Exploring the Effects of Interactive Dialogue in Improving User Control for Explainable Online Symptom Checkers-Reference-Cited by-同舟云学术

Exploring the Effects of Interactive Dialogue in Improving User Control for Explainable Online Symptom Checkers

Published:2022-04-27 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems Extended Abstracts
language:
Short-container-title:

Author:

Sun Yuan¹,Sundar S. Shyam²

Affiliation:

1. Media Effect Research Laboratory, The Pennsylvania State University, United States

2. Media Effects Research Laboratory, The Pennsylvania State University, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491101.3519668

Reference51 articles.

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4. Vijay Arya Rachel KE Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind Samuel C Hoffman Stephanie Houde Q Vera Liao Ronny Luss Aleksandra Mojsilović 2019. One explanation does not fit all: A toolkit and taxonomy of AI explainability techniques. arXiv preprint arXiv:1909.03012(2019). Vijay Arya Rachel KE Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind Samuel C Hoffman Stephanie Houde Q Vera Liao Ronny Luss Aleksandra Mojsilović 2019. One explanation does not fit all: A toolkit and taxonomy of AI explainability techniques. arXiv preprint arXiv:1909.03012(2019).

5. I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents

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