隨著人工智慧技術的快速發展，自然語言處理模型如ChatGPT已成為協助搜尋旅遊資訊的有效工具，本研究旨在探討ChatGPT對個人旅遊意圖的影響。本研究以延伸整合科技接受模式為核心架構，納入UTAUT2變數作為外部因素，藉以探討使用者在使用生成式人工智慧如ChatGPT輔助搜尋旅遊資訊時，其感知利益以及影響因素，並進一步探討對後續旅遊行為意圖的影響。
研究方法部分，藉由網路便利抽樣，受測者須在觀看ChatGPT簡介與如何用ChatGPT規劃旅行的演示影片後進行問卷填答。本研究的正式問卷調查共計回收349份有效樣本，並使用偏最小平方法的結構方程模型(PLS-SEM)對蒐集到的數據結果進行分析。
分析結果指出，當使用者使用ChatGPT輔助搜尋旅遊資訊時，其績效預期、努力預期、享樂動機與使用習慣，對使用者的感知利益具有正向影響，進而影響ChatGPT使用者的旅遊意圖，也進一步促進使用者產生旅遊行為的可能。

With the rapid development of artificial intelligence technology, natural language processing models like ChatGPT have become effective tools for assisting in searching for travel information. This research aims to explore the impact of ChatGPT on individual travel intentions. This study adopts an extended Unified Theory of Acceptance and Use of Technology (UTAUT2) framework, incorporating UTAUT2 variables as external factors to investigate users' Perceived Benefits and influencing factors when using generative AI like ChatGPT to assist in searching for travel information. Additionally, the study examines the subsequent impact on travel behavioral intentions.
In the methodology section, participants were recruited through convenient online sampling. Participants were required to watch an introduction to ChatGPT and a demonstration video on how to plan a trip using ChatGPT, followed by questionnaire completion. The formal survey garnered a total of 349 valid , and the collected data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).
The analysis results indicate that when users utilize ChatGPT to assist in searching for travel information, their Performance Expectancy, Effort Expectancy, Hedonic Motivation, and usage Habit have a positive impact on users' Perceived Benefits. This subsequently influences users' travel intentions facilitated by ChatGPT and further encourages the likelihood of users engaging in travel-related activities.

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