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The Effects of empathy and personalization on chatbot usage intention : A structural equation modeling analysis based on the elaboration likelihood model (ELM)

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 14 Number 2 (2025.06)바로가기
  • 페이지
    pp.78-85
  • 저자
    Sunnyoung Lee, Soyeon Kim, JaeWook Bae
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A470043

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원문정보

초록

영어
This study investigates how social-affective features of chatbots, namely empathy and personalization, influence users’ intention to use them. Grounded in the elaboration likelihood model (ELM), empathy is conceptualized as a peripheral cue, while personalization functions as a central cue. Trust and perceived usefulness are proposed as mediators of these effects. Partial least squares structural equation modeling (PLSSEM) was applied to data collected from 289 respondents with chatbot experience. The results show that both empathy and personalization significantly impact trust and perceived usefulness but do not directly influence usage intention. Rather, their effects are fully mediated by trust and usefulness. Furthermore, a multi-group analysis reveals that users' prior chatbot experience moderates the relationships. The findings provide theoretical insights into affective persuasion mechanisms and practical implications for experience-based chatbot design.

목차

Abstract
1. Introduction
2. Theoretical background and hypotheses
2.1 Chatbot communication and persuasion framework
2.2 Key constructs and route classification
2.3 Hypotheses development
3. Research model
3.1 Structure of the model
3.2 Definition of variables
3.3 Analytical approach
4. Results of empirical analysis
4.1 Demographic profile of the sample
4.2 Evaluation of the measurement model
4.3 Structural model results
4.4 Mediation analysis
4.5 Multi-group analysis by usage experience
5. Conclusion and implications
5.1 Theoretical and practical implications
5.2 Limitations and Future Research
References

키워드

Chatbot Empathy Personalization Trust Perceived Usefulness ELM PLS-SEM

저자

  • Sunnyoung Lee [ Teaching Professor, Department of Business, Dongguk University, Korea ] Corresponding Author
  • Soyeon Kim [ Master’s Student, Department of Business, Sungkyunkwan University, Korea ]
  • JaeWook Bae [ Undergraduate Student, Department of Business, Dongguk University, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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