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International Conference on Human-Computer Interaction

HCII 2021: HCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture pp 439–457Cite as

Accompanying Reflection Processes by an AI-Based StudiCoachBot: A Study on Rapport Building in Human-Machine Coaching Using Self Disclosure

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13096))

Abstract

The establishment of a working alliance, which in human-machine interaction is comparable to the establishment of rapport, is considered a central factor for successful coaching. The goal of this study is to gain insights into how such a relationship can be established between a coaching chatbot and students. One factor considered to establish rapport is the concept of self disclosure. To this end, the self disclosure of a coaching chatbot is examined as a factor influencing student self disclosure and perceived rapport. An interaction script for coaching via chatbot on the topic of exam anxiety was developed and tested with students of the TH Köln/University of Applied Sciences in a Wizard-of-Oz experiment. Following the coaching, a survey and an interview took place. The results show that students disclosed themselves to the chatbot and built a relationship with it. However, contrary to the assumption, more self disclosure and rapport was found on average in the control group (information disclosure by the chatbot) than in the experimental group (self disclosure by the chatbot). This suggests that general information disclosure seems to be sufficient and tends to generate even more self disclosure and rapport among students than chatbot self disclosure. The results also suggest that chatbot coaching in its current form is already well received by students and helps them reflect on their exam anxiety. By having the coaching done by a machine, students find it easy to open up. There is a great willingness to use it.

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Notes

  1. 1.

    Z.B. Woebot Health: https://woebothealth.com/ (10.06.2021).

  2. 2.

    Z.B. Coachbot von Saberr: https://www.saberr.com/ (10.06.2021).

  3. 3.

    Z.B. Coach Sally von Sklls: https://sklls.de/sally_personalentwicklung (10.06.2021).

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Author information

Authors and Affiliations

  1. TH Köln/University of Applied Sciences, Cologne, Germany

    Vanessa Mai, Annika Wolff, Anja Richert & Ivonne Preusser

Authors
  1. Vanessa Mai
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  2. Annika Wolff
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  3. Anja Richert
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  4. Ivonne Preusser
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Corresponding author

Correspondence to Vanessa Mai .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Coventry University, Coventry, UK

    Don Harris

  3. Safety and Accident Investigation Centre, Cranfield University, Cranfield, UK

    Wen-Chin Li

  4. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  5. Design Interactive, Inc., Orlando, FL, USA

    Cali M. Fidopiastis

  6. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  7. Tsinghua University, Beijing, China

    Qin Gao

  8. Chongqing University, Chongqing, China

    Jia Zhou

  9. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus

    Panayiotis Zaphiris

  10. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

  11. Soar Technology Inc., Orlando, FL, USA

    Robert A. Sottilare

  12. MMS, Fraunhofer FKIE, Wachtberg, Nordrhein-Westfalen, Germany

    Jessica Schwarz

  13. Industrial Design, Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Matthias Rauterberg

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Mai, V., Wolff, A., Richert, A., Preusser, I. (2021). Accompanying Reflection Processes by an AI-Based StudiCoachBot: A Study on Rapport Building in Human-Machine Coaching Using Self Disclosure. In: Stephanidis, C., et al. HCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture. HCII 2021. Lecture Notes in Computer Science(), vol 13096. Springer, Cham. https://doi.org/10.1007/978-3-030-90328-2_29

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  • DOI: https://doi.org/10.1007/978-3-030-90328-2_29

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