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Human-chatbot interaction studies through the lens of bibliometric analysis

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Abstract

Since chatbots have been integrated into people’s lives from various industries, human-chatbot interaction has begun to attract widespread attention in academia. Still, contributions to the systematic mapping of this field are lacking. This paper is the first to present a systematic review of human-chatbot interaction research using bibliometric analysis. A total of 3013 publications (from the year 2000 to 2022) from Web of Science database were analysed to uncover the current status and research trend in human-chatbot interaction domain. The analysis focused on temporal and geographical distribution of these publications and identified the most influential publication outlets, institutes, articles, and authors. Additionally, keyword co-occurrence analysis and temporal distribution of keywords showed that primary topics in human-chatbot interaction mainly concentrate on techniques and methods in chatbot systems design, extensive applications in various fields, user experience and emotional expression, humanizing features design, and perceived privacy risk and ethics. Finally, this paper sheds light on a comprehensive understanding of human-chatbot interaction research and provides directions for future research in this field.

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Acknowledgements

Credit should be given to every research participant who have made great efforts to accomplish this paper. We are grateful to the China shcolarship council for providing support to the first author. Moreover, we are pleased to extend our gratitude to editors and reviewers for their valuable comments.

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 72071035).

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, School of Business Administration, Northeastern University, NO. 195, Chuangxin Road, Hunnan District, Shenyang, 110167, China

    Jiahao Chen, Fu Guo & Zenggen Ren

  2. School of Mechanical Engineering, Shenyang University of Technology, Shenyang, 110167, China

    Xueshuang Wang

  3. Research Group of Human Technology Interaction, Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands

    Jaap Ham

Authors
  1. Jiahao Chen
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  2. Fu Guo
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  3. Zenggen Ren
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Contributions

JC: Conceptualization, Methodology, Data curation, Data curation, Formal analysis, Investigation, Project administration, Writing- Original draft preparation, Visualization, Writing—Review & Editing. FG: Conceptualization, Methodology, Funding acquisition, Writing—Review & Editing, Supervision. ZR: Methodology, Formal analysis, Validation, Visualization. XW: Methodology, Formal analysis, Writing—Review & Editing. JH: Conceptualization, Review & Editing.

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Correspondence to Fu Guo.

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Appendix

Appendix

Top 26 publications with the most citations.

#

Author(s)

Year

Title

Source title

TGC

TLC

1

Fitzpatrick, K. K., Darcy, A., & Vierhile, M

2017

Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial

JMIR Mental Health

387

123

2

Graesser, A. C., Chipman, P., Haynes, B. C., & Olney, A

2005

AutoTutor: An intelligent tutoring system with mixed-initiative dialogue

IEEE Transactions on Education

280

27

3

Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., … & Coiera, E

2018

Conversational agents in healthcare: a systematic review

Journal of The American Medical Informatics Association

240

87

4

Bickmore, T., Gruber, A., & Picard, R

2005

Establishing the computer-patient working alliance in automated health behavior change interventions

Patient Education and Counseling

235

59

5

Hill, J., Ford, W. R., & Farreras, I. G

2015

Real conversations with artificial intelligence: A comparison between human–human online conversations and human-chatbot conversations

Computers in Human Behavior

190

84

6

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Chen, J., Guo, F., Ren, Z. et al. Human-chatbot interaction studies through the lens of bibliometric analysis. Univ Access Inf Soc (2023). https://doi.org/10.1007/s10209-023-01058-y

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