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pro vyhledávání: '"Mahmood, Amama"'
Autor:
Mahmood, Amama, Huang, Chien-Ming
Conducting research with older adults in their home environments presents unique opportunities and challenges that differ significantly from traditional lab-based studies. In this paper, we share our experiences from year-long research activities aim
Externí odkaz:
http://arxiv.org/abs/2409.15495
Supporting older adults in health self-management is crucial for promoting independent aging, particularly given the growing strain on healthcare systems. While voice assistants (VAs) hold the potential to support aging in place, they often lack tail
Externí odkaz:
http://arxiv.org/abs/2409.15488
Our work addresses the challenges older adults face with commercial Voice Assistants (VAs), notably in conversation breakdowns and error handling. Traditional methods of collecting user experiences-usage logs and post-hoc interviews-do not fully capt
Externí odkaz:
http://arxiv.org/abs/2403.02421
Social communication between people and social robots has been studied extensively and found to have various notable benefits, including the enhancement of human-robot team cohesion and the development of rapport and trust. However, the potential of
Externí odkaz:
http://arxiv.org/abs/2312.07454
Autor:
Mahmood, Amama, Huang, Chien-Ming
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction, Volume 8, Issue CSCW1, 2024; Article No.: 60, Pages 1 - 27
Commercial voice assistants are largely feminized and associated with stereotypically feminine traits such as warmth and submissiveness. As these assistants continue to be adopted for everyday uses, it is imperative to understand how the portrayed ge
Externí odkaz:
http://arxiv.org/abs/2310.13074
Autor:
Chan, Szeyi, Li, Jiachen, Yao, Bingsheng, Mahmood, Amama, Huang, Chien-Ming, Jimison, Holly, Mynatt, Elizabeth D, Wang, Dakuo
The rapid advancement of the Large Language Model (LLM) 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-
Externí odkaz:
http://arxiv.org/abs/2310.05853
Conventional Voice Assistants (VAs) rely on traditional language models to discern user intent and respond to their queries, leading to interactions that often lack a broader contextual understanding, an area in which Large Language Models (LLMs) exc
Externí odkaz:
http://arxiv.org/abs/2309.13879
Artificial Intelligence (AI) is an integral part of our daily technology use and will likely be a critical component of emerging technologies. However, negative user preconceptions may hinder adoption of AI-based decision making. Prior work has highl
Externí odkaz:
http://arxiv.org/abs/2111.08830
Akademický článek
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The objective of this study is to understand how an artificial intelligence (AI) decision-support tool’s presentation of varying explanation types, confidence levels, and correct or incorrect advice to physicians in a diagnostic task affects the ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d71db8e8ab684d317368392db487eb9