Jungkeun Kim, Seunghun Shin, Joo Young Kim, Chulmo Koo
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引用次数: 0
Abstract
This research examines the effect of the answering style of ChatGPT on users' acceptance in a trip planning context, where ChatGPT recommends a list of destinations. Focusing on two style factors (information structure: destinations are listed vs. explained; communication style: opening and ending remarks are present vs. absent), we examined how travelers' acceptance of ChatGPT's recommendation varied with its answering style based on the “Computers are Social Actors” paradigm, via three experiments. While the relationship between communication style and travelers' acceptance was not significant, that between information structure and acceptance was significant, travelers were more willing to visit the destinations recommended by ChatGPT when they were explained than when listed. Also, this research identified a mediator (perceived informativeness) and a moderator (travelers' familiarity with the destinations) of the relationship. As one of the earliest empirical studies regarding travelers' usage of ChatGPT, this study serves as a reference for future research.
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.