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

{"title":"<i>SCOPE</i>: 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":"<p><p>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 <i>SCOPE</i>, a platform for technology-enhanced collaborative care combining a patient-facing mobile app with a provider-facing registry. We examine <i>SCOPE</i> through a total of 45 interviews with patients and providers conducted in <i>SCOPE</i>'s 15 months of design and development and 24 months of <i>SCOPE</i>'s deployment for actual care in 6 cancer clinics. We find that: (1) <i>SCOPE</i> supported patient engagement in its underlying collaborative care and behavioral activation interventions, (2) patient-generated data in <i>SCOPE</i> improved patient-provider collaboration between and within in-person sessions, (3) <i>SCOPE</i> supported providers in delivering care and improved care team collaboration, (4) experience with <i>SCOPE</i> created evolving expectations for collaboration around data, and (5) <i>SCOPE</i>'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.</p>","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}

{"title":"Eye-Tracking as a Lens into Expertise Development in Visual Search.","authors":"Megan H Papesh, Michael C Hout, Giovanna C Del Sordo, Bryan L White, Ashley P Mathis","doi":"10.1145/3725837","DOIUrl":"10.1145/3725837","url":null,"abstract":"<p><p>Visual search professionals frequently examine complex images in which they must locate and identify anomalies (e.g., tumors or lesions in medical images, hostile territories in maps) indicating the presence of important information. This is a difficult perceptual and cognitive challenge that requires years of experience even beyond domain-specific training. We developed a laboratory analogue of this task to examine how people development expertise over time and the changes that occur in visual scanning behaviors as this expertise accrues. Participants' eyes were tracked as they searched for subtle anomalies during and after different forms of training. Anomaly detection improved with experience and this improvement occurred more quickly in perceptual training conditions. Eye movement analyses revealed that participants' expertise conferred benefits in both scanning and recognition times. These results suggest that simple perceptual training methods can affect both cognitive and oculomotor components of visual search.</p>","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 3","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12407182/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145001490","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}

{"title":"Addressing Teamwork Delays during Life-Saving Interventions through an Activity Theory-Informed Analysis.","authors":"Katherine Ann Zellner, Aleksandra Sarcevic, Maja Barnouw, Megan A Krentsa, Travis M Sullivan, Mary Suhyun Kim, Randall Burd","doi":"10.1145/3701195","DOIUrl":"https://doi.org/10.1145/3701195","url":null,"abstract":"<p><p>Hemorrhage, or severe blood loss due to injury, is a leading cause of preventable deaths after injury. This study uses and extends activity theory to understand the dynamics of team-based hemorrhage control during trauma resuscitation and to explore potential computerized mechanisms to support this time- and safety-critical process. We reviewed videos of 25 resuscitation cases and analyzed hemorrhage control activities using nine activity theory prompts, including a new prompt-speech intention-a critical but underexplored dimension of teamwork in prior activity theory analyses. Through this process, we identified the most common delay-causing activities and developed routine and non-routine activity models for each. A comparison of these models showed that variations from the routine models emerged due to changes in the division of labor, instruments, community, and speech intentions. We contribute to research on designing socio-technical systems by (1) identifying needs and opportunities for computerized support that address delays in complex medical teamwork and (2) examining how an intervention changes an activity model. We also show how adding detailed speech data aids in identifying contradictions between elements in an activity model.</p>","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12380369/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972718","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}

{"title":"Menopause Legacies: Designing to Record and Share Experiences of Menopause Across Generations.","authors":"Shaan Chopra, Lisa Orii, Katherine Juarez, Nussara Tieanklin, James Fogarty, Sean A Munson","doi":"10.1145/3686975","DOIUrl":"10.1145/3686975","url":null,"abstract":"<p><p>Menopause is often overlooked or medicalized, consequently devaluing individual experiences and failing to support individuals experiencing this life event. Family dynamics, death, and taboo further mean that individuals often miss out on information that could help them contextualize their experiences. We examine participant experiences with menopause and explore designs of digital and non-digital legacies for sharing menopause experiences across generations. We conducted semi-structured interviews and design sessions with 17 participants who experienced or are experiencing menopause. We report participant information needs and sense-making practices, including what personalized information participants wish to pass down and preferred formats for intergenerational sharing. Findings highlight the potential of using storytelling and life-logging to create \"holistic\" memories of the menopause journey, to support self-reflection, and for using legacies to initiate conversations about marginalized health experiences. We identify future design and research opportunities for the HCI and CSCW communities to support intergenerational sharing of non-medicalized and stigmatized health experiences.</p>","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"8 CSCW2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11759488/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143047937","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}

{"title":"Limitations of Using Mobile Phones for Managing Type 1 Diabetes (T1D) Among Youth in Low and Middle-Income Countries: Implications for mHealth.","authors":"Susan Wyche, Jennifer Olson, Mary Karanu, Eric Omondi, Mike Olonyo","doi":"10.1145/3687045","DOIUrl":"10.1145/3687045","url":null,"abstract":"<p><p>The prevalence of Type 1 Diabetes (T1D) among youth is increasing worldwide. Mobile phones, particularly mHealth applications, can potentially improve youth's management of this chronic condition. However, the design of these services rarely accounts for users in low and middle-income countries (LMICs). In this paper, we investigate factors that influence the use of mobile phones for managing T1D among youth in rural and urban Kenya. Our analysis draws from 58 interviews conducted with T1D youth (between the ages of 11 and 18 years old), their caregivers, and other significant stakeholders, including doctors and schoolteachers. Our findings draw attention to a significant mismatch between the mobile phone features prioritized in mHealth apps and participants' usage practices. We discuss the practical implications of these findings for mHealth design and user research.</p>","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"8 CSCW2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780754/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143068558","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}

{"title":"Race and Privacy in Broadcast Police Communications.","authors":"Pranav Narayanan Venkit, Christopher Graziul, Miranda Ardith Goodman, Samantha Nicole Kenny, Shomir Wilson","doi":"10.1145/3686921","DOIUrl":"https://doi.org/10.1145/3686921","url":null,"abstract":"<p><p>Radios are essential for the operations of modern police departments, and they function as both a collaborative communication technology and a sociotechnical system. However, little prior research has examined their usage or their connections to individual privacy and the role of race in policing, two growing topics of concern in the US. As a case study, we examine the Chicago Police Department's (CPD's) use of broadcast police communications (BPC) to coordinate the activity of law enforcement officers (LEOs) in the city. From a recently assembled archive of 80, 775 hours of BPC associated with CPD operations, we analyze human-generated text transcripts of radio transmissions broadcast 9:00 AM to 5:00 PM on August 10th, 2018 in one majority Black, one majority White, and one majority Hispanic area of the city (24 hours of audio) to explore four research questions: (1) Do BPC reflect reported racial disparities in policing? (2) How and when is gender, race/ethnicity, and age mentioned in BPC? (3) To what extent do BPC include sensitive information, and who is put at most risk by this practice? (4) To what extent can large language models (LLMs) heighten this risk? We explore the vocabulary and speech acts used by police in BPC, comparing mentions of personal characteristics to local demographics, the personal information shared over BPC, and the privacy concerns that it poses. Analysis indicates (a) policing professionals in the city of Chicago exhibit disproportionate attention to Black members of the public regardless of context, (b) sociodemographic characteristics like gender, race/ethnicity, and age are primarily mentioned in BPC about event information, and (c) disproportionate attention introduces disproportionate privacy risks for Black members of the public. This study shows BPC can provide a novel window into disproportionate attention (i.e., via radio communications) by law enforcement officers to specific racial groups, leading to increased privacy vulnerability for those groups, particularly Black males.</p>","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"8 CSCW2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12369999/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972738","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}

{"title":"Improving Collaborative Management of Multiple Mental and Physical Health Conditions: A Qualitative Inquiry into Designing Technology-Enabled Services for Eliciting Patients' Values.","authors":"William Wibowo Liem, Emily G Lattie, Bayley J Taple, Caitlin A Stamatis, Jacob Gordon, Rachel Kornfield, Andrew B L Berry","doi":"10.1145/3687000","DOIUrl":"10.1145/3687000","url":null,"abstract":"<p><p>People with multiple chronic conditions (MCC) face challenges planning health care collaboratively with primary care clinicians, particularly when their priorities conflict. These challenges intensify with symptoms of anxiety or depression. Elicitation of patients' values is promoted as a means to aligning patient and clinician priorities in primary care, and as a component of psychotherapy for anxiety and depression. But, these approaches remain siloed. We conducted a qualitative interview study to understand patients' preferences for Technology Enabled Services (TESs) to coordinate values elicitation across primary and mental health care settings. Many participants preferred face-to-face elicitation by a mental health clinician; some preferred elicitation via telehealth and some preferred self-directed elicitation. Participants' preferences were influenced by: 1) how they perceived the rationale and benefits of values elicitation; 2) how they perceived the training and credibility of people facilitating elicitation; and 3) how they perceived their own capacity to engage in values elicitation. Participants also shared numerous concerns about values elicitation that warrant critical examination of TESs to support it.</p>","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"8 CSCW2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737607/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143013316","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}

{"title":"User Interface Evaluation Through Implicit-Association Tests","authors":"A. Cockburn, Declan Hills, Zhe Chen, C. Gutwin","doi":"10.1145/3664636","DOIUrl":"https://doi.org/10.1145/3664636","url":null,"abstract":"The implicit-association test (IAT) is a method for measuring subconscious associations between concepts in memory. It is widely used in social psychology research for assessing associations that people may be unable or unwilling to articulate, including those relating to race, gender, self harm, and risk-taking behaviour. We describe the motivation for adapting the IAT to user interface evaluation, including its potential to support rapid A/B testing that is amenable to online crowd-source dissemination, while also potentially reducing the validity risks caused by biases such as the good subject effect. We present a method (the UI-IAT) for conducting implicit association tests for A/B user interface evaluation, and we present results of two experiments demonstrating that, although the method can successfully discriminate between 'good' and 'bad' interfaces, its sensitivity is low. We discuss implications for practical use of the UI-IAT and for further work.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"6 5","pages":"1 - 23"},"PeriodicalIF":0.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335329","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}

{"title":"Extending Jupyter with Multi-Paradigm Editors","authors":"Thomas Weber, Janina Ehe, Sven Mayer","doi":"10.1145/3660247","DOIUrl":"https://doi.org/10.1145/3660247","url":null,"abstract":"Computational notebooks like the Jupyter programming environment have been popular, particularly for developing data-driven applications. One of its main benefits is that it easily supports different programming languages with exchangeable kernels. Thus, it makes the user interface of computational notebooks broadly accessible. While their literate programming paradigm has advantages, we can use this infrastructure to make other paradigms similarly easily and broadly accessible to developers. In our work, we demonstrate how the Jupyter infrastructure can be utilized with different interfaces for different programming paradigms, enabling even greater flexibility for programmers and making it easier for them to adopt different paradigms when they are most suitable. We present a prototype that adds graphical programming and a multi-paradigm editor on top of the Jupyter system. The multi-paradigm editor seamlessly combines the added graphical programming with the familiar notebook interface side-by-side, which can further help developers switch between programming paradigms when desired. A subsequent user evaluation demonstrates the benefits not only of alternate interfaces and paradigms but also of the flexibility of seamlessly switching between them. Finally, we discuss some of the challenges in implementing these systems and how these can enhance the software development process in the future.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 26","pages":"1 - 22"},"PeriodicalIF":0.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335208","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}

{"title":"End-User Development for Human-Robot Interaction: Results and Trends in an Emerging Field","authors":"Giacomo Vaiani, Fabio Paternò","doi":"10.1145/3661146","DOIUrl":"https://doi.org/10.1145/3661146","url":null,"abstract":"This paper presents a comprehensive survey on End-User Development for Human-Robot Interaction, examining existing literature to validate findings and identify unexplored areas for future research. It explores the importance of End-User Development in allowing non-expert users to customise robots, covering methodologies, evaluation methods, robot types, and application contexts. The findings reveal various End-User Development approaches, evaluation practices, and robots application domains, leading to discussions on the untapped potential of End-User Development in enhancing Human-Robot Interaction across diverse fields. The document aims to provide groundwork for future studies, highlighting the necessity for new evaluation standards and greater customisation in robotic technologies.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"11 1","pages":"1 - 40"},"PeriodicalIF":0.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335313","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}