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

{"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":"10.1145/3711039","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 2","pages":"CSCW141"},"PeriodicalIF":4.9,"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}

{"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":"<p><p>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.</p>","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 2","pages":""},"PeriodicalIF":4.9,"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}

{"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":4.9,"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":"Understanding the Role of Community Training Centers on Skill-Based Entrepreneurial Training Among Women in Kashmir","authors":"Asra Sakeen Wani, Pushpendra Singh","doi":"10.1145/3701215","DOIUrl":"https://doi.org/10.1145/3701215","url":null,"abstract":"Despite global efforts for women's inclusion in the workforce, challenges persist, especially in conflict-affected areas where socio-political, economic, and cultural norms further impede their economic participation. We situate our work in Kashmir, India, a region with a long history of socio-political unrest. We conducted 15 semi-structured interviews with women from a non-government organization operating community training centers in Kashmir. These training centers have been established, focusing on skill development to encourage women to venture into entrepreneurship. Our findings reveal socio-political and cultural factors influence women's struggles. We emphasize the vital role of these centers and the role of technology in these centers. Finally, we offer socio-technical design recommendations to support women's skill-building and entrepreneurship.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"9 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147898511","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":"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":"Challenges and Opportunities for Tool Adoption in Industrial UX Research Collaborations","authors":"Daye Kang, Jeffrey M. Rzeszotarski","doi":"10.1145/3686982","DOIUrl":"https://doi.org/10.1145/3686982","url":null,"abstract":"UX research practitioners analyze qualitative data to comprehend users' needs and synthesize design implications for software systems. Collaborating with multiple stakeholders is inevitable for these professionals and adds additional pressure to their already laborious data analysis tasks. In this paper, we investigate how these practitioners' multi-stakeholder collaboration affects their data analysis practices. Specifically, we investigate the challenges qualitative UX research (QUXR) practitioners face, limitations of the current qualitative data analysis (QDA) support tools they use, and design implications for future QDA tools to address the limitations. Through semi-structured interviews combined with diagramming activities with thirteen industry QUXR practitioners, we have revealed that collaboration becomes a bigger challenge than data analysis and that it often leads to (1) preferring simple tools despite the QDA specialized tools' beneficial features and (2) wanting to triangulate their work to convince stakeholders. Finally, we have synthesized these results and suggest design implications for QDA support tools.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"8 CSCW2","pages":"1-27"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://dl.acm.org/doi/pdf/10.1145/3686982","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147889813","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":"Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper","authors":"Samuel Goree, Gabriel Appleby, David Crandall, Norman Makoto Su","doi":"10.1145/3686955","DOIUrl":"https://doi.org/10.1145/3686955","url":null,"abstract":"Research papers, in addition to textual documents, are a designed interface through which researchers communicate. Recently, rapid growth has transformed that interface in many fields of computing. In this work, we examine the effects of this growth from a media archaeology perspective, through the changes to figures and tables in research papers. Specifically, we study these changes in computer vision over the past decade, as the deep learning revolution has driven unprecedented growth in the discipline. We ground our investigation through interviews with veteran researchers spanning computer vision, graphics, and visualization. Our analysis focuses on the research attention economy: how research paper elements contribute towards advertising, measuring, and disseminating an increasingly commodified \"contribution.\" Through this work, we seek to motivate future discussion surrounding the design of both the research paper itself as well as the larger sociotechnical research publishing system, including tools for finding, reading, and writing research papers.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"8 CSCW2","pages":"1-25"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://dl.acm.org/doi/pdf/10.1145/3686955","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147911541","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":4.9,"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":"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}