دورية أكاديمية
Is Artificial Intelligence Attractive? An Empirical Study on User’s Intention to Use AI-Enabled Applications
| العنوان: | Is Artificial Intelligence Attractive? An Empirical Study on User’s Intention to Use AI-Enabled Applications |
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| المؤلفون: | Zhao, Yu (Gary), El-Gayar, Omar, Tu, Zhiling |
| سنة النشر: | 2023 |
| المجموعة: | ScholarSpace at University of Hawaii at Manoa |
| مصطلحات موضوعية: | Application and Adoption of Emerging Technologies: From Artificial Intelligence to Metaverse, ai-enabled application, ai features, intention to use, task-technology fit |
| الوصف: | Artificial Intelligence (AI) technologies such as machine learning (ML), natural language processing (NLP), and image recognition, are being incorporated into a wide variety of applications. These AI-enabled applications (AIapps) promise to reshape people's lives. However, despite the proliferation of AI-related research, very little research has focused on how AIapps' unique characteristics affect an individual's adoption behavior. This study examines factors influencing an individual's intention to use AIapps with a proposed research model based on the Task-Technology Fit (TTF) as the underlying theoretical framework. The research model is empirically evaluated using the survey data and SEM method. Theoretically, this study focuses on how the unique characteristics of AIapps influence the task-technology fit and drive the intention of use. The findings are expected to help AIapp developers to evaluate the relative importance of AIapp features which can provide insights into the technology characteristics and identify priorities for further research and development. |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| ردمك: | 978-0-9981331-6-4 0-9981331-6-7 |
| العلاقة: | Proceedings of the 56th Hawaii International Conference on System Sciences; https://hdl.handle.net/10125/103426Test |
| DOI: | 10.24251/HICSS.2023.792 |
| الإتاحة: | https://doi.org/10.24251/HICSS.2023.792Test https://hdl.handle.net/10125/103426Test |
| حقوق: | Attribution-NonCommercial-NoDerivatives 4.0 International ; https://creativecommons.org/licenses/by-nc-nd/4.0Test/ |
| رقم الانضمام: | edsbas.E3AEC30B |
| قاعدة البيانات: | BASE |
| ردمك: | 9780998133164 0998133167 |
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| DOI: | 10.24251/HICSS.2023.792 |