Enhancing User Experience in Chinese Initial Text Conversations with Personalised AI-Powered Assistant.

Jindi Wang, Ioannis P. Ivrissimtzis,Zhaoxing Li,Lei Shi

ACM Conference on Human Factors in Computing Systems(2024)

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摘要
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 humorous and 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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