"No, not that voice again!": Engaging Older Adults in Design of Anthropomorphic Voice Assistants [0.03%]
“不是那个声音了！不要在设计拟人化语音助手时忽略老年人的声音」
Alisha Pradhan,Sheena Erete,Shaan Chopra et al.
Alisha Pradhan et al.
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 characteris...
" Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner [0.03%]
《 mango mango，如何不用脱水机让生菜脱水？》——基于LLM的烹饪助手型对话式AI用户感知研究
Szeyi Chan,Jiachen Li,Bingsheng Yao et al.
Szeyi Chan et al.
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, user...
Can you see what I see? Examining the Impact of Smart Glasses on Communication Dynamics in Distributed Emergency Medical Teams [0.03%]
你能看到我看到的吗？探究智能眼镜对分布式急救团队沟通动态的影响
Zhan Zhang,Enze Bai,Yincao Xu et al.
Zhan Zhang et al.
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 pho...
Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness [0.03%]
用于改善行为改变干预措施参与度的大型语言模型代理：在数字正念中的应用
Harsh Kumar,Suhyeon Yoo,Angela Zavaleta Bernuy et al.
Harsh Kumar et al.
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...
A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health [0.03%]
公共卫生领域大型语言模型采用的风险分类和反思工具
Jiawei Zhou,Amy Z Chen,Darshi Shah et al.
Jiawei Zhou et al.
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...
Exploring Design Recommendations for Promoting Brain Health, ADRD Health Literacy, and Participation in clinical ADRD trials in Older African American/Black Adults [0.03%]
促进大脑健康、ADRD健康素养及老年人参与临床试验的设计建议探讨——针对非裔美国人/黑人老年人群体
Alec Andrew Theisz,Cristina Bosco,John Osorio Torres et al.
Alec Andrew Theisz et al.
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 persisti...
To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events [0.03%]
推荐还是不推荐：设计和评估针对时间关键型医疗事件的AI辅助决策支持系统
Angela Mastrianni,Mary Suhyun Kim,Travis M Sullivan et al.
Angela Mastrianni et al.
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 syste...
Bridging Ontologies of Neurological Conditions: Towards Patient-centered Data Practices in Digital Phenotyping Research and Design [0.03%]
神经状况本体的衔接：数字表型研究与设计中以患者为中心的数据实践走向
Jianna So,Faye X Yang,Krzysztof Z Gajos et al.
Jianna So et al.
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...
Megan H Papesh,Michael C Hout,Giovanna C Del Sordo et al.
Megan H Papesh et al.
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 i...
Addressing Teamwork Delays during Life-Saving Interventions through an Activity Theory-Informed Analysis [0.03%]
基于活动理论的生命支持干预中团队协作延迟问题的分析
Katherine Ann Zellner,Aleksandra Sarcevic,Maja Barnouw et al.
Katherine Ann Zellner et al.
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 t...