Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference最新文献

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. 反思复杂医疗决策中的人机协作：败血症诊断案例研究》。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2024-05-01 Epub Date: 2024-05-11 DOI: 10.1145/3613904.3642343

Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M Padilla, Jeffrey Caterino, Ping Zhang, Dakuo Wang

{"title":"Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis.","authors":"Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M Padilla, Jeffrey Caterino, Ping Zhang, Dakuo Wang","doi":"10.1145/3613904.3642343","DOIUrl":"10.1145/3613904.3642343","url":null,"abstract":"Today's AI systems for medical decision support often succeed on benchmark datasets in research papers but fail in real-world deployment. This work focuses on the decision making of sepsis, an acute life-threatening systematic infection that requires an early diagnosis with high uncertainty from the clinician. Our aim is to explore the design requirements for AI systems that can support clinical experts in making better decisions for the early diagnosis of sepsis. The study begins with a formative study investigating why clinical experts abandon an existing AI-powered Sepsis predictive module in their electrical health record (EHR) system. We argue that a human-centered AI system needs to support human experts in the intermediate stages of a medical decision-making process (e.g., generating hypotheses or gathering data), instead of focusing only on the final decision. Therefore, we build SepsisLab based on a state-of-the-art AI algorithm and extend it to predict the future projection of sepsis development, visualize the prediction uncertainty, and propose actionable suggestions (i.e., which additional laboratory tests can be collected) to reduce such uncertainty. Through heuristic evaluation with six clinicians using our prototype system, we demonstrate that SepsisLab enables a promising human-AI collaboration paradigm for the future of AI-assisted sepsis diagnosis and other high-stakes medical decision making.","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2024 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149368/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141249246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health Condition. 偏头痛追踪器：研究慢性病患者的目标导向自我追踪体验。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2024-05-01 Epub Date: 2024-05-11 DOI: 10.1145/3613904.3642075

Yasaman S Sefidgar, Carla L Castillo, Shaan Chopra, Liwei Jiang, Tae Jones, Anant Mittal, Hyeyoung Ryu, Jessica Schroeder, Allison Cole, Natalia Murinova, Sean A Munson, James Fogarty

{"title":"MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health Condition.","authors":"Yasaman S Sefidgar, Carla L Castillo, Shaan Chopra, Liwei Jiang, Tae Jones, Anant Mittal, Hyeyoung Ryu, Jessica Schroeder, Allison Cole, Natalia Murinova, Sean A Munson, James Fogarty","doi":"10.1145/3613904.3642075","DOIUrl":"10.1145/3613904.3642075","url":null,"abstract":"Self-tracking and personal informatics offer important potential in chronic condition management, but such potential is often undermined by difficulty in aligning self-tracking tools to an individual's goals. Informed by prior proposals of goal-directed tracking, we designed and developed MigraineTracker, a prototype app that emphasizes explicit expression of goals for migraine-related self-tracking. We then examined migraine patient experiences in a deployment study for an average of 12+ months, including a total of 50 interview sessions with 10 patients working with 3 different clinicians. Patients were able to express multiple types of goals, evolve their goals over time, align tracking to their goals, personalize their tracking, reflect in the context of their goals, and gain insights that enabled understanding, communication, and action. We discuss how these results highlight the importance of accounting for distinct and concurrent goals in personal informatics together with implications for the design of future goal-directed personal informatics tools.","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2024 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11090491/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140917667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. 了解大语言模型在个性化和支架式策略中的作用，以应对学习拖延症。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2024-05-01 Epub Date: 2024-05-11 DOI: 10.1145/3613904.3642081

Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P Czerwinski, Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams

{"title":"Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.","authors":"Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P Czerwinski, Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams","doi":"10.1145/3613904.3642081","DOIUrl":"10.1145/3613904.3642081","url":null,"abstract":"Traditional interventions for academic procrastination often fail to capture the nuanced, individual-specific factors that underlie them. Large language models (LLMs) hold immense potential for addressing this gap by permitting open-ended inputs, including the ability to customize interventions to individuals' unique needs. However, user expectations and potential limitations of LLMs in this context remain underexplored. To address this, we conducted interviews and focus group discussions with 15 university students and 6 experts, during which a technology probe for generating personalized advice for managing procrastination was presented. Our results highlight the necessity for LLMs to provide structured, deadline-oriented steps and enhanced user support mechanisms. Additionally, our results surface the need for an adaptive approach to questioning based on factors like busyness. These findings offer crucial design implications for the development of LLM-based tools for managing procrastination while cautioning the use of LLMs for therapeutic guidance.","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2024 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11166253/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141307593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding Contexts and Challenges of Information Management for Epilepsy Care. 理解癫痫护理信息管理的背景和挑战。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2023-04-01 Epub Date: 2023-04-19 DOI: 10.1145/3544548.3580949

Aehong Min, Wendy R Miller, Luis M Rocha, Katy Börner, Rion Brattig Correia, Patrick C Shih

{"title":"Understanding Contexts and Challenges of Information Management for Epilepsy Care.","authors":"Aehong Min, Wendy R Miller, Luis M Rocha, Katy Börner, Rion Brattig Correia, Patrick C Shih","doi":"10.1145/3544548.3580949","DOIUrl":"10.1145/3544548.3580949","url":null,"abstract":"Epilepsy is a common chronic neurological disease. People with epilepsy (PWE) and their caregivers face several challenges related to their epilepsy management, including quality of care, care coordination, side effects, and stigma management. The sociotechnical issues of the information management contexts and challenges for epilepsy care may be mitigated through effective information management. We conducted 4 focus groups with 5 PWE and 7 caregivers to explore how they manage epilepsy-related information and the challenges they encountered. Primary issues include challenges of finding the right information, complexities of tracking and monitoring data, and limited information sharing. We provide a framework that encompasses three attributes - individual epilepsy symptoms and health conditions, information complexity, and circumstantial constraints. We suggest future design implications to mitigate these challenges and improve epilepsy information management and care coordination.","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2023 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544776/pdf/nihms-1933362.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41158951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing. 调查情境在发送支持心理健康短信中的作用。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2023-04-01 Epub Date: 2023-04-19 DOI: 10.1145/3544548.3580774

Ananya Bhattacharjee, Joseph Jay Williams, Jonah Meyerhoff, Harsh Kumar, Alex Mariakakis, Rachel Kornfield

{"title":"Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing.","authors":"Ananya Bhattacharjee, Joseph Jay Williams, Jonah Meyerhoff, Harsh Kumar, Alex Mariakakis, Rachel Kornfield","doi":"10.1145/3544548.3580774","DOIUrl":"10.1145/3544548.3580774","url":null,"abstract":"Without a nuanced understanding of users' perspectives and contexts, text messaging tools for supporting psychological wellbeing risk delivering interventions that are mismatched to users' dynamic needs. We investigated the contextual factors that influence young adults' day-to-day experiences when interacting with such tools. Through interviews and focus group discussions with 36 participants, we identified that people's daily schedules and affective states were dominant factors that shape their messaging preferences. We developed two messaging dialogues centered around these factors, which we deployed to 42 participants to test and extend our initial understanding of users' needs. Across both studies, participants provided diverse opinions of how they could be best supported by messages, particularly around when to engage users in more passive versus active ways. They also proposed ways of adjusting message length and content during periods of low mood. Our findings provide design implications and opportunities for context-aware mental health management systems.","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2023 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9876105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults. 满足用户需求：以用户为中心设计自动短信工具，为年轻人的心理健康提供支持。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2022-04-01 Epub Date: 2022-04-29 DOI: 10.1145/3491102.3502046

Rachel Kornfield, Jonah Meyerhoff, Hannah Studd, Ananya Bhattacharjee, Joseph J Williams, Madhu Reddy, David C Mohr

{"title":"Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults.","authors":"Rachel Kornfield, Jonah Meyerhoff, Hannah Studd, Ananya Bhattacharjee, Joseph J Williams, Madhu Reddy, David C Mohr","doi":"10.1145/3491102.3502046","DOIUrl":"10.1145/3491102.3502046","url":null,"abstract":"Young adults have high rates of mental health conditions, but most do not want or cannot access formal treatment. We therefore recruited young adults with depression or anxiety symptoms to co-design a digital tool for self-managing their mental health concerns. Through study activities-consisting of an online discussion group and a series of design workshops-participants highlighted the importance of easy-to-use digital tools that allow them to exercise independence in their self-management. They described ways that an automated messaging tool might benefit them by: facilitating experimentation with diverse concepts and experiences; allowing variable depth of engagement based on preferences, availability, and mood; and collecting feedback to personalize the tool. While participants wanted to feel supported by an automated tool, they cautioned against incorporating an overtly human-like motivational tone. We discuss ways to apply these findings to improve the design and dissemination of digital mental health tools for young adults.","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098159/pdf/nihms-1801373.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9620362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs. 设计灵活的纵向方案:支持临床医生计划停用精神科药物。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2022-04-01 Epub Date: 2022-04-29 DOI: 10.1145/3491102.3502206

Eunkyung Jo, Myeonghan Ryu, Georgia Kenderova, Samuel So, Bryan Shapiro, Alexandra Papoutsaki, Daniel A Epstein

{"title":"Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs.","authors":"Eunkyung Jo, Myeonghan Ryu, Georgia Kenderova, Samuel So, Bryan Shapiro, Alexandra Papoutsaki, Daniel A Epstein","doi":"10.1145/3491102.3502206","DOIUrl":"https://doi.org/10.1145/3491102.3502206","url":null,"abstract":"Clinical decision support tools have typically focused on one-time support for diagnosis or prognosis, but have the ability to support providers in longitudinal planning of patient care regimens amidst infrastructural challenges. We explore an opportunity for technology support for discontinuing antidepressants, where clinical guidelines increasingly recommend gradual discontinuation over abruptly stopping to avoid withdrawal symptoms, but providers have varying levels of experience and diverse strategies for supporting patients through discontinuation. We conducted two studies with 12 providers, identifying providers' needs in developing discontinuation plans and deriving design guidelines. We then iteratively designed and implemented AT Planner, instantiating the guidelines by projecting taper schedules and providing flexibility for adjustment. Provider feedback on AT Planner highlighted that discontinuation plans required balancing interpersonal and infrastructural constraints and surfaced the need for different technological support based on clinical experience. We discuss the benefits and challenges of incorporating flexibility and advice into clinical planning tools.","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247721/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40563608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Innovating Novel Online Social Spaces with Diverse Middle School Girls: Ideation and Collaboration in a Synchronous Virtual Design Workshop. 与多元化的初中女生一起创新新颖的在线社交空间：同步虚拟设计工作坊中的构思与合作。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2022-04-01 Epub Date: 2022-04-29 DOI: 10.1145/3491102.3517576

Catherine Grevet Delcourt, Linda Charmaraman, Sidrah Durrani, Quan Gu, Le Fan Xiao

{"title":"Innovating Novel Online Social Spaces with Diverse Middle School Girls: Ideation and Collaboration in a Synchronous Virtual Design Workshop.","authors":"Catherine Grevet Delcourt, Linda Charmaraman, Sidrah Durrani, Quan Gu, Le Fan Xiao","doi":"10.1145/3491102.3517576","DOIUrl":"10.1145/3491102.3517576","url":null,"abstract":"Leveraging social media as a domain of high relevance in the lives of most young adolescents, we led a synchronous virtual design workshop with 17 ethnically diverse, and geographically-dispersed middle school girls (aged 11-14) to co-create novel ICT experiences. Our participatory workshop centered on social media innovation, collaboration, and computational design. We present the culminating design ideas of novel online social spaces, focused on positive experiences for adolescent girls, produced in small-groups, and a thematic analysis of the idea generation and collaboration processes. We reflect on the strengths of utilizing social media as a domain for computing exploration with diverse adolescent girls, the role of facilitators in a synchronous virtual design workshop, and the technical infrastructure that can enable age-appropriate scaffolding for active participation and use of participatory design principles embedded within educational workshops with this population.","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9833101/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9098333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Barriers to Online Dementia Information and Mitigation. 在线痴呆症信息和缓解的障碍。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2022-04-01 Epub Date: 2022-04-29 DOI: 10.1145/3491102.3517554

Emma Dixon, Jesse Anderson, Diana Blackwelder, Mary Radnofsky, Amanda Lazar

引用次数: 8

Examining AI Methods for Micro-Coaching Dialogs. 研究微教练对话的AI方法。

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference Pub Date : 2022-04-01 Epub Date: 2022-04-29 DOI: 10.1145/3491102.3501886

Elliot G Mitchell, Noémie Elhadad, Lena Mamykina

{"title":"Examining AI Methods for Micro-Coaching Dialogs.","authors":"Elliot G Mitchell, Noémie Elhadad, Lena Mamykina","doi":"10.1145/3491102.3501886","DOIUrl":"https://doi.org/10.1145/3491102.3501886","url":null,"abstract":"Conversational interaction, for example through chatbots, is well-suited to enable automated health coaching tools to support self-management and prevention of chronic diseases. However, chatbots in health are predominantly scripted or rule-based, which can result in a stagnant and repetitive user experience in contrast with more dynamic, data-driven chatbots in other domains. Consequently, little is known about the tradeoffs of pursuing data-driven approaches for health chatbots. We examined multiple artificial intelligence (AI) approaches to enable micro-coaching dialogs in nutrition - brief coaching conversations related to specific meals, to support achievement of nutrition goals - and compared, reinforcement learning (RL), rule-based, and scripted approaches for dialog management. While the data-driven RL chatbot succeeded in shorter, more efficient dialogs, surprisingly the simplest, scripted chatbot was rated as higher quality, despite not fulfilling its task as consistently. These results highlight tensions between scripted and more complex, data-driven approaches for chatbots in health.","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707294/pdf/nihms-1847405.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40456495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5