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 accessAbstract
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
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Justification for focusing on the young population is rooted in prior research demonstrating distinctive preferences, attitudes, and utilization patterns compared to adults17,18.”
From Use of automated conversational agents in improving young population mental health: a scoping review (2024) · cites this paper as [18]
In the citing paper
“They use these systems for emotional, informational, and appraisal support and treat them as non-judgmental spaces to organize feelings and reflect on concerns [17].”
From Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives (2026) · cites this paper as [17]
In the citing paper
“Young people describe chatbots as emotionally supportive, non-judgmental, and safe for disclosure, which encourages deeper feelings of connection [18].”
From Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives (2026) · cites this paper as [18]
Citations
Cites
Lecture Notes in Computer Science 1205
(1999) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir.1999.04926fae.001 · Cited by 39,228
Bowling alone: the collapse and revival of American community
(2000) · Choice Reviews Online · doi:10.5860/choice.38-2454 · Cited by 28,723
Emerging adulthood: A theory of development from the late teens through the twenties.
Arnett, J. J. (2000) · American Psychologist · doi:10.1037/0003-066x.55.5.469 · Cited by 16,843
Social support as a moderator of life stress
Cobb, S. (1976) · Psychosomatic Medicine · doi:10.1097/00006842-197609000-00003 · Cited by 6,936 · cited 1×
“Cobb [23] states that emotional support involves, among other things, “information leading the subject to believe that he is care for and loved” (p.”
BackgroundSohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., Kerwan, A., Al‐Jabir, A., Iosifidis, C., & Agha, R. (2020) · International Journal of Surgery · doi:10.1016/j.ijsu.2020.02.034 · Cited by 6,269 · cited 1×
“health misinformation online and serve as a tool for young people searching for help online [6, 43].”
MethodWhiteford, H. A., Degenhardt, L., Rehm, J., Baxter, A. J., Ferrari, A. J., Erskine, H. E., Charlson, F. J., Norman, R. E., Flaxman, A. D., Johns, N., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61611-6 · Cited by 6,006
Alone together: why we expect more from technology and less from each other
Fernández Pedemonte, D. (2011) · Choice Reviews Online · doi:10.5860/choice.48-7239 · Cited by 4,608
Ross, C. E., Cohen, S., & Syme, S. L. (1986) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2071725 · Cited by 3,927
Ferrari, A. J., Charlson, F. J., Norman, R. E., Patten, S. B., Freedman, G., Murray, C. J. L., Vos, T., & Whiteford, H. A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001547 · Cited by 3,115
Naturalistic inquiry and the saturation concept: a research note
Bowen, G. A. (2008) · Qualitative Research · doi:10.1177/1468794107085301 · Cited by 2,749 · cited 1×
“to be regarded as a sufcient number of participants in similar interview studies [72], particularly as we reached data saturation [73].”
Result
Flagged first, then by citations
2 of the 77 references couldn’t be matched to a known paper.
Research works printed but not linked: 5
- 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
- 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
- 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.
- 10.17705/1pais.12201 · DOI · Paper page
- 10.4324/9781315015484 · DOI · Paper page
Cited by
Sorted by citations
Items 101–154 of 154
AI aversion? Effects of author disclosure on young people’s perceptions of mental health advice
Brandtzæg, P. B., Skjuve, M. B., & Følstad, A. (2026) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2026-2-1 · Cited by 4
“Such potential aversive attitudes toward AI should also be contrasted with the previously documented benefits of AI-based systems for mental health support, including perceived anonymity and the absence of social stigma and feelings of judgment (Brandtzæg et al., 2021).”
InfluentialSelf-citationZhao, Y., Li, Y., Chen, Y., & Sun, Y. (2025) · Aslib Journal of Information Management · doi:10.1108/ajim-06-2024-0469 · Cited by 3
CUI@CSCW: Inclusive and Collaborative Child-facing Voice Technologies
Garg, R., Porcheron, M., Clark, L., Cowan, B. R., Følstad, A., Zhang, B., Paay, J., & Luger, E. A. (2021) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3462204.3481720 · Cited by 3
“Recently scholars have started to explore how CUIs can help children by providing social support [4] or by helping children develop emotional intelligence including the ability to formulate alternate actions to address their own negative behavior [23].”
Self-citation“How Can I Help You?”: User Perceptions of Privacy in Retail Chat Agents
Dev, J., & Dev, S. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3585796 · Cited by 3
“In contrast to [4], none of the participants in our study mentioned that they do not care about their data, perhaps due to the ability of retail chatbots to conduct transactions on their behalf.”
ResultThe Depressed Teenage Brain: Chatbot Psychoeducation
Dysthe, K. K., Røssberg, J. I., Brandtzæg, P. B., Skjuve, M. B., Følstad, A., Haavet, O. R., & Klovning, A. (2023) · Mayo Clinic Proceedings Digital Health · doi:10.1016/j.mcpdig.2023.03.008 · Cited by 3
“11,14 The application of such technology has been shown to be helpful in adolescents.”
Self-citation王, 袁., 朱, 孟., & 陈, 思. (2023) · Global Journal of Media Studies · doi:10.26599/gjms.2023.9330056 · Cited by 3
Jáuregui, D. A. G., Dollack, F., & Perusquía-Hernández, M. (2021) · International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) · doi:10.1109/aciiw52867.2021.9666320 · Cited by 3
AI-Individualism: Understanding New Sociality in the Age of Social Artificial IntelligencePreprint
Brandtzæg, P. B., Skjuve, M. B., & Følstad, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4804274 · Cited by 3
Self-citationSkjuve, M. B., Følstad, A., Dysthe, K. K., Brænden, A., Boletsis, C., & Brandtzæg, P. B. (2025) · Tidsskrift for velferdsforskning · doi:10.18261/tfv.27.4.2 · Cited by 2
Self-citationShank, D. B. (2025) · Springer eBooks · doi:10.1007/978-3-031-86061-4_11 · Cited by 2
Zia, A. (2026) · Current Psychology · doi:10.1007/s12144-025-08768-x · Cited by 2
“A study found that users preferred chatbots with a human-like personality and perceived them as having a higher social awareness (Bae Brandtzæg et al. 2021).”
Friend or Therapist? A Systematic Literature Review on Chatbots and Mental Health in Young People
Hashmati, N., Skoog, T., Obaid, M., & Eriksson, T. (2026) · doi:10.1145/3780045.3780052 · Cited by 3
Li, Q., Geng, H., Hu, X., Pan, D., Liu, H., Li, Y., & Guo, J. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1810097 · Cited by 4
“Qualitative work with users of companion chatbots reports perceived empathy, companionship and social support, often coupled with awareness that the relationship is asymmetric and commercially mediated (Ta et al., 2020; Brandtzaeg et al., 2021).”
InfluentialAnalysis of the application of facial expression recognition in psychotherapy
Wan, S. (2023) · Applied and Computational Engineering · doi:10.54254/2755-2721/4/20230488 · Cited by 2
Technologies for Hedonic Aspects Evaluation in Text-based Chatbots: A Systematic Mapping Study
Souza, A., Mariano, P. A. D. L., Guerino, G. C., Chaves, A. P., & Valentim, N. (2023) · Brazilian Symposium on Human Factors in Computing Systems (IHC) · doi:10.1145/3638067.3638089 · Cited by 2
Implementation of AI Chatbot as an Interactive Learning Medium on Accounting Lessons in SMK
Khairunisa, T., & Suyatmini, S. (2024) · Ideguru Jurnal Karya Ilmiah Guru · doi:10.51169/ideguru.v9i3.1059 · Cited by 4
“Chatbot's working mechanisms make users pretend to be socially familiar with Chatbots (Brandtzaeg et al., 2021).”
BackgroundLinnemann, G. A., & Reimann, L. (2024) · Preprints.org · doi:10.20944/preprints202406.1586.v1 · Cited by 2
Xu, T., Cook, S., Semaan, B., & Voida, S. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713669 · Cited by 1
“A total of 𝑛 = 14 articles explore this expressive practice [11, 14, 21, 30, 33, 68, 69, 71, 94, 102, 111, 122, 140, 146], with 𝑛 = 11 focusing solely on digital text modalities applied across social media platforms (e.g., [68, 71, 122, 146]), chatbots [11, 33], text messaging systems [21], and…”
InfluentialSchmidmaier, M., Schöberl, L., Rupp, J., & Mayer, S. (2025) · Mensch und Computer (MuC) · doi:10.1145/3743049.3743082 · Cited by 2
Lorca, J. G. (2025) · Política y Sociedad · doi:10.5209/poso.95897 · Cited by 2
Adolescents’ Experience with a Conversational Agent for Depression
Testerman, A., Bharat, A., Patterson, T., & Bunge, E. L. (2026) · Information · doi:10.3390/info17020204 · Cited by 1
“The second study focuses on Woebot, a CBT-based CA developed to deliver support for various psychological challenges for emerging adults aged 16 to 21 [10].”
Hwang, L. J., Li, H., & Feng, B. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2633768 · Cited by 1
Liu, X., Heger, J., Yu, I., & Marcu, G. (2026) · International Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790798 · Cited by 1
“…smoking behaviors turn to online strangers for support [189]; mothers with postpartum depression seek forums to locate stranger peer support online [133]; Chinese teenagers and young adults using chatbots which mimic peer behavior to enable supportive, introspective interactions [15]) ( 𝑛 = 88, 48”
Designing a mobile chatbot-based learning journaling system for intrinsic motivation and engagement
Scheu, S., Loeffler, S. N., & Maedche, A. (2026) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-026-00589-7 · Cited by 1
Monselise, M., Young, J., Song, M., Brodfuehrer, B., & Razi, A. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2664699 · Cited by 1
Jiang, T., Wang, Y., Wang, C., & Zhou, Z. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1858405 · Cited by 1
“With the development of the Internet, big data algorithms, and generative artificial intelligence (GenAI), digital technology has shifted from serving merely as a tool to becoming an essential instrument on which people depend.”
InfluentialAI in Healthcare: Malignant or Benign?
Lloyd, N., & Khuman, A. S. (2022) · Brain informatics and health · doi:10.1007/978-981-19-5272-2_1 · Cited by 1
Engagement of Parents with the Aurora Child Health Chatbot: A Conversation Log Analysis Study
Liebeatrau, D., Densmore, M., & Nunes, F. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2492805 · Cited by 1
“Moreover, our study highlighted that parents tend to utilise the chatbot during critical parenting moments, such as when they are facing challenges with their child’s sleep or feeding, emphasizing the importance of delivering timely advice when it is most needed (Brandtzæg et al., 2021).”
Latikka, R., Bergdahl, J., Savolainen, I., Celuch, M., & Oksanen, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4806287 · Cited by 1
A Systematic Literature Review and Multi-Stakeholder Ethical Framework for Social ChatbotsPreprint
Piispanen, J.-R., Myllyviita, T., Vakkuri, V., & Rousi, R. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5220728 · Cited by 1
Should Conversational Agents Care About Our Gender Identity?
Cocchi, A., Bosse, T., & van Pinxteren, M. M. E. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-54975-5_9
Tax and Welfare Chatbots Used by Young Adults with Dyslexia: A Usability Study
Verne, G., Berget, G., Lilleby, A., & Marstein, S. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60875-9_23
AI Individualism: Reshaping Social Structures in the Age of Social Artificial IntelligencePreprint
Brandtzæg, P. B., Skjuve, M. B., & Følstad, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4889737
Self-citationPika: Designing a Social-Support Agent to Improve Drivers' Experience in Gig WorksPreprint
Xiang, W., Chen, X., Guo, T., Zhou, M., & Chen, S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5011630
Xu, S. (2025) · Mental Health and Digital Technologies · doi:10.1108/mhdt-01-2025-0004
Geng, S., Shimojima, G., Yang, C.-L., Sramek, Z., Norihama, S., Takano, A., Hosio, S. J., & Yatani, K. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3711103
“This suggests that our findings about the contagious nature of reduced morale in group therapy are relevant to other contexts as well, although further research is naturally warranted.”
Cliffe, B., Biddle, L., Gore-Rodney, J., & Linton, M.-J. (2025) · Digital Society · doi:10.1007/s44206-025-00202-w
“…it contrasts to other research suggesting that young people prefer more ‘human-like’ interactions with AI (Koulouri et al., 2022; Sia et al., 2021) and that young people feel chatbots can exhibit empathy and provide comfort, albeit not to the extent that a human can (Bae Brandtzæg et al., 2021).”
Aldkheel, A., & Zhou, L. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5400010
Lee, Y., Yamashita, N., & Huang, Y. (2024) · International Symposium of Chinese CHI (Chinese CHI) · doi:10.1145/3758871.3758882
Determinants of AI-enabled customer experience across healthcare sectors: a decade in review
Pramodh, K., Nayak, S., Chavadi, C. A., & Pai, Y. P. (2025) · Cogent Business & Management · doi:10.1080/23311975.2025.2590241
Huang, N. M., & Ho, S. S. (2025) · Science Communication · doi:10.1177/10755470251398722 · Cited by 1
Human vs. AI Facilitation in Peer Support Groups: an Experimental Study on Exam Anxiety
Kuhail, M. A., Shuhaiber, A., Mrabet, J., & Thomas, J. (2026) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-026-00617-3
Núñez-Pacheco, C., Sanches, P., Benjamin, J. J., Nicenboim, I. P., Prpa, M., Alaoui, S. F., & Rennerova, M. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3778774
“Examples of this research includes the use of LLMs to co-interpret dreams [8], LLM-enhanced journaling tools [29, 34, 41], or chatbots [3] in therapeutic [51], educational [36], or corporate settings to support professional development and self-reflection [2, 35].”
Park, Y., Song, H., & Kim, D. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3799087
The Hidden Desires: Exploring Chinese Women's Erotic Role-Play with AI Chatbots
Zeng, J., Wu, M., & Lan, X. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791580 · Cited by 1
Li, Z., Cai, C., Wu, L., & Wang, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1786901 · Cited by 1
“…are preferred by college students with social anxiety due to their safety, non-judgmental nature, anonymity, and round-the-clock availability, thereby facilitating the self-disclosure of sensitive information (Bae Brandtzæg et al., 2021; Liu et al., 2025; Meng and Dai, 2021; Skjuve et al., 2021).”
Choi, J., & Toma, C. L. (2026) · Communication Research · doi:10.1177/00936502261466012 · Cited by 1
Cui, W., Yang, C.-L., & Narumi, T. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816274
Lapointe, V. A., Calazana, F., Dubé, S., Neppel, R.-M., Blum, S., & Lafortune, D. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100384
AI chatbot usage may increase mental health help-seeking among college-aged individuals
Tran, M. P. N., & Walker, D. C. (2026) · Journal of American College Health · doi:10.1080/07448481.2026.2727947
Zhu, Z., Song, T., Lim, J., Yang, C.-L., & Lee, Y. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3816998
“However, prior research also suggests that privacy concerns may not be the primary barrier, as most users report no serious privacy worries [7].”
InfluentialLatif, M. S., Li, G., Wang, J., & Shahzad, M. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2731487
Shen, X., Chen, S., & Lee, S. M. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2740881
Rijhwani, V., Edwards, C. C., Edwards, A., Lin, X., & Abendschein, B. (2026) · SAGE Open · doi:10.1177/21582440261496513
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
- hybrid
- doi.org
- Licence
- 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