Developing a Dual Factor Model to Investigate Virtual Personal Assistant User''s Continue to Use Intention
碩士 === 國立中山大學 === 資訊管理學系研究所 === 107 === Voice Assistant is also known as Virtual Personal Assistant (VPA), an artificial intelligence software equipped with natural language processing. Users can use voice or text as an input interface and perform a series of services through the smart devices such...
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ndltd-TW-107NSYS53960392019-09-17T03:40:11Z http://ndltd.ncl.edu.tw/handle/r9a8zc Developing a Dual Factor Model to Investigate Virtual Personal Assistant User''s Continue to Use Intention 利用雙重因素模式探討影響使用者持續使用語音助理之意圖 Tzu-En Huang 黃梓恩 碩士 國立中山大學 資訊管理學系研究所 107 Voice Assistant is also known as Virtual Personal Assistant (VPA), an artificial intelligence software equipped with natural language processing. Users can use voice or text as an input interface and perform a series of services through the smart devices such as mobile devices and smart speakers. According to foreign market research report, voice assistant’s usage rate is low and not widely accepted by the public in consumer market, and most academic researches focus on the technical aspect. However, this study wants to understand the factors of whether users are willing to continue to use voice assistant or not. We will construct a research model of dual factors, including dedication path and constraint path to understand the actual intention of voice assistant users. In this study, 224 valid questionnaires were analyzed, and it was found that the influence of intelligence confirmation on satisfaction was greater than performance, integration and customization confirmation. This study is mainly to provide a reference basis for relevant industry, so that it can develop functions according to users’ needs, and to provide the direction for improving the current functions of voice assistants, and finally to improve users’ continuance using voice assistant’s intention. Tung-Ching Lin 林東清 2019 學位論文 ; thesis 69 en_US |
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碩士 === 國立中山大學 === 資訊管理學系研究所 === 107 === Voice Assistant is also known as Virtual Personal Assistant (VPA), an artificial intelligence software equipped with natural language processing. Users can use voice or text as an input interface and perform a series of services through the smart devices such as mobile devices and smart speakers. According to foreign market research report, voice assistant’s usage rate is low and not widely accepted by the public in consumer market, and most academic researches focus on the technical aspect. However, this study wants to understand the factors of whether users are willing to continue to use voice assistant or not. We will construct a research model of dual factors, including dedication path and constraint path to understand the actual intention of voice assistant users. In this study, 224 valid questionnaires were analyzed, and it was found that the influence of intelligence confirmation on satisfaction was greater than performance, integration and customization confirmation. This study is mainly to provide a reference basis for relevant industry, so that it can develop functions according to users’ needs, and to provide the direction for improving the current functions of voice assistants, and finally to improve users’ continuance using voice assistant’s intention.
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author2 |
Tung-Ching Lin |
author_facet |
Tung-Ching Lin Tzu-En Huang 黃梓恩 |
author |
Tzu-En Huang 黃梓恩 |
spellingShingle |
Tzu-En Huang 黃梓恩 Developing a Dual Factor Model to Investigate Virtual Personal Assistant User''s Continue to Use Intention |
author_sort |
Tzu-En Huang |
title |
Developing a Dual Factor Model to Investigate Virtual Personal Assistant User''s Continue to Use Intention |
title_short |
Developing a Dual Factor Model to Investigate Virtual Personal Assistant User''s Continue to Use Intention |
title_full |
Developing a Dual Factor Model to Investigate Virtual Personal Assistant User''s Continue to Use Intention |
title_fullStr |
Developing a Dual Factor Model to Investigate Virtual Personal Assistant User''s Continue to Use Intention |
title_full_unstemmed |
Developing a Dual Factor Model to Investigate Virtual Personal Assistant User''s Continue to Use Intention |
title_sort |
developing a dual factor model to investigate virtual personal assistant user''s continue to use intention |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/r9a8zc |
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