Extended abstracts on Human factors in computing systems. CHI Conference最新文献

ViDscribe: Multimodal AI for Customizing Audio Description and Question Answering in Online Videos. ViDscribe：用于自定义在线视频音频描述和问题回答的多模式AI。

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2026-04-01 Epub Date: 2026-04-13 DOI: 10.1145/3772363.3798744

Maryam S Cheema, Pooyan Fazli, Sina Elahimanesh, Hasti Seifi

引用次数: 0

More Older Adults Try Patient Portals in Recent Years, but Many Don't Continue: A Meta-Analysis. 近年来，越来越多的老年人尝试患者门户网站，但许多人没有继续：一项荟萃分析。

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2026-01-01 Epub Date: 2026-04-13 DOI: 10.1145/3772363.3798366

Nina Sakhnini, Debaleena Chattopadhyay

引用次数: 0

Bounding Boxes in Practice: Design and Early Evaluation of a Video-Based PPE Compliance Monitoring Application for Time-Critical Care: A preliminary evaluation of a video-based explainable interface to improve the usability of AI model outputs. 实践中的边界盒：基于视频的PPE合规性监控应用程序的设计和早期评估：基于视频的可解释界面的初步评估，以提高人工智能模型输出的可用性。

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2026-01-01 Epub Date: 2026-04-13 DOI: 10.1145/3772363.3798549

Christine D Ikponmwonba, Vidhi Shah, Sifan Yuan, Ivan Marsic, Randall Burd, Aleksandra Sarcevic

{"title":"Bounding Boxes in Practice: Design and Early Evaluation of a Video-Based PPE Compliance Monitoring Application for Time-Critical Care: A preliminary evaluation of a video-based explainable interface to improve the usability of AI model outputs.","authors":"Christine D Ikponmwonba, Vidhi Shah, Sifan Yuan, Ivan Marsic, Randall Burd, Aleksandra Sarcevic","doi":"10.1145/3772363.3798549","DOIUrl":"10.1145/3772363.3798549","url":null,"abstract":"We describe the design and initial evaluation of a video-based explainable interface (XUI) for personal protective equipment (PPE) compliance monitoring in a dynamic medical setting of trauma resuscitation. The system integrates video input, a computer vision model for detecting PPE status, backend processing, and the video-based XUI. The initial UI underwent a major redesign and was evaluated with five nurse educators. Participants interacted with the XUI features, provided feedback on visual elements, and compared and ranked alternate design options. Using the results, we determined visuals for alert symbols, PPE status, and compliance metrics that support rapid PPE compliance monitoring among care providers. While standard computer vision outputs, such as bounding boxes, improve explainability in object detection models, we suggest moving beyond these model representations to enhance system usability in practice.","PeriodicalId":73006,"journal":{"name":"Extended abstracts on Human factors in computing systems. CHI Conference","volume":"2026 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13482928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148802511","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

Daily Consistency Over Timing: Routine Formation and Population-Specific Opportunities in mHealth User Adherence. 每日一致性超过时间：移动健康用户依从性的常规形成和特定人群机会。

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2026-01-01 Epub Date: 2026-04-13 DOI: 10.1145/3772363.3799243

Samia Shahnawaz, Rhyann Clarke, Suzanne Bakken, Noemie Elhadad, Kyle Landell, Jovita Rodrigues, Matteo Danieletto, Ipek Ensari

{"title":"Daily Consistency Over Timing: Routine Formation and Population-Specific Opportunities in mHealth User Adherence.","authors":"Samia Shahnawaz, Rhyann Clarke, Suzanne Bakken, Noemie Elhadad, Kyle Landell, Jovita Rodrigues, Matteo Danieletto, Ipek Ensari","doi":"10.1145/3772363.3799243","DOIUrl":"10.1145/3772363.3799243","url":null,"abstract":"Understanding mobile Health (mHealth) user engagement patterns and its association to adherence in chronic disease populations is critical for data quality and clinical outcomes. Yet, this remains unexplored and a missed opportunity, given the unique value of mHealth data for traditionally under-documented conditions.Methods: We analyzed 13,997 total days of data from 131 female participants with chronic pelvic pain disorders (CPPDs) and 72 healthy controls. Participants tracked daily symptoms using a research App for 90 days. Using mixed-effects regression, we investigated predictors of adherence and consistency in App engagement, with moderators of CPPD burden and temporal accessibility.Results: Later-day engagement was the strongest predictor of user consistency, independent of pain interference or CPPD. Habitual evening tracking was associated with better adherence for those with CPPD vs healthy controls. Consistency was the strongest predictor of adherence.Conclusion: Prioritizing habit and preference over fixed-time assessments could improve temporal accessibility and data completeness.","PeriodicalId":73006,"journal":{"name":"Extended abstracts on Human factors in computing systems. CHI Conference","volume":"2026 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13089969/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147724712","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

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2025-04-01 Epub Date: 2025-04-25 DOI: 10.1145/3706599.3719813

Pooja M Desai, Ayush Raj, David Albers, Aparajita Kashyap, Lena Mamykina

{"title":"Something Similar: Exploring the Usefulness of an On-the-Spot Meal Recommendation System for Health Goal Attainment.","authors":"Pooja M Desai, Ayush Raj, David Albers, Aparajita Kashyap, Lena Mamykina","doi":"10.1145/3706599.3719813","DOIUrl":"10.1145/3706599.3719813","url":null,"abstract":"Recommendation systems for nutrition management have become increasingly popular. Current solutions focus on optimizing for users taste preferences, often neglecting practical factors including personal priorities, existing plans, and situational constraints. We propose similarity-based meal recommendation - a novel approach that considers users existing meal plans and recommends similar meals that also align with their nutrition goals. This approach is designed to support meal decisions in on-the-spot, particularly when individuals are in constrained settings with limited options for adjustment (e.g. a cafeteria). We conducted a feasibility study with 15 participants to evaluate the utility of similarity-based recommendations in constrained settings and refine the system design. Findings show (1) a novel approach for similarity-based meal recommendations, (2) insights into the dimensions of similarity influencing actionability across diverse, and (3) opportunities to enhance user control over the system's design. The study contributes to the advancement of human-centered AI technologies in nutrition.","PeriodicalId":73006,"journal":{"name":"Extended abstracts on Human factors in computing systems. CHI Conference","volume":"2025 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12463304/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145187766","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

Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia. 语音助手为痴呆症患者提供认知刺激疗法。

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2025-04-01 Epub Date: 2025-04-25 DOI: 10.1145/3706599.3719707

Ling Qiu, Ita Daryanti Saragih, Donna Marie Fick, S Shyam Sundar, Saeed Abdullah

{"title":"Voice Assistants to Deliver Cognitive Stimulation Therapy for Persons Living with Dementia.","authors":"Ling Qiu, Ita Daryanti Saragih, Donna Marie Fick, S Shyam Sundar, Saeed Abdullah","doi":"10.1145/3706599.3719707","DOIUrl":"10.1145/3706599.3719707","url":null,"abstract":"Dementia is a global public health concern, with approximately 55 million individuals worldwide currently living with it. Individual cognitive stimulation therapy (iCST) has been shown to improve quality of life for persons living with dementia (PLwDs). However, providing iCST at scale remains a serious challenge, specifically as it can add considerable burden on care partners. This project focuses on a voice assistant (VA) to support care partners in delivering iCST. We developed a VA prototype and conducted a qualitative study with care partners (N=5). Our preliminary findings show that using a VA to deliver iCST is feasible and acceptable. We have also identified design requirements for the VA to effectively provide iCST, including need for personalization reflecting dementia severity and individual interests, collaboration between care partners and PLwDs, and accessible interactions to minimize frustration and distress. These findings can inform the future design of inclusive and accessible VAs.","PeriodicalId":73006,"journal":{"name":"Extended abstracts on Human factors in computing systems. CHI Conference","volume":"2025 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627884","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

OURCADE: A Game to Solve Real-World Game Accessibility Puzzles. 《OURCADE：一款解决现实世界游戏易用性谜题的游戏》

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2025-01-01 DOI: 10.1145/3706599.3720323

Jesse J Martinez

引用次数: 0

Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App. 情境人工智能日志：整合 LLM 和时间序列行为传感技术，利用 MindScape 应用程序促进自我反思和幸福感。

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2024-05-01 Epub Date: 2024-05-11 DOI: 10.1145/3613905.3650767

Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Eunsol Soul Choi, Orson Xu, Joanna Kuc, Jeremy Huckins, Jason Holden, Colin Depp, Nicholas Jacobson, Mary Czerwinski, Eric Granholm, Andrew T Campbell

{"title":"Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App.","authors":"Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Eunsol Soul Choi, Orson Xu, Joanna Kuc, Jeremy Huckins, Jason Holden, Colin Depp, Nicholas Jacobson, Mary Czerwinski, Eric Granholm, Andrew T Campbell","doi":"10.1145/3613905.3650767","DOIUrl":"10.1145/3613905.3650767","url":null,"abstract":"MindScape aims to study the benefits of integrating time series behavioral patterns (e.g., conversational engagement, sleep, location) with Large Language Models (LLMs) to create a new form of contextual AI journaling, promoting self-reflection and well-being. We argue that integrating behavioral sensing in LLMs will likely lead to a new frontier in AI. In this Late-Breaking Work paper, we discuss the MindScape contextual journal App design that uses LLMs and behavioral sensing to generate contextual and personalized journaling prompts crafted to encourage self-reflection and emotional development. We also discuss the MindScape study of college students based on a preliminary user study and our upcoming study to assess the effectiveness of contextual AI journaling in promoting better well-being on college campuses. MindScape represents a new application class that embeds behavioral intelligence in AI.","PeriodicalId":73006,"journal":{"name":"Extended abstracts 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/PMC11275533/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141790207","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

Will AI allow us to dispense with all or most accessibility regulations? 人工智能能否让我们免除所有或大部分无障碍法规？

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2024-01-01

Gregg Vanderheiden, Crystal Yvette Marte

引用次数: 0

Battling Bias in Primary Care Encounters: Informatics Designs to Support Clinicians. 在初级保健遭遇中对抗偏见:支持临床医生的信息学设计。

Extended abstracts on Human factors in computing systems. CHI Conference Pub Date : 2022-04-01 DOI: 10.1145/3491101.3519825

Lisa G Dirks, Erin Beneteau, Janice Sabin, Wanda Pratt, Cezanne Lane, Emily Bascom, Reggie Casanova-Perez, Naba Rizvi, Nadir Weibel, Andrea L Hartzler

{"title":"Battling Bias in Primary Care Encounters: Informatics Designs to Support Clinicians.","authors":"Lisa G Dirks, Erin Beneteau, Janice Sabin, Wanda Pratt, Cezanne Lane, Emily Bascom, Reggie Casanova-Perez, Naba Rizvi, Nadir Weibel, Andrea L Hartzler","doi":"10.1145/3491101.3519825","DOIUrl":"https://doi.org/10.1145/3491101.3519825","url":null,"abstract":"Although clinical training in implicit bias is essential for healthcare equity, major gaps remain both for effective educational strategies and for tools to help identify implicit bias. To understand the perspectives of clinicians on the design of these needed strategies and tools, we conducted 21 semi-structured interviews with primary care clinicians about their perspectives and design recommendations for tools to improve patient-centered communication and to help mitigate implicit bias. Participants generated three types of solutions to improve communication and raise awareness of implicit bias: digital nudges, guided reflection, and data-driven feedback. Given the nuance of implicit bias communication feedback, these findings illustrate innovative design directions for communication training strategies that clinicians may find acceptable. Improving communication skills through individual feedback designed by clinicians for clinicians has the potential to improve healthcare equity.","PeriodicalId":73006,"journal":{"name":"Extended abstracts 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/PMC9128862/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9345797","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