Enhancing user experience in Chinese initial text conversations with personalised AI-powered assistant
Enhancing user experience in Chinese initial text conversations with personalised AI-powered assistant
In the rapidly evolving landscape of text-based communication, the importance of the initial interaction phase remains paramount. This study investigates the potential benefits that a proposed AI chat assistant equipped with text recommendation and polishing functionalities can bring during initial textual interactions. The system allows the users to personalise the language style, choosing between \textit{humorous} and \textit{respectful}. They can also choose between three different levels of AI extraversion to suit their preferences. Results of user evaluations indicate the system received a ``good'' usability rating, affirming its effectiveness. Users reported heightened comfort levels and increased willingness to continue interactions when using the AI chat assistant. The analysis of the results offers insights into harnessing AI to amplify user engagement, especially in the critical initial stage of textual interaction.
Wang, Jindi
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Ivrissimtzis, Ioannis
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Li, Zhaoxing
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Shi, Lei
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15 May 2024
Wang, Jindi
a5af917b-2ac6-4173-8435-c08963dc7ed7
Ivrissimtzis, Ioannis
af7d236c-09e2-4b93-baa5-35fdece8a758
Li, Zhaoxing
65935c45-a640-496c-98b8-43bed39e1850
Shi, Lei
3e73da43-5e7e-4544-a327-9de0046edfa2
Wang, Jindi, Ivrissimtzis, Ioannis, Li, Zhaoxing and Shi, Lei
(2024)
Enhancing user experience in Chinese initial text conversations with personalised AI-powered assistant.
2024 ACM CHI Conference on Human Factors in Computing Systems: Surfing the World, Hawaiʻi Convention Center, Honolulu, United States.
11 - 16 May 2024.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In the rapidly evolving landscape of text-based communication, the importance of the initial interaction phase remains paramount. This study investigates the potential benefits that a proposed AI chat assistant equipped with text recommendation and polishing functionalities can bring during initial textual interactions. The system allows the users to personalise the language style, choosing between \textit{humorous} and \textit{respectful}. They can also choose between three different levels of AI extraversion to suit their preferences. Results of user evaluations indicate the system received a ``good'' usability rating, affirming its effectiveness. Users reported heightened comfort levels and increased willingness to continue interactions when using the AI chat assistant. The analysis of the results offers insights into harnessing AI to amplify user engagement, especially in the critical initial stage of textual interaction.
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Published date: 15 May 2024
Venue - Dates:
2024 ACM CHI Conference on Human Factors in Computing Systems: Surfing the World, Hawaiʻi Convention Center, Honolulu, United States, 2024-05-11 - 2024-05-16
Identifiers
Local EPrints ID: 489417
URI: http://eprints.soton.ac.uk/id/eprint/489417
PURE UUID: 9bbb95da-203a-4509-95b7-51603bb22159
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Date deposited: 23 Apr 2024 17:56
Last modified: 24 Apr 2024 02:10
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Contributors
Author:
Jindi Wang
Author:
Ioannis Ivrissimtzis
Author:
Zhaoxing Li
Author:
Lei Shi
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