Cited by 154Social Robot Interaction and HRIDigital Mental Health InterventionsAI in Service Interactions

The DOI matches its Crossref record; 75 of the 77 references it cites were found in a registry or an index.

When the Social Becomes Non-Human: Young People's Perception of Social Support in Chatbots

Open access
Bae Brandtzæg, Petter Bae, Skjuve, Marita, Kristoffer Dysthe, Kim Kristoffer, Følstad, Asbjørn·2021·Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Abstract

Although social support is important for health and well-being, many young people are hesitant to reach out for support. The emerging uptake of chatbots for social and emotional purposes entails opportunities and concerns regarding non-human agents as sources of social support. To explore this, we invited 16 participants (16–21 years) to use and reflect on chatbots as sources of social support. Our participants first interacted with a chatbot for mental health (Woebot) for two weeks. Next, they participated in individual in-depth interviews. As part of the interview session, they were presented with a chatbot prototype providing information to young people. Two months later, the participants reported on their continued use of Woebot. Our findings provide in-depth knowledge about how young people may experience various types of social support—appraisal, informational, emotional, and instrumental support—from chatbots. We summarize implications for theory, practice, and future research.

Overview

Integrity signals

Registry

Crossref · 10.1145/3411764.3445318

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 77 references

Research works printed but not linked: 5

  1. Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu and Bing Liu. 2017. Emotional chatting machine: Emotional conversation generation with internal and external memory. arXiv preprint arXiv:1704.01074 (May 2017). Retrieved June 22, 2020, from https://www.arxiv-vanity.com/papers/1704.01074/ · arXiv
  2. Endang Wahyu Pamungkas. 2019. Emotionally-aware chatbots: A survey. arXiv preprint arXiv:1906.09774 (Jul. 2019). Retrieved June 2, 2020, from https://arxiv.org/pdf/1906.09774.pdf · arXiv
  3. James S. House Robert L. Kahn J.D. Mcleod and D. Williams. 1985. Measures and concepts of social support. In Cohen S. & Syme S.L. (Eds.) Social Support and Health (pp. 83–108). Academic New York NY.
  4. 10.17705/1pais.12201 · DOI · Paper page
  5. 10.4324/9781315015484 · DOI · Paper page

Cited by

Sorted by citations

See all 154

Metadata

Authors
Bae Brandtzæg, P. B., Skjuve, M., Kristoffer Dysthe, K. K., & Følstad, A.
Affiliations
  • University of Oslo, Norway
  • SINTEF Digital (NO)
  • SINTEF (NO)
Venue
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2021-05-06
Pages
1-13
OpenAlex
W3162547504
Cited by
153
References
77
Citations by year
2026: 26 · 2025: 44 · 2024: 36 · 2023: 27 · 2022: 16 · 2021: 4
FWCI
35.43
Type
conference paper
Language
en
Open access
Locations
  • CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
Funders
Norwegian Research Council (262848)
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
Keywords
chatbots, social support, youth, Woebot, mental health, non-human actors, appraisal support, information support, emotional support, instrumental support, help-seeking, chatbot prototype, well-being

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review