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| Title: | 消費者與AI技術之間的實證研究：聊天機器人與生成式人工智慧
An Empirical Study between Consumers and AI Technology : Chatbots and Generative AI |
| Authors: | 玎公明
Dinh, Cong Minh |
| Contributors: | 朴星俊
Park, Sungjun (Steven)
玎公明
Dinh, Cong Minh |
| Keywords: | 人工智慧
聊天機器人
生成式人工智慧
動機
社會臨場感
思維智能
情感智能
社會距離
社會地位
artificial intelligence
chatbot
generative artificial intelligence
motivations
social presence
thinking intelligence
feeling intelligence
social distance
social status |
| Date: | 2024 |
| Issue Date: | 2025-01-02 12:09:36 (UTC+8) |
| Abstract: | 基於大數據、自然語言處理、雲端運算、機器學習、自然語言處理、電腦視覺、大型語言模型、機器學習及相關技術方面的進步，人工智慧（AI）的應用已愈來愈廣泛。由於AI的應用不斷滲透到消費者日常生活的各個方面，消費者對這些應用的依賴也逐漸增加。因此，無論是業界還是學術界，都需要了解促使消費者採用這些AI應用的因素。本論文則通過三個研究對美國受試者進行問卷研究來填補這些缺口。
研究一以自我決定理論為基礎，通過探討享樂動機和功利動機如何影響社會臨場感，進而影響消費者對於AI聊天機器人之使用意圖。該研究還顯示，消費者的COVID-19恐懼會加強影響社會臨場感對使用意圖的影響。
在生成式AI（GenAI）的背景下，研究二A和研究二B以社會相互依賴理論為基礎，探討GenAI的思維智能和情感智能如何透過預期成功影響消費者的使用意圖。研究二顯示，可以透過操弄消費者與GenAI關係間之社會距離來改變其對GenAI社會地位之認知。
綜上所述，本研究的發現不僅對AI相關的文獻做出貢獻，而且還能為開發AI聊天機器人和GenAI的企業提供了有價值的實務建議。
Progress in big data, natural language processing, cloud computing, computer vision, large language models, machine learning, and related technologies has driven the widespread adoption of various artificial intelligence (AI) applications. As AI applications permeate many aspects of consumers’ everyday lives, their reliance on these applications also increases. Therefore, it is imperative to identify what motivates consumers to adopt these technologies. This dissertation addresses this question through three studies using survey data from U.S. participants.
Grounded in self-determination theory, study 1 contributes to chatbot research by examining how different types of motivations, particularly intrinsic/hedonic and extrinsic/utilitarian, influence social presence, thereby shaping users’ adoption intentions. The study also reveals that fear arising from the COVID-19 pandemic heightened the influence of perceived social presence on adoption.
In generative AI (GenAI) contexts, studies 2A and study 2B draw on social interdependence theory to investigate how thinking and feeling intelligence of GenAI drive consumers’ adoption intention, with anticipated success acting as a mediator. These two studies also advance consumer research by demonstrating that by manipulating social distance in consumer-GenAI relations, researcher can alter perceptions of GenAI’s superior social status.
Together, these findings not only extend the relevant literature, but also provide practical insights for firms seeking to facilitate consumer adoption of AI-powered chatbots and GenAI. |
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| Description: | 博士
國立政治大學
企業管理學系
109355511 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0109355511 |
| Data Type: | thesis |
| Appears in Collections: | [企業管理學系] 學位論文
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