P. Mayer, Yixin Zou, Byron M. Lowens, Hunter A. Dyer, Khue Le, F. Schaub, Adam J. Aviv
Data breaches are prevalent. We provide novel insights into individuals’ awareness, perception, and responses to breaches that affect them through two online surveys: a main survey (n = 413) in which we presented participants with up to three breaches that affected them, and a follow-up survey (n = 108) in which we investigated whether the main study participants followed through with their intentions to act. Overall, 73% of participants were affected by at least one breach, but participants were unaware of 74% of breaches affecting them. While some reported intention to take action, most participants believed the breach would not impact them. We also found a sizeable intention-behavior gap. Participants did not follow through with their intention when they were apathetic about breaches, considered potential costs, forgot, or felt resigned about taking action. Our findings suggest that breached organizations should be held accountable for more proactively informing and protecting affected consumers.
{"title":"Awareness, Intention, (In)Action: Individuals’ Reactions to Data Breaches","authors":"P. Mayer, Yixin Zou, Byron M. Lowens, Hunter A. Dyer, Khue Le, F. Schaub, Adam J. Aviv","doi":"10.1145/3589958","DOIUrl":"https://doi.org/10.1145/3589958","url":null,"abstract":"Data breaches are prevalent. We provide novel insights into individuals’ awareness, perception, and responses to breaches that affect them through two online surveys: a main survey (n = 413) in which we presented participants with up to three breaches that affected them, and a follow-up survey (n = 108) in which we investigated whether the main study participants followed through with their intentions to act. Overall, 73% of participants were affected by at least one breach, but participants were unaware of 74% of breaches affecting them. While some reported intention to take action, most participants believed the breach would not impact them. We also found a sizeable intention-behavior gap. Participants did not follow through with their intention when they were apathetic about breaches, considered potential costs, forgot, or felt resigned about taking action. Our findings suggest that breached organizations should be held accountable for more proactively informing and protecting affected consumers.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45543382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fujiko Robledo Yamamoto, Janghee Cho, A. Voida, Stephen Voida
Graduate students are facing a mental health crisis due to a combination of individual, community, and societal factors. Many existing stress management interventions engage with one factor at a time, typically focusing on providing a user with data about their stress state. We conducted co-design workshops with graduate students who work closely together to explore their strategies for managing stress and to learn about what types of technologies they envision to help address their stress. Using Ecological Systems Theory as an conceptual framework, our analysis of the designs and discussions from these workshops contributes an expanded design space for stress management—one that foregrounds the affordances and challenges of designing interventions that cut across ecological systems levels along with designs that approach stress management using a broader diversity of strategies: controlling, disconnecting, and normalizing stress. We argue that this expanded design space embraces a more holistic and human approach to designing stress management technologies.
{"title":"”We are researchers, but we are also humans”: Creating a design space for managing graduate student stress","authors":"Fujiko Robledo Yamamoto, Janghee Cho, A. Voida, Stephen Voida","doi":"10.1145/3589956","DOIUrl":"https://doi.org/10.1145/3589956","url":null,"abstract":"Graduate students are facing a mental health crisis due to a combination of individual, community, and societal factors. Many existing stress management interventions engage with one factor at a time, typically focusing on providing a user with data about their stress state. We conducted co-design workshops with graduate students who work closely together to explore their strategies for managing stress and to learn about what types of technologies they envision to help address their stress. Using Ecological Systems Theory as an conceptual framework, our analysis of the designs and discussions from these workshops contributes an expanded design space for stress management—one that foregrounds the affordances and challenges of designing interventions that cut across ecological systems levels along with designs that approach stress management using a broader diversity of strategies: controlling, disconnecting, and normalizing stress. We argue that this expanded design space embraces a more holistic and human approach to designing stress management technologies.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":"1 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64073360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Wisiecka, Yuumi Konishi, Krzysztof Krejtz, Mahshid Zolfaghari, B. Kopainsky, I. Krejtz, H. Koike, M. Fjeld
This paper examines the attentional mechanism of in-person collaboration by means of System Dynamics-based simulations using an eye tracking experiment. Three experimental conditions were tested: in-person collaboration, remote collaboration, and single user. We hypothesized that collaboration focuses users’ attention on key information facilitating decision-making. Collaborating participants dwelt longer on key elements of the simulation than single users. Moreover, in-person collaboration and single users yielded a strategy of decision-making similar to an optimal strategy. Finally, in-person collaboration was less cognitively demanding and of higher quality. The contribution of this paper is a deeper understanding of how in-person collaboration on a large display can help users focus their visual attention on the most important areas. With this novel understanding, we believe collaborative systems designers will be better equipped to design more effective attention-guiding mechanisms in remote collaboration systems. The present work has the potential to advance the study of collaborative, interactive technologies.
{"title":"Supporting Complex Decision-Making. Evidence from an Eye Tracking Study on In-Person and Remote Collaboration","authors":"K. Wisiecka, Yuumi Konishi, Krzysztof Krejtz, Mahshid Zolfaghari, B. Kopainsky, I. Krejtz, H. Koike, M. Fjeld","doi":"10.1145/3581787","DOIUrl":"https://doi.org/10.1145/3581787","url":null,"abstract":"This paper examines the attentional mechanism of in-person collaboration by means of System Dynamics-based simulations using an eye tracking experiment. Three experimental conditions were tested: in-person collaboration, remote collaboration, and single user. We hypothesized that collaboration focuses users’ attention on key information facilitating decision-making. Collaborating participants dwelt longer on key elements of the simulation than single users. Moreover, in-person collaboration and single users yielded a strategy of decision-making similar to an optimal strategy. Finally, in-person collaboration was less cognitively demanding and of higher quality. The contribution of this paper is a deeper understanding of how in-person collaboration on a large display can help users focus their visual attention on the most important areas. With this novel understanding, we believe collaborative systems designers will be better equipped to design more effective attention-guiding mechanisms in remote collaboration systems. The present work has the potential to advance the study of collaborative, interactive technologies.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48593179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Gao, K. T. W. Choo, Junming Cao, R. Lee, Simon T. Perrault
While AI-assisted individual qualitative analysis has been substantially studied, AI-assisted collaborative qualitative analysis (CQA) – a process that involves multiple researchers working together to interpret data – remains relatively unexplored. After identifying CQA practices and design opportunities through formative interviews, we designed and implemented CoAIcoder, a tool leveraging AI to enhance human-to-human collaboration within CQA through four distinct collaboration methods. With a between-subject design, we evaluated CoAIcoder with 32 pairs of CQA-trained participants across common CQA phases under each collaboration method. Our findings suggest that while using a shared AI model as a mediator among coders could improve CQA efficiency and foster agreement more quickly in the early coding stage, it might affect the final code diversity. We also emphasize the need to consider the independence level when using AI to assist human-to-human collaboration in various CQA scenarios. Lastly, we suggest design implications for future AI-assisted CQA systems.
{"title":"CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis","authors":"Jie Gao, K. T. W. Choo, Junming Cao, R. Lee, Simon T. Perrault","doi":"10.1145/3617362","DOIUrl":"https://doi.org/10.1145/3617362","url":null,"abstract":"While AI-assisted individual qualitative analysis has been substantially studied, AI-assisted collaborative qualitative analysis (CQA) – a process that involves multiple researchers working together to interpret data – remains relatively unexplored. After identifying CQA practices and design opportunities through formative interviews, we designed and implemented CoAIcoder, a tool leveraging AI to enhance human-to-human collaboration within CQA through four distinct collaboration methods. With a between-subject design, we evaluated CoAIcoder with 32 pairs of CQA-trained participants across common CQA phases under each collaboration method. Our findings suggest that while using a shared AI model as a mediator among coders could improve CQA efficiency and foster agreement more quickly in the early coding stage, it might affect the final code diversity. We also emphasize the need to consider the independence level when using AI to assist human-to-human collaboration in various CQA scenarios. Lastly, we suggest design implications for future AI-assisted CQA systems.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47886260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tianyu Ren, Dengfeng Yao, Chaoran Yang, Xinchen Kang
Chinese Sign Language (CSL) and Chinese are languages used in the Chinese mainland. As a dominant language, Chinese has great influence on all levels of CSL. CSL, as a visual sign language, is fundamentally different from Chinese in linguistic structure. Unlike English, Chinese, as a pictograph, has influence on Chinese and CSL. This study explains in detail the influence of Chinese characters on CSL at the lexical level, including many elements from Chinese, such as "仿字fangzi" (form imitating Chinese characters), "书空shukong" (writing in the air with the index finger), loan translation, finger spelling, and mouthing patterns. This influence is not a simple borrowing of Chinese characters, but a creative imitation and adaptation according to the needs of sign language to express meaning. After a long period of evolution, the characteristics of Chinese characters are naturally integrated into CSL loanwords, which makes the relationship between sign language and Chinese characters closer. CSL borrows a large number of Chinese words, most of which are signs to express non-core concepts. These borrowed signs are indispensable part of CSL sign language family, enriches sign language vocabulary, improves the accuracy of sign language expression, and plays a positive role in promoting the learning, work, and lives of deaf people.
{"title":"The Influence of Chinese Characters on Chinese Sign Language","authors":"Tianyu Ren, Dengfeng Yao, Chaoran Yang, Xinchen Kang","doi":"10.1145/3591465","DOIUrl":"https://doi.org/10.1145/3591465","url":null,"abstract":"Chinese Sign Language (CSL) and Chinese are languages used in the Chinese mainland. As a dominant language, Chinese has great influence on all levels of CSL. CSL, as a visual sign language, is fundamentally different from Chinese in linguistic structure. Unlike English, Chinese, as a pictograph, has influence on Chinese and CSL. This study explains in detail the influence of Chinese characters on CSL at the lexical level, including many elements from Chinese, such as \"仿字fangzi\" (form imitating Chinese characters), \"书空shukong\" (writing in the air with the index finger), loan translation, finger spelling, and mouthing patterns. This influence is not a simple borrowing of Chinese characters, but a creative imitation and adaptation according to the needs of sign language to express meaning. After a long period of evolution, the characteristics of Chinese characters are naturally integrated into CSL loanwords, which makes the relationship between sign language and Chinese characters closer. CSL borrows a large number of Chinese words, most of which are signs to express non-core concepts. These borrowed signs are indispensable part of CSL sign language family, enriches sign language vocabulary, improves the accuracy of sign language expression, and plays a positive role in promoting the learning, work, and lives of deaf people.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":"1 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41588021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Philip Engelbutzeder, David Randell, M. Landwehr, Konstantin Aal, G. Stevens, V. Wulf
Food practices have become an important context for questions around sustainability. Within HCI, Sustainable HCI and Human-Food-Interaction have developed as a response. We argue, nevertheless, that food practices as a social activity remain relatively under-examined and further that sustainable food practices hinge on communal activity. We present the results of action-oriented research with a grassroots movement committed to sustainable food practices at a local, communal level, thereby demonstrating the role of ICT in making food resource sharing a viable practice. We suggest that the current focus on food sharing might usefully be supplemented by attention to food resource sharing, an approach that aligns with a paradigm shift from surplus to abundance. We argue for design that aims to encourage food resource sharing at a local level but that also has wider ramifications. These ‘glocal’ endeavors recognize the complexity of prosumption practices and foster aspirations for ‘deep change’ in food systems.
{"title":"From surplus and scarcity towards abundance: Understanding the use of ICT in food resource sharing practices","authors":"Philip Engelbutzeder, David Randell, M. Landwehr, Konstantin Aal, G. Stevens, V. Wulf","doi":"10.1145/3589957","DOIUrl":"https://doi.org/10.1145/3589957","url":null,"abstract":"Food practices have become an important context for questions around sustainability. Within HCI, Sustainable HCI and Human-Food-Interaction have developed as a response. We argue, nevertheless, that food practices as a social activity remain relatively under-examined and further that sustainable food practices hinge on communal activity. We present the results of action-oriented research with a grassroots movement committed to sustainable food practices at a local, communal level, thereby demonstrating the role of ICT in making food resource sharing a viable practice. We suggest that the current focus on food sharing might usefully be supplemented by attention to food resource sharing, an approach that aligns with a paradigm shift from surplus to abundance. We argue for design that aims to encourage food resource sharing at a local level but that also has wider ramifications. These ‘glocal’ endeavors recognize the complexity of prosumption practices and foster aspirations for ‘deep change’ in food systems.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49539589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Prather, B. Reeves, Paul Denny, Brett A. Becker, Juho Leinonen, Andrew Luxton-Reilly, Garrett B. Powell, James Finnie-Ansley, E. Santos
Recent developments in deep learning have resulted in code-generation models that produce source code from natural language and code-based prompts with high accuracy. This is likely to have profound effects in the classroom, where novices learning to code can now use free tools to automatically suggest solutions to programming exercises and assignments. However, little is currently known about how novices interact with these tools in practice. We present the first study that observes students at the introductory level using one such code auto-generating tool, Github Copilot, on a typical introductory programming (CS1) assignment. Through observations and interviews we explore student perceptions of the benefits and pitfalls of this technology for learning, present new observed interaction patterns, and discuss cognitive and metacognitive difficulties faced by students. We consider design implications of these findings, specifically in terms of how tools like Copilot can better support and scaffold the novice programming experience.
{"title":"“It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers","authors":"J. Prather, B. Reeves, Paul Denny, Brett A. Becker, Juho Leinonen, Andrew Luxton-Reilly, Garrett B. Powell, James Finnie-Ansley, E. Santos","doi":"10.1145/3617367","DOIUrl":"https://doi.org/10.1145/3617367","url":null,"abstract":"Recent developments in deep learning have resulted in code-generation models that produce source code from natural language and code-based prompts with high accuracy. This is likely to have profound effects in the classroom, where novices learning to code can now use free tools to automatically suggest solutions to programming exercises and assignments. However, little is currently known about how novices interact with these tools in practice. We present the first study that observes students at the introductory level using one such code auto-generating tool, Github Copilot, on a typical introductory programming (CS1) assignment. Through observations and interviews we explore student perceptions of the benefits and pitfalls of this technology for learning, present new observed interaction patterns, and discuss cognitive and metacognitive difficulties faced by students. We consider design implications of these findings, specifically in terms of how tools like Copilot can better support and scaffold the novice programming experience.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46390230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhuying Li, Yan Wang, Josh Andrés, N. Semertzidis, S. Greuter, F. Mueller
Ingestible sensors have become smaller and more powerful and allow us to envisage new human-computer interactions and bodily play experiences inside our bodies. Users can swallow ingestible sensors, which facilitate interior body sensing functions that provide data on which play experiences can be built. We call bodily play that uses ingestible sensors as play technologies “ingestible play”, and we have adopted a research-through-design (RtD) approach to investigate three prototypes. For each prototype, we conducted a field study to understand the player experiences. Based upon these results and practical design experiences, we have developed a design framework for ingestible play. We hope this work can guide the future design of ingestible play; inspire the design of play technologies inside the human body to expand the current bodily play design space; and ultimately extend our understanding of how to design for the human body by considering the bodily experience of one’s interior body.
{"title":"A Design Framework for Ingestible Play","authors":"Zhuying Li, Yan Wang, Josh Andrés, N. Semertzidis, S. Greuter, F. Mueller","doi":"10.1145/3589954","DOIUrl":"https://doi.org/10.1145/3589954","url":null,"abstract":"Ingestible sensors have become smaller and more powerful and allow us to envisage new human-computer interactions and bodily play experiences inside our bodies. Users can swallow ingestible sensors, which facilitate interior body sensing functions that provide data on which play experiences can be built. We call bodily play that uses ingestible sensors as play technologies “ingestible play”, and we have adopted a research-through-design (RtD) approach to investigate three prototypes. For each prototype, we conducted a field study to understand the player experiences. Based upon these results and practical design experiences, we have developed a design framework for ingestible play. We hope this work can guide the future design of ingestible play; inspire the design of play technologies inside the human body to expand the current bodily play design space; and ultimately extend our understanding of how to design for the human body by considering the bodily experience of one’s interior body.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":"1 - 39"},"PeriodicalIF":3.7,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49365625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aske Mottelson, A. Muresan, K. Hornbæk, G. Makransky
Body ownership illusions (BOIs) occur when participants experience that their actual body is replaced by a body shown in virtual reality (VR). Based on a systematic review of the cumulative evidence on BOIs from 111 research papers published in 2010 to 2021, this article summarizes the findings of empirical studies of BOIs. Following the PRISMA guidelines, the review points to diverse experimental practices for inducing and measuring body ownership. The two major components of embodiment measurement, body ownership and agency, are examined. The embodiment of virtual avatars generally leads to modest body ownership and slightly higher agency. We also find that BOI research lacks statistical power and standardization across tasks, measurement instruments, and analysis approaches. Furthermore, the reviewed studies showed a lack of clarity in fundamental terminology, constructs, and theoretical underpinnings. These issues restrict scientific advances on the major components of BOIs, and together impede scientific rigor and theory-building.
{"title":"A Systematic Review and Meta-analysis of the Effectiveness of Body Ownership Illusions in Virtual Reality","authors":"Aske Mottelson, A. Muresan, K. Hornbæk, G. Makransky","doi":"10.1145/3590767","DOIUrl":"https://doi.org/10.1145/3590767","url":null,"abstract":"Body ownership illusions (BOIs) occur when participants experience that their actual body is replaced by a body shown in virtual reality (VR). Based on a systematic review of the cumulative evidence on BOIs from 111 research papers published in 2010 to 2021, this article summarizes the findings of empirical studies of BOIs. Following the PRISMA guidelines, the review points to diverse experimental practices for inducing and measuring body ownership. The two major components of embodiment measurement, body ownership and agency, are examined. The embodiment of virtual avatars generally leads to modest body ownership and slightly higher agency. We also find that BOI research lacks statistical power and standardization across tasks, measurement instruments, and analysis approaches. Furthermore, the reviewed studies showed a lack of clarity in fundamental terminology, constructs, and theoretical underpinnings. These issues restrict scientific advances on the major components of BOIs, and together impede scientific rigor and theory-building.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48054121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yue You, Chun-Hua Tsai, Yao Li, Fenglong Ma, Christopher Heron, Xinning Gui
Chatbot-based symptom checker (CSC) apps have become increasingly popular in healthcare. These apps engage users in human-like conversations and offer possible medical diagnoses. The conversational design of these apps can significantly impact user perceptions and experiences, and may influence medical decisions users make and the medical care they receive. However, the effects of the conversational design of CSCs remain understudied, and there is a need to investigate and enhance users’ interactions with CSCs. In this article, we conducted a two-stage exploratory study using a human-centered design methodology. We first conducted a qualitative interview study to identify key user needs in engaging with CSCs. We then performed an experimental study to investigate potential CSC conversational design solutions based on the results from the interview study. We identified that emotional support, explanations of medical information, and efficiency were important factors for users in their interactions with CSCs. We also demonstrated that emotional support and explanations could affect user perceptions and experiences, and they are context-dependent. Based on these findings, we offer design implications for CSC conversations to improve the user experience and health-related decision-making.
{"title":"Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond","authors":"Yue You, Chun-Hua Tsai, Yao Li, Fenglong Ma, Christopher Heron, Xinning Gui","doi":"10.1145/3589959","DOIUrl":"https://doi.org/10.1145/3589959","url":null,"abstract":"Chatbot-based symptom checker (CSC) apps have become increasingly popular in healthcare. These apps engage users in human-like conversations and offer possible medical diagnoses. The conversational design of these apps can significantly impact user perceptions and experiences, and may influence medical decisions users make and the medical care they receive. However, the effects of the conversational design of CSCs remain understudied, and there is a need to investigate and enhance users’ interactions with CSCs. In this article, we conducted a two-stage exploratory study using a human-centered design methodology. We first conducted a qualitative interview study to identify key user needs in engaging with CSCs. We then performed an experimental study to investigate potential CSC conversational design solutions based on the results from the interview study. We identified that emotional support, explanations of medical information, and efficiency were important factors for users in their interactions with CSCs. We also demonstrated that emotional support and explanations could affect user perceptions and experiences, and they are context-dependent. Based on these findings, we offer design implications for CSC conversations to improve the user experience and health-related decision-making.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":"30 1","pages":"1 - 44"},"PeriodicalIF":3.7,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42835655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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