Small Talk Conversations and the Long-Term Use of Chatbots in Educational Settings – Experiences from a Field Study
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Chatbots are taken up in application areas such as customer service, health, education, and office work.
“Chatbots are increasingly becoming important gateways to digital services and information—taken up within domains such as customer service, health, education, and work support.”
From Future directions for chatbot research: An interdisciplinary research agenda (2021) · cites this paper as [53]
Chatbots may improve access to health care services, support health-promoting behavior change, and supplement educational programs.
“Chatbots may improve access to health care services (e.g. [105]) and support health-promoting behavior change (e.g. [85]), and supplement educational programs [53].”
From Future directions for chatbot research: An interdisciplinary research agenda (2021) · cites this paper as [53]
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Unleashing the Potential of Chatbots in Education: A State-Of-The-Art Analysis
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Self-citationHobert, S., & von Wolff, R. M. (2019) · Journal of the Association for Information Systems · Cited by 56 · see citing works
Self-citationUsing Watson for Enhancing Human-Computer Co-Creativity.
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Are We There Yet? - A Systematic Literature Review on Chatbots in Education
Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M., & Drachsler, H. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.654924 · Cited by 557 · see citing works
“An example for this can be seen in the publication of (Hobert, 2020), which researches the importance of small talk abilities of chatbots in educational settings.”
BackgroundFuture directions for chatbot research: An interdisciplinary research agenda
Følstad, A., Araujo, T., Law, E. L.-C., Brandtzaeg, P. B., Papadopoulos, S., Reis, L., Baez, M., Laban, G., McAllister, P., Ischen, C., et al. (2021) · Computing · doi:10.1007/s00607-021-01016-7 · Cited by 247 · see citing works
“Chatbots are currently taken up in application areas as diverse as customer service [1], health [105], education [53], and office work [78].”
BackgroundSelf-citationA longitudinal study of human–chatbot relationships
Skjuve, M., Følstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102903 · Cited by 253 · see citing works
Kumar, J. A. (2021) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-021-00302-w · Cited by 183 · see citing works
- Authors
- Hobert, S., & Berens, F.
- Affiliations
- University of Göttingen (DE)
- Corresponding author
- Hobert, Sebastian
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 260-272
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3000630932
- Cited by
- 24
- References
- 14
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1 · 2023: 9 · 2022: 3 · 2021: 6 · 2020: 1
- FWCI
- 1.81
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- small talk, chatbots, student engagement, dialogue analysis, university students
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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