Proceedings of the ACM on Human-Computer Interaction最新文献

To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events. 推荐还是不推荐：为时间关键型医疗事件设计和评估人工智能支持的决策支持。

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-11-01 Epub Date: 2025-10-16 DOI: 10.1145/3757512

Angela Mastrianni, Mary Suhyun Kim, Travis M Sullivan, Genevieve Jayne Sippel, Randall S Burd, Krzysztof Z Gajos, Aleksandra Sarcevic

{"title":"To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events.","authors":"Angela Mastrianni, Mary Suhyun Kim, Travis M Sullivan, Genevieve Jayne Sippel, Randall S Burd, Krzysztof Z Gajos, Aleksandra Sarcevic","doi":"10.1145/3757512","DOIUrl":"10.1145/3757512","url":null,"abstract":"AI-enabled decision-support systems aim to help medical providers rapidly make decisions with limited information during medical emergencies. A critical challenge in developing these systems is supporting providers in interpreting the system output to make optimal treatment decisions. In this study, we designed and evaluated an AI-enabled decision-support system to aid providers in treating patients with traumatic injuries. We first conducted user research with physicians to identify and design information types and AI outputs for a decision-support display. We then conducted an online experiment with 35 medical providers from six health systems to evaluate two human-AI interaction strategies: (1) AI information synthesis and (2) AI information and recommendations. We found that providers were more likely to make correct decisions when AI information and recommendations were provided compared to receiving no AI support. We also identified two socio-technical barriers to providing AI recommendations during time-critical medical events: (1) an accuracy-time trade-off in providing recommendations and (2) polarizing perceptions of recommendations between providers. We discuss three implications for developing AI-enabled decision support used in time-critical events, contributing to the limited research on human-AI interaction in this context.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12536412/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145348974","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

"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner. “芒果芒果，如何让生菜在没有旋转器的情况下变干？”：探索用户使用基于法学硕士的对话助手对烹饪伙伴的看法。

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-11-01 Epub Date: 2025-10-16 DOI: 10.1145/3757442

Szeyi Chan, Jiachen Li, Bingsheng Yao, Amama Mahmood, Chien-Ming Huang, Holly Jimison, Elizabeth D Mynatt, Dakuo Wang

{"title":"\"Mango Mango, How to Let The Lettuce Dry Without A Spinner?\": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner.","authors":"Szeyi Chan, Jiachen Li, Bingsheng Yao, Amama Mahmood, Chien-Ming Huang, Holly Jimison, Elizabeth D Mynatt, Dakuo Wang","doi":"10.1145/3757442","DOIUrl":"https://doi.org/10.1145/3757442","url":null,"abstract":"The rapid advancement of Large Language Models (LLMs) has created numerous potentials for integration with conversational assistants (CAs) assisting people in their daily tasks, particularly due to their extensive flexibility. However, users' real-world experiences interacting with these assistants remain unexplored. In this research, we chose cooking, a complex daily task, as a scenario to explore people's successful and unsatisfactory experiences while receiving assistance from an LLM-based CA, Mango Mango. We discovered that participants value the system's ability to offer customized instructions based on context, provide extensive information beyond the recipe, and assist them in dynamic task planning. However, users expect the system to be more adaptive to oral conversation and provide more suggestive responses to keep them actively involved. Recognizing that users began treating our LLM-CA as a personal assistant or even a partner rather than just a recipe-reading tool, we propose five design considerations for future development.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13099075/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784020","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

A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health. 公共卫生中采用大型语言模型的风险分类和反思工具。

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-11-01 Epub Date: 2025-10-16 DOI: 10.1145/3757544

Jiawei Zhou, Amy Z Chen, Darshi Shah, Laura M Schwab-Reese, Munmun DE Choudhury

{"title":"A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health.","authors":"Jiawei Zhou, Amy Z Chen, Darshi Shah, Laura M Schwab-Reese, Munmun DE Choudhury","doi":"10.1145/3757544","DOIUrl":"10.1145/3757544","url":null,"abstract":"Recent breakthroughs in large language models (LLMs) have generated both interest and concern about their potential adoption as information sources or communication tools across different domains. In public health, where stakes are high and impacts extend across diverse populations, adopting LLMs poses unique challenges that require thorough evaluation. However, structured approaches for assessing potential risks in public health remain under-explored. To address this gap, we conducted focus groups with public health professionals and individuals with lived experience to unpack their concerns, situated across three distinct and critical public health issues that demand high-quality information: infectious disease prevention (vaccines), chronic and wellbeing care (opioid use disorder), and community health and safety (intimate partner violence). We synthesize participants' perspectives into a risk taxonomy, identifying and contextualizing the potential harms LLMs may introduce when positioned alongside traditional health communication. This taxonomy highlights four dimensions of risk to individuals, human-centered care, information ecosystems, and technology accountability. For each dimension, we unpack specific risks and offer example reflection questions to help practitioners adopt a risk-reflexive approach. By summarizing distinctive LLM characteristics and linking them to identified risks, we discuss the need to revisit prior mental models of information behaviors and complement evaluations with external validity and domain expertise through lived experience and real-world practices. Together, this work contributes a shared vocabulary and reflection tool for people in both computing and public health to collaboratively reflect and assess risks in deciding when to employ LLM capabilities (or not) and how to mitigate harm.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12916142/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146228858","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

Can you see what I see? Examining the Impact of Smart Glasses on Communication Dynamics in Distributed Emergency Medical Teams. 你能看到我看到的吗？研究智能眼镜对分布式应急医疗队通信动态的影响。

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-11-01 Epub Date: 2025-10-16 DOI: 10.1145/3757565

Zhan Zhang, Enze Bai, Yincao Xu, Kathleen Adelgais, Mustafa Ozkaynak

{"title":"Can you see what I see? Examining the Impact of Smart Glasses on Communication Dynamics in Distributed Emergency Medical Teams.","authors":"Zhan Zhang, Enze Bai, Yincao Xu, Kathleen Adelgais, Mustafa Ozkaynak","doi":"10.1145/3757565","DOIUrl":"10.1145/3757565","url":null,"abstract":"Effective communication is critical for emergency medical teams, especially when distributed providers must collaborate under high-stakes conditions to deliver timely, life-saving care. Traditional communication tools such as radios and phones, while commonly used, are limited to audio-only exchanges-often resulting in misunderstandings, communication breakdowns, and delays in treatment. This study explores the use of smart glasses as an alternative communication tool in prehospital emergency care and examines how their use influences communication dynamics between prehospital providers (e.g., paramedics) and remote emergency physicians, compared to traditional methods (radio and phone). Through simulation-based testing, we found that smart glasses reduced communication breakdowns and facilitated more in-depth, context-rich discussions about patient care. Both EMS providers and physicians viewed the smart glass technology as a promising solution for enabling multimodal communication (e.g., visual, auditory, gestures, text). However, we also identified several challenges associated with its use in near-realistic simulation environments, including the need for overhearing capabilities, issues with visual alignment and motion-induced discomfort, extended interaction times, and concerns around autonomy and privacy. We conclude with a discussion of the design and practical implications of these findings.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 7","pages":"CSCW384"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13001593/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500064","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

Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness. 改善行为改变干预的大型语言模型代理：在数字正念中的应用。

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-11-01 Epub Date: 2025-10-16 DOI: 10.1145/3757619

Harsh Kumar, Suhyeon Yoo, Angela Zavaleta Bernuy, Jiakai Shi, Huayin Luo, Joseph Jay Williams, Anastasia Kuzminykh, Ashton Anderson, Rachel Kornfield

{"title":"Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness.","authors":"Harsh Kumar, Suhyeon Yoo, Angela Zavaleta Bernuy, Jiakai Shi, Huayin Luo, Joseph Jay Williams, Anastasia Kuzminykh, Ashton Anderson, Rachel Kornfield","doi":"10.1145/3757619","DOIUrl":"10.1145/3757619","url":null,"abstract":"Although engagement in self-directed wellness exercises typically declines over time, integrating social support such as coaching can sustain it. However, traditional forms of support are often inaccessible due to the high costs and complex coordination. Large Language Models (LLMs) show promise in providing human-like dialogues that could emulate social support. Yet, in-depth, in situ investigations of LLMs to support behavior change remain underexplored. We conducted two randomized experiments to assess the impact of LLM agents on user engagement with mindfulness exercises. First, a single-session study, involved 502 crowdworkers; second, a three-week study, included 54 participants. We explored two types of LLM agents: one providing information and another facilitating self-reflection. Both agents enhanced users' intentions to practice mindfulness. However, only the information-providing LLM agent, featuring a friendly persona, significantly improved engagement with the exercises. Our findings suggest that specific LLM agents may bridge the social support gap in digital health interventions.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12945337/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147327558","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

Bridging Ontologies of Neurological Conditions: Towards Patient-centered Data Practices in Digital Phenotyping Research and Design. 神经系统疾病的桥梁本体：在数字表型研究和设计中以患者为中心的数据实践。

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-11-01 Epub Date: 2025-10-16 DOI: 10.1145/3757562

Jianna So, Faye X Yang, Krzysztof Z Gajos, Naveena Karusala, Anoopum S Gupta

{"title":"Bridging Ontologies of Neurological Conditions: Towards Patient-centered Data Practices in Digital Phenotyping Research and Design.","authors":"Jianna So, Faye X Yang, Krzysztof Z Gajos, Naveena Karusala, Anoopum S Gupta","doi":"10.1145/3757562","DOIUrl":"10.1145/3757562","url":null,"abstract":"Amidst the increasing datafication of healthcare, deep digital phenotyping is being explored in clinical research to gather comprehensive data that can improve understanding of neurological conditions. However, participants currently do not have access to this data due to researchers' apprehension around whether such data is interpretable or useful. This study focuses on patient perspectives on the potential of deep digital phenotyping data to benefit people with neurodegenerative diseases, such as ataxias, Parkinson's disease, and multiple system atrophy. We present an interview study (n=12) to understand how people with these conditions currently track their symptoms and how they envision interacting with their deep digital phenotyping data. We describe how participants envision the utility of this deep digital phenotyping data in relation to multiple stages of disease and stakeholders, especially its potential to bridge different and sometimes conflicting understandings of their condition. Looking towards a future in which patients have increased agency over their data and can use it to inform their care, we contribute implications for shaping patient-driven clinical research practices and deep digital phenotyping tools that serve a multiplicity of patient needs.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12536435/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145348987","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

"No, not that voice again!": Engaging Older Adults in Design of Anthropomorphic Voice Assistants. “不，不要再说那个声音！”老年人参与拟人化语音助手的设计。

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-05-01 Epub Date: 2025-05-02 DOI: 10.1145/3711039

Alisha Pradhan, Sheena Erete, Shaan Chopra, Pooja Upadhyay, Oluwaseun Sule, Amanda Lazar

{"title":"\"No, not that voice again!\": Engaging Older Adults in Design of Anthropomorphic Voice Assistants.","authors":"Alisha Pradhan, Sheena Erete, Shaan Chopra, Pooja Upadhyay, Oluwaseun Sule, Amanda Lazar","doi":"10.1145/3711039","DOIUrl":"https://doi.org/10.1145/3711039","url":null,"abstract":"Conversational voice assistants are often imbued with personality and human-like characteristics (e.g., gender). While researchers have begun to examine and design for the downstream societal impacts of voice assistants encoding characteristics such as gender, we know little about other human-like characteristics such as age that are encoded in an artificial, yet, anthropomorphic voice. As older adults continue to adopt voice assistants, we brought older adults into an activity to customize human-like characteristics for their voice assistant. Our findings reveal the different stereotypes and assumptions individuals associated with voice assistant characteristics (e.g., age, gender, race). We also describe individuals' motivations behind customizing or not customizing these characteristics. We discuss how biases get encoded through our design process, marginalizing older adults and other non-dominant user groups and call for a need to examine the systemic, yet unspoken, power structures encoded in anthropomorphic technologies.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 2","pages":"CSCW141"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13101855/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147783827","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

Exploring Design Recommendations for Promoting Brain Health, ADRD Health Literacy, and Participation in clinical ADRD trials in Older African American/Black Adults. 探索促进大脑健康、ADRD健康素养和参与老年非裔美国人/黑人ADRD临床试验的设计建议

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-05-01 Epub Date: 2025-05-02 DOI: 10.1145/3710973

Alec Andrew Theisz, Cristina Bosco, John Osorio Torres, Fereshtehossadat Shojaei, Jenny Lin, Bianca Cureton, Anna K Himes, Nenette M Jessup, Priscilla A Barnes, Yvonne Lu, Hugh C Hendrie, Carl V Hill, Patrick C Shih

{"title":"Exploring Design Recommendations for Promoting Brain Health, ADRD Health Literacy, and Participation in clinical ADRD trials in Older African American/Black Adults.","authors":"Alec Andrew Theisz, Cristina Bosco, John Osorio Torres, Fereshtehossadat Shojaei, Jenny Lin, Bianca Cureton, Anna K Himes, Nenette M Jessup, Priscilla A Barnes, Yvonne Lu, Hugh C Hendrie, Carl V Hill, Patrick C Shih","doi":"10.1145/3710973","DOIUrl":"10.1145/3710973","url":null,"abstract":"Alzheimer's Disease and related dementia (ADRD) is prevalent in one in nine individuals age 65 or above, and it has a 65% higher risk of incidence for African American/Black adults. With an aging population in the United States and persisting healthcare inequities for African American/Black adults, our research aims to explore design requirements of a digital health platform for delivering culturally relevant content that informs African Americans/Black adults (45 years and older) about brain health and participation in clinical ADRD studies. We conducted seven focus groups (n = 44) to collect information on facilitators and barriers to brain health literacy and participation in clinical ADRD research, followed by seven participatory design workshops (n = 44) to collaboratively develop solutions for improving brain health literacy and participation in clinical ADRD research. Our findings provide insights into incorporating community into accessible, technological design for reducing brain health disparities for African American/Black adults.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12803480/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145991103","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

SCOPE: Examining Technology-Enhanced Collaborative Care Management of Depression in the Cancer Setting. 范围：检查癌症环境中抑郁症的技术增强协作护理管理。

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-05-01 Epub Date: 2025-05-02 DOI: 10.1145/3711060

Anant Mittal, Tae Jones, Ravi Karkar, Jina Suh, Spencer Williams, Yihao Zheng, Lydia M Andris, Nicole Bates, Amy M Bauer, Ty W Lostutter, Jesse R Fann, James Fogarty, Gary Hsieh

{"title":"SCOPE: Examining Technology-Enhanced Collaborative Care Management of Depression in the Cancer Setting.","authors":"Anant Mittal, Tae Jones, Ravi Karkar, Jina Suh, Spencer Williams, Yihao Zheng, Lydia M Andris, Nicole Bates, Amy M Bauer, Ty W Lostutter, Jesse R Fann, James Fogarty, Gary Hsieh","doi":"10.1145/3711060","DOIUrl":"10.1145/3711060","url":null,"abstract":"Collaborative care management is an evidence-based approach to integrated psychosocial care for patients with comorbid cancer and depression. Prior work highlights challenges in patient-provider collaboration in navigating parallel cancer care and psychosocial care journeys of these patients. We design and deploy SCOPE, a platform for technology-enhanced collaborative care combining a patient-facing mobile app with a provider-facing registry. We examine SCOPE through a total of 45 interviews with patients and providers conducted in SCOPE's 15 months of design and development and 24 months of SCOPE's deployment for actual care in 6 cancer clinics. We find that: (1) SCOPE supported patient engagement in its underlying collaborative care and behavioral activation interventions, (2) patient-generated data in SCOPE improved patient-provider collaboration between and within in-person sessions, (3) SCOPE supported providers in delivering care and improved care team collaboration, (4) experience with SCOPE created evolving expectations for collaboration around data, and (5) SCOPE's deployment in actual care surfaced important implementation barriers. We discuss the implications of our findings in terms of designing for engagement with behavioral health interventions, negotiating patient data sharing and provider responsiveness, supporting personalized self-tracking goals in evidence-based interventions, exploring the role of digital health navigators in technology-enhanced care, and the need for flexibility in aligning technology-supported interventions to patient needs.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12165027/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303045","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

Eye-Tracking as a Lens into Expertise Development in Visual Search. 眼动追踪作为视觉搜索技术发展的镜头。

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2025-05-01 Epub Date: 2025-05-22 DOI: 10.1145/3725837

Megan H Papesh, Michael C Hout, Giovanna C Del Sordo, Bryan L White, Ashley P Mathis

引用次数: 0