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].”
ResultBowling Alone: The Collapse and Revival of American Community
Shapiro, R. Y. (2000) · Political Science Quarterly · doi:10.2307/2657613 · Cited by 2,741
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730 · cited 1×
“Social chatbots designed to deliver cognitive-behavioral therapeutic (CBT) have demonstrated efcacy in treating depression and anxiety in young people [56].”
BackgroundAuerbach, R. P., Collaborators, W. W.-I., Mortier, P., Bruffaerts, R., Alonso, J., Benjet, C., Cuijpers, P., Demyttenaere, K., Ebert, D. D., Green, J. G., et al. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000362 · Cited by 2,522 · cited 1×
“For these young people, the consequences of insufcient information, preventive eforts, and early interventions can be detrimental [35].”
BackgroundKim-Cohen, J., Caspi, A., Moffitt, T. E., Harrington, H., Milne, B. J., & Poulton, R. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.7.709 · Cited by 2,025 · cited 1×
“75 percent of major mental disorders have their onset prior to the age of 25 [34].”
BackgroundDoes Sample Size Matter in Qualitative Research?: A Review of Qualitative Interviews in is Research
Marshall, B., Cardon, P., Poddar, A., & Fontenot, R. (2013) · Journal of Computer Information Systems · doi:10.1080/08874417.2013.11645667 · Cited by 1,636
Self-disclosure and liking: A meta-analytic review
Collins, N. L., & Miller, L. C. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.116.3.457 · Cited by 1,621
Looking at, looking up or keeping up with people?: motives and use of facebook
Joinson, A. N. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357213 · Cited by 1,393 · cited 2×
“Based on the results of previous Facebook research [70], it would seem that users are changing the default privacy settings”
BackgroundResultWhen and how do young people seek professional help for mental health problems?
Rickwood, D. J., Deane, F. P., & Wilson, C. J. (2007) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2007.tb01334.x · Cited by 1,195
Odgers, C. L., & Jensen, M. R. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13190 · Cited by 1,189 · cited 1×
“social media platforms [51, 70] hosting chatbots, such as Messenger, Kik, and Telegram.”
BackgroundTaylor, S. E. (2012) · The Oxford Handbook of Health Psychology · doi:10.1093/oxfordhb/9780195342819.013.0009 · Cited by 993 · cited 1×
“, mental health specialists or community organizations) [36].”
BackgroundSocial Support, Stressful Life Events, and Illness: A Model and an Empirical Test
Lin, N., Ensel, W. M., Simeone, R. S., & Kuo, W. H. (1979) · Journal of Health and Social Behavior · doi:10.2307/2136433 · Cited by 902 · cited 1×
“Social support is important for the health and well-being of young people in their emerging adulthood [1] and can be defned as “support accessible to an individual through social ties to other individuals, groups, and the larger community” [2].”
BackgroundRise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII)
Sundar, S. S. (2020) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmz026 · Cited by 871 · cited 1×
“When exploring chatbots as a source of social support, it is important to recognize that human–machine relationships can have numerous social and psychological implications [19].”
BackgroundSociability, Interpersonal Relations, and the Internet: Reconciling Conflicting Findings
NIE, N. H. (2001) · American Behavioral Scientist · doi:10.1177/00027640121957277 · Cited by 803
Protecting the psychological health of children through effective communication about COVID-19
Dalton, L., Rapa, E., & Stein, A. (2020) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(20)30097-3 · Cited by 655 · cited 2×
“Recently, the COVID-19 epidemic has resulted in increased mental health distress among young people and new needs for access to social support online [8, 9].”
BackgroundSocial Support and Depressed Mood: A Structural Analysis
Lin, N., Ye, X., & Ensel, W. M. (1999) · Journal of Health and Social Behavior · doi:10.2307/2676330 · Cited by 618
Receiving social support online: implications for health education
White, M. (2001) · Health Education Research · doi:10.1093/her/16.6.693 · Cited by 606 · cited 1×
“online through apps and sites, such as Instagram [11, 37], Facebook [38], online groups [39], and health forums [40].”
BackgroundUser Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis
Ta, V., Griffith, C., Boatfield, C., Wang, X., Civitello, M., Bader, H., DeCero, E., & Loggarakis, A. (2020) · Journal of Medical Internet Research · doi:10.2196/16235 · Cited by 561 · cited 7×
“[17] reports interesting initial fndings on social support.”
BackgroundMethodInfluentialForest, A. L., & Wood, J. V. (2012) · Psychological Science · doi:10.1177/0956797611429709 · Cited by 547
Chatbots and the new world of HCI
Følstad, A., & Brandtzæg, P. B. (2017) · interactions · doi:10.1145/3085558 · Cited by 520 · cited 3×
“Chatbots may also present risks, such as biases, inadequate and failed responses [21], and privacy issues [6, 22], all of which can nega-”
BackgroundSelf-citationYoung People’s Online Help-Seeking and Mental Health Difficulties: Systematic Narrative Review
Pretorius, C., Chambers, D., & Coyle, D. (2019) · Journal of Medical Internet Research · doi:10.2196/13873 · Cited by 506
Zhang, X., Liu, S., Xing, C., Wang, L., Gao, B., & Zhu, Q. (2017) · Information & Management · doi:10.1016/j.im.2017.11.003 · Cited by 440 · cited 1×
“They also ofer an anonymous and private space to participate in self-disclosure [54].”
BackgroundSocial support and social structure
House, J. S. (1987) · Sociological Forum · doi:10.1007/bf01107897 · Cited by 412 · cited 1×
“studying the quantity and type of social relationships, networks, and the type of support in relation to each other to identify the level of social support gained from diferent networks [28].”
BackgroundCan online reviews reveal a product's true quality?
Hu, N., Pavlou, P. A., & Zhang, J. (2006) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/1134707.1134743 · Cited by 393 · cited 6×
“A few exceptions are the studies conducted by Kim [61] and Ta et al. [13].”
BackgroundResultInfluentialTwenge, J. M. (2020) · Psychiatric Research and Clinical Practice · doi:10.1176/appi.prcp.20190015 · Cited by 392
Sensitive Self-disclosures, Responses, and Social Support on Instagram
Andalibi, N., Ozturk, P., & Forte, A. (2017) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2998181.2998243 · Cited by 366 · cited 3×
“All the participants had extensive experience with social media, such as Snapchat, Facebook, Telegram, and Instagram.”
BackgroundZhang, R. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.05.043 · Cited by 351
An experimental study of public trust in AI chatbots in the public sector
Aoki, N. (2020) · Government Information Quarterly · doi:10.1016/j.giq.2020.101490 · Cited by 350 · cited 1×
“are widely speculated about, and empirical evidence remains rare [58].”
BackgroundUnderstanding the new digital divide—A typology of Internet users in Europe
Brandtzæg, P. B., Heim, J., & Karahasanović, A. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.11.004 · Cited by 348
Do online mental health services improve help-seeking for young people? A systematic review
Kauer, S. D., Mangan, C., & Sanci, L. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3103 · Cited by 339 · cited 1×
“Studies have shown that young people report going online frequently to seek out health information [44].”
Background"I Hear You, I Feel You": Encouraging Deep Self-disclosure through a Chatbot
Lee, Y.-C., Yamashita, N., Huang, Y., & Fu, W. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376175 · Cited by 339 · cited 2×
“A recent study found that chatbots which provided self-disclosure had a reciprocal efect, promoting deeper participant self-disclosure [64].”
BackgroundSocial Networking Sites: Their Users and Social Implications - A Longitudinal Study
Brandtzæg, P. B. (2012) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2012.01580.x · Cited by 324
Users' experiences with chatbots: findings from a questionnaire study
Følstad, A., & Brandtzæg, P. B. (2020) · Quality and User Experience · doi:10.1007/s41233-020-00033-2 · Cited by 324 · cited 1×
“Chatbots are machine agents with which users interact through natural language dialogue (text, speech, or both) [12].”
BackgroundSelf-citationJessica Vitak, B., & Ellison, N. B. (2012) · New Media & Society · doi:10.1177/1461444812451566 · Cited by 294 · cited 1×
“Previous research on social media has voiced concerns regarding the use of such platforms for information-seeking purposes due to privacy issues [68].”
BackgroundA New Application of Social Impact in Social Media for Overcoming Fake News in Health
Pulido, C., Ruiz-Eugenio, L., Redondo-Sama, G., & Villarejo-Carballido, B. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17072430 · Cited by 271 · cited 1×
“media are increasingly polluted with misinformation, which can lead to the distribution of harm [42].”
BackgroundEffectiveness of an Empathic Chatbot in Combating Adverse Effects of Social Exclusion on Mood
de Gennaro, M., Krumhuber, E. G., & Lucas, G. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.03061 · Cited by 265 · cited 2×
“Research on chatbots also indicates a greater level of self-disclosure compared to communicating with humans because chatbots do not experience emotions or make judgments [57].”
BackgroundTransgender adolescents’ uses of social media for social support
Selkie, E., Adkins, V., Masters, E., Bajpai, A., & Shumer, D. (2020) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.08.011 · Cited by 256 · cited 1×
“Social support is the perception that one has access to care and help through relevant social others [26] such as family, friends, fellow students or colleagues, or therapists.”
BackgroundFrison, E., & Eggermont, S. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.070 · Cited by 244 · cited 2×
“A recent review demonstrated that, under the right conditions, online services can provide useful instrumental and informational social support [46].”
BackgroundFrison, E., & Eggermont, S. (2020) · Communication Research · doi:10.1177/0093650215617506 · Cited by 239 · cited 6×
“All the participants had extensive experience with social media, such as Snapchat, Facebook, Telegram, and Instagram.”
BackgroundInfluentialLiving Networked On and Offline
Wellman, B., & Hampton, K. N. (1999) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2655535 · Cited by 236 · cited 1×
“For instance, online support and support communities provide accessibility in terms of time and space, encouraging connections through the weak ties, which may result in better access to diverse information and experts [53].”
Background(2011) · Choice Reviews Online · doi:10.5860/choice.48-4167 · Cited by 235 · cited 1×
“Social support is important for the health and well-being of young people in their emerging adulthood [1] and can be defned as “support accessible to an individual through social ties to other individuals, groups, and the larger community” [2].”
BackgroundSocial support in a wired world: Use of online mental health forums in Norway
Kummervold, P. E., Gammon, D., Bergvik, S., Johnsen, J.-A. K., Hasvold, T., & Rosenvinge, J. H. (2002) · Nordic Journal of Psychiatry · doi:10.1080/08039480252803945 · Cited by 223 · cited 1×
“online through apps and sites, such as Instagram [11, 37], Facebook [38], online groups [39], and health forums [40].”
BackgroundDon’t ask if artificial intelligence is good or fair, ask how it shifts power
Kalluri, P. (2020) · Nature · doi:10.1038/d41586-020-02003-2 · Cited by 213
Online social support for young people: Does it recapitulate in-person social support; can it help?
Cole, D. A., Nick, E. A., Zelkowitz, R. L., Roeder, K. M., & Spinelli, T. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.058 · Cited by 208 · cited 1×
“Some research, however, posits that online social support is, to an extent, independent of in-person social support [52].”
BackgroundLee, M., Ackermans, S., van As, N., Chang, H.-W., Lucas, E., & IJsselsteijn, W. A. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300932 · Cited by 208 · cited 1×
“Such chatbots may help people who are experiencing troubles and can be interacted with anywhere and anytime [6] while providing comforting and caring efects [55].”
BackgroundEmerging adulthood(s): The cultural psychology of a new life stage.
Arnett, J. J. (2011) · Cited by 208
Gender differences on Internet cancer support groups.
Klemm, P. R., Hurst, M., Dearholt, S., & Trone, S. R. (1999) · PubMed · Cited by 200
When Personal Tracking Becomes Social
Chung, C.-F., Agapie, E., Schroeder, J., Mishra, S. R., Fogarty, J. A., & Munson, S. A. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025747 · Cited by 190 · cited 4×
“All the participants had extensive experience with social media, such as Snapchat, Facebook, Telegram, and Instagram.”
BackgroundInfluentialHardin, C. D., & Conley, T. D. (2013) · Psychology Press eBooks · doi:10.4324/9781410605887-6 · Cited by 147 · cited 1×
“establish and develop social relationships, which is a fundamental human requirement [77].”
BackgroundRising suicide rates among adolescents in England and Wales
Bould, H., Mars, B., Moran, P., Biddle, L., & Gunnell, D. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31102-x · Cited by 146
(2018) · Cited by 116
Older adults’ perceptions and experiences of online social support
Pfeil, U., Zaphiris, P., & Wilson, S. (2009) · Interacting with Computers · doi:10.1016/j.intcom.2008.12.001 · Cited by 112
Designing Mental Health Technologies that Support the Social Ecosystem of College Students
Lattie, E. G., Kornfield, R., Ringland, K. E., Zhang, R., Winquist, N. W., & Reddy, M. C. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376362 · Cited by 96 · cited 2×
“This is a distinct period demographically, subjectively, and in terms of identity explorations, parental detachment, and moving away from home [16].”
BackgroundLosing Control to Data-Hungry Apps: A Mixed-Methods Approach to Mobile App Privacy
Brandtzæg, P. B., Pultier, A., & Moen, G. M. (2018) · Social Science Computer Review · doi:10.1177/0894439318777706 · Cited by 71 · cited 2×
“A lack of trust among users in how a service is storing and sharing personal data can lead the users to stop using the service [69].”
BackgroundResultSocial Isolation of Youth at Risk: Conceptualizations and Practical Implications
Hazler, R. J., & Denham, S. A. (2002) · Journal of Counseling & Development · doi:10.1002/j.1556-6678.2002.tb00206.x · Cited by 66
(2018) · doi:10.1145/3170427.3185372 · Cited by 64 · cited 1×
“consequences, such as online addiction and loneliness [20].”
BackgroundSelf-citationCan a Machine Tend to Teenagers' Emotional Needs?: A Study with Conversational Agents
Kim, J., Kim, Y., Kim, B., Yun, S., Kim, M., & Lee, J. (2018) · Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3170427.3188548 · Cited by 51 · cited 2×
“Kim [59] explores teenagers’ expectations when interacting with a chatbot intended to support their emotional needs.”
BackgroundPromoting Wellbeing with Sunny, a Chatbot that Facilitates Positive Messages within Social Groups
Narain, J., Quach, T., Davey, M., Park, H. W., Breazeal, C., & Picard, R. W. (2020) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3383062 · Cited by 47 · cited 2×
“social support and psychological well-being [15].”
BackgroundHi, Can I Help? Exploring How to Design a Mental Health Chatbot for Youths
Høiland, C. G., Følstad, A., & Karahasanović, A. (2020) · Human Technology · doi:10.17011/ht/urn.202008245640 · Cited by 47
Self-citationMeasuring User Experience in Chatbots: An Approach to Interpersonal Communication Competence
Skjuve, M. B., & Brandtzæg, P. B. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-17705-8_10 · Cited by 31 · cited 1×
“Future chatbots may provide enhanced social or communicational competence to enable human–chatbot relationship development [78].”
BackgroundSelf-citation"I Almost Fell in Love with a Machine"
Yu, Q., Nguyen, T., Prakkamakul, S., & Salehi, N. (2019) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3290607.3312918 · Cited by 31 · cited 1×
“Indeed, a safe environment for self-disclosure is crucial [63], an important aspect of social support.”
BackgroundLMU Munich, G., Barthel, P., Heß, T., & LMU Munich, G. (2020) · Pacific Asia journal of the Association for Information Systems · doi:10.17705/1pais.12302 · Cited by 29
Chatbots as a new user interface for providing health information to young people
Skjuve, M. B., & Brandtzæg, P. B. (2018) · NORA - Norwegian Open Research Archives · Cited by 28
Self-citationAdolescent mental health: Global data informing opportunities for prevention
Griffin, E., & McMahon, E. M. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100413 · Cited by 22
Løvseth, L. T., & Aasland, O. G. (2010) · International Journal of Stress Management · doi:10.1037/a0018904 · Cited by 19 · cited 1×
“While storing and processing conversations are necessary for chatbots to provide meaningful replies to messages and share insights and patterns, the need for chatbots to demonstrate confdentiality and integrity has been identifed as a barrier to seeking support [62].”
BackgroundSolving the global challenge of adolescent mental ill-health
Cluver, L. D. (2020) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(20)30205-4 · Cited by 6 · cited 3×
“Recently, the COVID-19 epidemic has resulted in increased mental health distress among young people and new needs for access to social support online [8, 9].”
Background
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
Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review.
Aggarwal, A., Tam, C. C., Wu, D., Li, X., & Qiao, S. (2023) · Journal of medical Internet research · doi:10.2196/40789 · Cited by 683
My AI Friend: How Users of a Social Chatbot Understand Their Human–AI Friendship
Brandtzaeg, P. B., Skjuve, M., & Følstad, A. (2022) · Human Communication Research · doi:10.1093/hcr/hqac008 · Cited by 490
Self-citationHaque, M. D. R., & Rubya, S. (2023) · JMIR mHealth and uHealth · doi:10.2196/44838 · Cited by 404
A 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
“Such facilitation of self-disclosure might be further strengthened in HCR, and self-disclosure is acknowledged as essential for the formation of human – robot relationships (Kanda et al., 2007; Martelaro et al., 2016) and HCRs (Croes & Antheunis, 2021; Skjuve et al., 2021).”
BackgroundResultInfluentialSelf-citationChin, H., Song, H., Baek, G., Shin, M., Jung, C., Cha, M., Choi, J., & Cha, C. (2023) · Journal of Medical Internet Research · doi:10.2196/51712 · Cited by 213
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