Understanding User Preferences of Voice Assistant Answer Structures for Personal Health Data Queries-Reference-Cited by-同舟云学术

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Understanding User Preferences of Voice Assistant Answer Structures for Personal Health Data Queries

Published:2024-07-08 Issue: Volume: Page:1-15
ISSN:
Container-title:ACM Conversational User Interfaces 2024
language:
Short-container-title:

Author:

Rey Bradley¹^ORCID,Sakamoto Yumiko²^ORCID,Sin Jaisie³^ORCID,Irani Pourang⁴^ORCID

Affiliation:

1. Computer Science, University of British Columbia, Canada

2. Department of Computer Science, University of British Columbia, Canada

3. University of British Columbia, Canada

4. Department of Computer Science, University of British Columbia (Okanagan), Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3640794.3665552

Reference47 articles.

1. Emily Couvillon Alagha and Rachel Renee Helbing. 2019. Evaluating the quality of voice assistants’ responses to consumer health questions about vaccines: an exploratory comparison of Alexa, Google Assistant and Siri. BMJ health & care informatics 26, 1 (2019), e100075.

2. Data representations for in-situ exploration of health and fitness data

3. Daniel L Ashbrook. 2010. Enabling mobile microinteractions. Georgia Institute of Technology.

4. The Continued Prevalence of Dichotomous Inferences at CHI

5. Patient and Consumer Safety Risks When Using Conversational Assistants for Medical Information: An Observational Study of Siri, Alexa, and Google Assistant

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