OK Google, Let's Learn: Using Voice User Interfaces for Informal Self-Regulated Learning of Health Topics among Younger and Older Adults

Desai, Smit; Chin, Jessie

doi:10.1145/3544548.3581507

Cited by 11 publications

(1 citation statement)

References 107 publications

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“…His primary research focus centers around comprehending the mental models of users as they engage with conversational agents, utilizing innovative research techniques such as metaphor analysis [17]. He leverages this valuable insight to advance the development of conversational agents in diverse social roles, including educators [13] and storytellers [14]. Smit is a Provocation Papers Co-Chair at the upcoming ACM CUI 2024 conference.…”

Section: Organizersmentioning

confidence: 99%

CUI@CHI 2024: Building Trust in CUIs—From Design to Deployment

Desai,

Wei,

Sin

et al. 2024

Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

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Conversational user interfaces (CUIs) have become an everyday technology for people the world over, as well as a booming area of research. Advances in voice synthesis and the emergence of chatbots powered by large language models (LLMs), notably ChatGPT, have pushed CUIs to the forefront of human-computer interaction (HCI) research and practice. Now that these technologies enable an elemental level of usability and user experience (UX), we must turn our attention to higher-order human factors: trust and reliance. In this workshop, we aim to bring together a multidisciplinary group of researchers and practitioners invested in the next phase of CUI design. Through keynotes, presentations, and breakout sessions, we will share our knowledge, identify cutting-edge resources, and fortify an international network of CUI scholars. In particular, we will engage with the complexity of trust and reliance as attitudes

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Section: Organizersmentioning

confidence: 99%

CUI@CHI 2024: Building Trust in CUIs—From Design to Deployment

Desai,

Wei,

Sin

et al. 2024

Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Self Cite

View full text Add to dashboard Cite

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Understanding voice‐based information uncertainty: A case study of health information seeking with voice assistants

Brewer

2023

Asso for Info Science & Tech

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Evaluating information quality online is increasingly important for healthy decision‐making. People assess information quality using visual interfaces (e.g., computers, smartphones) with visual cues like aesthetics. Yet, voice interfaces lack critical visual cues for evaluating information because there is often no visual display. Without ways to assess voice‐based information quality, people may overly trust or misinterpret information which can be challenging in high‐risk or sensitive contexts. This paper investigates voice information uncertainty in one high‐risk context—health information seeking. We recruited 30 adults (ages 18–84) in the United States to participate in scenario‐based interviews about health topics. Our findings provide evidence of information uncertainty expectations with voice assistants, voice search preferences, and the audio cues they use to assess information quality. We contribute a nuanced discussion of how to inform more critical information ecosystems with voice technologies and propose ways to design audio cues to help people more quickly assess content quality.

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Let’s Chat to Negotiate: Designing a Conversational Agent for Learning Negotiation Skills

Zahn,

Schöbel

2024

Design Science Research for a Resilient Future

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OK Google, Let's Learn: Using Voice User Interfaces for Informal Self-Regulated Learning of Health Topics among Younger and Older Adults

Cited by 11 publications

References 107 publications

CUI@CHI 2024: Building Trust in CUIs—From Design to Deployment

CUI@CHI 2024: Building Trust in CUIs—From Design to Deployment

Understanding voice‐based information uncertainty: A case study of health information seeking with voice assistants

Let’s Chat to Negotiate: Designing a Conversational Agent for Learning Negotiation Skills

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