@inproceedings{bcf1a2afdda74361adc7da20a862f6aa,
title = "Shorter and Simpler: Customizing Generative AI Responses Can Increase Satisfaction, Credibility, and Fact-Checking Intentions",
abstract = "As generative AI becomes increasingly popular, some platforms have started to offer customization options, allowing users to modify responses to become shorter or longer. This study explores the impact of these customization options on user experience and perceived credibility of the generative AI tool. In an experiment with three conditions (no/voluntary/forced customization), participants (N = 194) interacted with Google Gemini on four health topics. The results showed that customization increased perceived control, which was positively associated with satisfaction with generated responses and source credibility. Perceived control brought about by customizing also had an empowering effect by boosting fact-checking intentions. Our findings offer novel design insights for customization affordances in generative AI platforms, and we provide recommendations on ways to leverage customization to jointly improve both user experience and socially responsible use of AI.",
keywords = "Credibility, Customization, Fact-checking Intentions, Satisfaction",
author = "Lee, \{Hui Min\} and Peixin Hua and Rehab Alayoubi and Sundar, \{S. Shyam\}",
note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 ; Conference date: 26-04-2025 Through 01-05-2025",
year = "2025",
month = apr,
day = "26",
doi = "10.1145/3706599.3719749",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems",
}