible toolkit grounded in both theory and practical application of third-wave human–computer interaction methods. This study contributes to the discourse around the use of participatory and iterative methods to explore issues with, and barriers to, active music-making with music technology. Outlined is the development of each of the novel tools in the toolkit, the functionality they offer, as well as the accessibility issues they address. The study advances knowledge around active music-making using music technology, as well as in working with diverse users to create these new types of systems.
{"title":"The development of a Modular Accessible Musical Instrument Technology Toolkit using action research","authors":"Asha Ward","doi":"10.3389/fcomp.2023.1113078","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1113078","url":null,"abstract":"Within the field of digital musical instruments, there have been a growing number of technological developments aimed at addressing the issue of accessibility to music-making for disabled people. This study summarizes the development of one such technological system—The Modular Accessible Musical Instrument Technology Toolkit (MAMI Tech Toolkit). The four tools in the toolkit and accompanying software were developed over 5 years using an action research methodology. A range of stakeholders across four research sites were involved in the development. This study outlines the methodological process, the stakeholder involvement, and how the data were used to inform the design of the toolkit. The accessibility of the toolkit is also discussed alongside findings that have emerged from the process. This study adds to the established canon of research around accessible digital musical instruments by documenting the creation of an accessible toolkit grounded in both theory and practical application of third-wave human–computer interaction methods. This study contributes to the discourse around the use of participatory and iterative methods to explore issues with, and barriers to, active music-making with music technology. Outlined is the development of each of the novel tools in the toolkit, the functionality they offer, as well as the accessibility issues they address. The study advances knowledge around active music-making using music technology, as well as in working with diverse users to create these new types of systems.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135548084","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}
Pub Date : 2023-10-02DOI: 10.3389/fcomp.2023.1253166
Kimberley Nault, Umar Ruhi
Digital media has facilitated information spread and simultaneously opened a gateway for the distribution of disinformation. Websites and browser extensions have been put forth to mitigate its harm; however, there is a lack of research exploring their efficacy and user experiences. To address this gap, we conducted a usability evaluation of two websites and three browser extensions. Using a mixed methods approach, data from a heuristic evaluation and a moderated, task-based usability evaluation are analyzed in triangulation with data collected using summative evaluations. Challenges are identified to stem from users’ inability to understand results due to the presentation of information, unclear terminology, or lack of explanations. As a solution, we recommend four design principles: First is to establish credibility, second is to improve the general visual layout and design of the tools, third is to improve search capabilities, and finally, heavy importance should be given to the depth and presentation of information.
{"title":"User experience with disinformation-countering tools: usability challenges and suggestions for improvement","authors":"Kimberley Nault, Umar Ruhi","doi":"10.3389/fcomp.2023.1253166","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1253166","url":null,"abstract":"Digital media has facilitated information spread and simultaneously opened a gateway for the distribution of disinformation. Websites and browser extensions have been put forth to mitigate its harm; however, there is a lack of research exploring their efficacy and user experiences. To address this gap, we conducted a usability evaluation of two websites and three browser extensions. Using a mixed methods approach, data from a heuristic evaluation and a moderated, task-based usability evaluation are analyzed in triangulation with data collected using summative evaluations. Challenges are identified to stem from users’ inability to understand results due to the presentation of information, unclear terminology, or lack of explanations. As a solution, we recommend four design principles: First is to establish credibility, second is to improve the general visual layout and design of the tools, third is to improve search capabilities, and finally, heavy importance should be given to the depth and presentation of information.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135828648","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}
Pub Date : 2023-09-29DOI: 10.3389/fcomp.2023.1215588
Rikard Harr, Linnea Öhlund
Personal health and wellbeing have grown as an object of study within HCI research and many individuals undergoing weight loss journeys use persuasive systems, such as weight loss apps, to guide them. These systems rely on various principles to persuade users toward their health goal and have in much research been considered having positive effects. There are however also parallel findings indicating unwanted effects. To explore the effects of persuasive system design, we conduct a longitudinal exploratory expert evaluation of 10 free weight loss tracking apps by emulating drastic weight loss for an extended period of time. The objective of the exploration is to unravel potential negative effects of using such systems. Our findings highlight risks of negative effects as some apps take a passive stance toward drastic weight loss, while others actively encourage it through design. We contribute to a growing strand of health related HCI research by mapping out the relation between design and negative consequences of persuasive system use.
{"title":"Congratulations! You are severely underweight—Exploring negative consequences of persuasive system design","authors":"Rikard Harr, Linnea Öhlund","doi":"10.3389/fcomp.2023.1215588","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1215588","url":null,"abstract":"Personal health and wellbeing have grown as an object of study within HCI research and many individuals undergoing weight loss journeys use persuasive systems, such as weight loss apps, to guide them. These systems rely on various principles to persuade users toward their health goal and have in much research been considered having positive effects. There are however also parallel findings indicating unwanted effects. To explore the effects of persuasive system design, we conduct a longitudinal exploratory expert evaluation of 10 free weight loss tracking apps by emulating drastic weight loss for an extended period of time. The objective of the exploration is to unravel potential negative effects of using such systems. Our findings highlight risks of negative effects as some apps take a passive stance toward drastic weight loss, while others actively encourage it through design. We contribute to a growing strand of health related HCI research by mapping out the relation between design and negative consequences of persuasive system use.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135245979","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}
Pub Date : 2023-09-28DOI: 10.3389/fcomp.2023.1250652
Bhavya Sri Sanku, Yi (Joy) Li, Sungchul Jung, Chao Mei, Jing (Selena) He
Background The ability to maintain attention is crucial for achieving success in various aspects of life, including academic pursuits, career advancement, and social interactions. Attention deficit disorder (ADD) is a common symptom associated with autism spectrum disorder (ASD), which can pose challenges for individuals affected by it, impacting their social interactions and learning abilities. To address this issue, virtual reality (VR) has emerged as a promising tool for attention training with the ability to create personalized virtual worlds, providing a conducive platform for attention-focused interventions. Furthermore, leveraging physiological data can be instrumental in the development and enhancement of attention-training techniques for individuals. Methods In our preliminary study, a functional prototype for attention therapy systems was developed. In the current phase, the objective is to create a framework called VR-PDA (Virtual Reality Physiological Data Analysis) that utilizes physiological data for tracking and improving attention in individuals. Four distinct training strategies such as noise, score, object opacity, and red vignette are implemented in this framework. The primary goal is to leverage virtual reality technology and physiological data analysis to enhance attentional capabilities. Results Our data analysis results revealed that reinforcement training strategies are crucial for improving attention in individuals with ASD, while they are not significant for non-autistic individuals. Among all the different strategies employed, the noise strategy demonstrates superior efficacy in training attention among individuals with ASD. On the other hand, for Non-ASD individuals, no specific training proves to be effective in enhancing attention. The total gazing time feature exhibited benefits for participants with and without ASD. Discussion The results consistently demonstrated favorable outcomes for both groups, indicating an enhanced level of attentiveness. These findings provide valuable insights into the effectiveness of different strategies for attention training and emphasize the potential of virtual reality (VR) and physiological data in attention training programs for individuals with ASD. The results of this study open up new avenues for further research and inspire future developments.
{"title":"Enhancing attention in autism spectrum disorder: comparative analysis of virtual reality-based training programs using physiological data","authors":"Bhavya Sri Sanku, Yi (Joy) Li, Sungchul Jung, Chao Mei, Jing (Selena) He","doi":"10.3389/fcomp.2023.1250652","DOIUrl":"https://doi.org/10.3389/fcomp.2023.1250652","url":null,"abstract":"Background The ability to maintain attention is crucial for achieving success in various aspects of life, including academic pursuits, career advancement, and social interactions. Attention deficit disorder (ADD) is a common symptom associated with autism spectrum disorder (ASD), which can pose challenges for individuals affected by it, impacting their social interactions and learning abilities. To address this issue, virtual reality (VR) has emerged as a promising tool for attention training with the ability to create personalized virtual worlds, providing a conducive platform for attention-focused interventions. Furthermore, leveraging physiological data can be instrumental in the development and enhancement of attention-training techniques for individuals. Methods In our preliminary study, a functional prototype for attention therapy systems was developed. In the current phase, the objective is to create a framework called VR-PDA (Virtual Reality Physiological Data Analysis) that utilizes physiological data for tracking and improving attention in individuals. Four distinct training strategies such as noise, score, object opacity, and red vignette are implemented in this framework. The primary goal is to leverage virtual reality technology and physiological data analysis to enhance attentional capabilities. Results Our data analysis results revealed that reinforcement training strategies are crucial for improving attention in individuals with ASD, while they are not significant for non-autistic individuals. Among all the different strategies employed, the noise strategy demonstrates superior efficacy in training attention among individuals with ASD. On the other hand, for Non-ASD individuals, no specific training proves to be effective in enhancing attention. The total gazing time feature exhibited benefits for participants with and without ASD. Discussion The results consistently demonstrated favorable outcomes for both groups, indicating an enhanced level of attentiveness. These findings provide valuable insights into the effectiveness of different strategies for attention training and emphasize the potential of virtual reality (VR) and physiological data in attention training programs for individuals with ASD. The results of this study open up new avenues for further research and inspire future developments.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135425651","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：