How an Author Character-based Generative AI Chatbot Can Arouse Interest in Reading: The Perspective of an Online Service?

Eunwoo Choi; Gahyeon Kim; Gyeongmi Kim; Dabin Choe; Soonkyu Jang

doi:10.47852/bonviewAIA52025459

Authors

Eunwoo Choi Department Visual Communication Design, Keimyung University, Republic of Korea
Gahyeon Kim Department Visual Communication Design, Keimyung University, Republic of Korea
Gyeongmi Kim Department Visual Communication Design, Keimyung University, Republic of Korea
Dabin Choe Department Visual Communication Design, Keimyung University, Republic of Korea
Soonkyu Jang Department Visual Communication Design, Keimyung University, Republic of Korea

DOI:

https://doi.org/10.47852/bonviewAIA52025459

Keywords:

user experience (UX), Generative AI (Gen AI), AI chatbot, service design

Abstract

In modern society, the MZ generation (Millennials and Generation Z) reads fewer paper books than in the past, as smartphone usage has become prevalent. This generation is accustomed to watching videos that present summarized information on online platforms. Consequently, they typically acquire information about books through these summaries available online. This study aims to propose the use of artificial intelligence (AI) human characters based on Generative AI to stimulate reading interest among the MZ generation. The recent advancements in Generative AI technology allow for experiences that simulate communication with real people. In addition, various services communicate with users through AI human characters that resemble real individuals. This research investigates whether providing a chatbot, based on AI human characters, with actual conversations from the author of a book can serve as a positive service for users. To explore this concept, the study developed an AI character based chatbot representing Kim, a renowned Korean novelist, as a Generative AI. A prototype was created to facilitate discussions about the book’s content with users. The research employed the System Usability Scale (SUS) test on subjects from the MZ generation using the prototype app service. The SUS test yielded a score of 79.5 points, indicating that it is usable. Furthermore, the normality of the SUS test results for each subject was assessed, confirming that the results are normally distributed, which enhances the reliability of the findings. This research aspires to contribute positively to the reading culture through digital devices and online services utilizing Generative AI.

Received: 20 February 2025 | Revised: 14 July 2025 | Accepted: 29 July 2025

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement

Eunwoo Choi: Writing – original draft, Writing – review & editing, Investigation, Supervision. Gahyeon Kim: Visualization, Investigation. Gyeongmi Kim: Visualization, Investigation, Writing – review & editing. Dabin Choe: Visualization, Investigation, Writing – review & editing. Soonkyu Jang: Conceptualization, Methodology, Validation, Formal analysis, Project administration.