Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Specific research on chatbot anthropomorphism did not emerge until 2018, led by Araujo's pioneering work.
“Specific research on chatbot anthropomorphism, however, did not emerge until 2018, led by Araujo's(2018) pioneering work.”
From Consumer Response to Anthropomorphism of Text‐Based <scp>AI</scp> Chatbots: A Systematic Literature Review and Future Research Directions (2025) · cites this paper as Araujo 2018
The Abstract and Introduction confirm that Araujo’s 2018 study investigates anthropomorphism in chatbots. But the Introduction describes it as extending earlier research, and the Hypothesis/RQ Findings section cites earlier work on human-like conversational agents. Our copy does not establish that research specifically on chatbot anthropomorphism first emerged in 2018 or that Araujo led it. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe highly impactful and widely cited works of Araujo (2018) and Go and Sundar (2019) both appeared in Computers in Human Behavior, significantly contributing to the journal's high total citation count of 2536 citations.
“Notably, the highly impactful and widely cited works of Araujo(2018) and Go and Sundar(2019) both appeared in Computers in Human Behavior , significantly contributing to the journal's high total citation count of 2536 citations.”
From Consumer Response to Anthropomorphism of Text‐Based <scp>AI</scp> Chatbots: A Systematic Literature Review and Future Research Directions (2025) · cites this paper as Araujo 2018
The indexed copy identifies the cited work as Araujo’s chatbot paper, consistent with the sentence’s reference to Araujo (2018). The passages available from its Introduction and References (pages unavailable) do not report how widely it was cited, discuss Go and Sundar (2019), or substantiate the journal total of 2,536 citations and the claimed contribution to it. (LLM, conf=0.78)
Experimental — accuracy not yet measuredMultiple studies examine social presence solely through the lens of the CASA without explicitly applying the social presence theory.
“Multiple studies even examine social presence solely through the lens of the CASA without explicitly applying the social presence theory (e.g., Araujo2018; Shams etal.2024).”
From Consumer Response to Anthropomorphism of Text‐Based <scp>AI</scp> Chatbots: A Systematic Literature Review and Future Research Directions (2025) · cites this paper as Araujo 2018
Araujo's (2018) paper has gained 1214 citations to date.
“Leading the list is Araujo's(2018) highly impactful paper, which has gained 1214 citations to date.”
From Consumer Response to Anthropomorphism of Text‐Based <scp>AI</scp> Chatbots: A Systematic Literature Review and Future Research Directions (2025) · cites this paper as Araujo 2018
The paper’s References and results sections do not report how many times Araujo’s paper was cited. Searches for “1214 citations to date” and its citation count found no relevant passage in our copy; a later citation total cannot be verified from the paper itself. (LLM, conf=0.78)
Experimental — accuracy not yet measuredChatbot user experience has been a key theme in recent research efforts for voice-based virtual agents and text-based applications.
“Chatbot user experience has been a key theme in recent research efforts, for voice-based virtual agents [75] and text-based applications [4].”
From Future directions for chatbot research: An interdisciplinary research agenda (2021) · cites this paper as [4]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
(2013) · Cited by 44,563 · see citing works
(1997) · Choice Reviews Online · doi:10.5860/choice.34-3702 · Cited by 4,870 · see citing works
Machines and Mindlessness: Social Responses to Computers
Nass, C., & Moon, Y. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00153 · Cited by 4,022 · cited 6× · see citing works
“These studies suggest that perceived anthropomorphism e i.e., “ the assignment of human traits and characteristics to computers ” (Nass & Moon, 2000, p. 82) e and social presence e i.e., the feeling that another being “ (living or synthetic) also exist in the world and appear to react to you ”…”
BackgroundMethodResultInfluentialBeing There: The Subjective Experience of Presence
Heeter, C. (1992) · PRESENCE Virtual and Augmented Reality · doi:10.1162/pres.1992.1.2.262 · Cited by 1,457 · see citing works
Social presence, trust, and social commerce purchase intention: An empirical research
Lu, B., Fan, W., & Zhou, M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.057 · Cited by 1,110 · see citing works
Maxham, J. G., & Netemeyer, R. G. (2002) · Journal of Retailing · doi:10.1016/s0022-4359(02)00100-8 · Cited by 981 · see citing works
The Influence of Avatars on Online Consumer Shopping Behavior
Holzwarth, M., Janiszewski, C. A., & Neumann, M. M. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.4.19 · Cited by 814 · see citing works
“Service Encounter 2.0”: An investigation into the roles of technology, employees and customers
Larivière, B., Bowen, D., Andreassen, T. W., Kunz, W., Sirianni, N. J., Voss, C., Wünderlich, N. V., & De Keyser, A. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.03.008 · Cited by 779 · see citing works
The role of social presence in establishing loyalty in e-Service environments
Cyr, D., Hassanein, K., Head, M. M., & Ivanov, A. (2006) · Interacting with Computers · doi:10.1016/j.intcom.2006.07.010 · Cited by 710 · see citing works
Lee, K. M., Jung, Y., Kim, J., & Kim, S. R. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.05.002 · Cited by 510 · see citing works
Anthropomorphism of computers: Is it mindful or mindless?
Kim, Y., & Sundar, S. S. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.09.006 · Cited by 462 · see citing works
Crowdsourcing research: Data collection with Amazon’s Mechanical Turk
Sheehan, K. B. (2018) · Communication Monographs · doi:10.1080/03637751.2017.1342043 · Cited by 408 · see citing works
Verhagen, T., van Nes, J. V., Feldberg, F., & van Dolen, W. (2014) · J. Comput. Mediat. Commun. · doi:10.1111/jcc4.12066 · Cited by 405 · see citing works
Toward a Taxonomy of Copresence
Zhao, S. (2003) · PRESENCE Virtual and Augmented Reality · doi:10.1162/105474603322761261 · Cited by 389 · see citing works
“It doesn’t matter what you are!” Explaining social effects of agents and avatars
von der Pütten, A. M., Krämer, N. C., Gratch, J., & Kang, S.-H. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.012 · Cited by 389 · see citing works
Powers, A., & Kiesler, S. B. (2006) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/1121241.1121280 · Cited by 351 · see citing works
Edwards, C. C., Edwards, A. P., Spence, P. R., & Shelton, A. K. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.08.013 · Cited by 315 · see citing works
Conceptualising and Measuring the Equity of Online Brands
Christodoulides, G., de Chernatony, L., Furrer, O., et al. (2006) · Journal of Marketing Management · doi:10.1362/026725706778612149 · Cited by 240 · see citing works
Washington State University, Hess, T., Fuller, M., University of Massachusetts, A., Campbell, D., & Millsaps College (2009) · Journal of the Association for Information Systems · doi:10.17705/1jais.00216 · Cited by 233 · see citing works
Edwards, A., Edwards, C., Spence, P. R., Harris, C., & Gambino, A. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.06.005 · Cited by 174 · see citing works
Shopping with a robotic companion
Bertacchini, F., Bilotta, E., & Pantano, P. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.064 · Cited by 173 · see citing works
The impact of online real-time interactivity on patronage intention: The use of avatars
Etemad‐Sajadi, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.045 · Cited by 166 · see citing works
Pickard, M. D., Roster, C. A., & Chen, Y. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.08.004 · Cited by 157 · see citing works
And Now, A Word from Our Sponsor--A Look at the Effects of Sponsored Content and Banner Advertising
Becker-Olsen, K. L. (2003) · Journal of Advertising · doi:10.1080/00913367.2003.10639130 · Cited by 155 · see citing works
Virtual agents in retail web sites: Benefits of simulated social interaction for older users
Chattaraman, V., Kwon, W., & Gilbert, J. E. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.009 · Cited by 153 · see citing works
Can machines talk? Comparison of Eliza with modern dialogue systems
Shah, H., Warwick, K., Vallverdú, J., & Wu, D. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.01.004 · Cited by 133 · see citing works
Perceiving artificial social agents
Holtgraves, T. M., Ross, S. J., Weywadt, C. R., & Han, T. L. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2006.02.017 · Cited by 131 · see citing works
Corti, K., & Gillespie, A. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.039 · Cited by 118 · see citing works
The Roles of Modality Richness and Involvement in Shopping Behavior in 3D Virtual Stores
Jin, S. A. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2009.04.005 · Cited by 114 · see citing works
Sah, Y. J., & Peng, W. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.055 · Cited by 113 · see citing works
AN AUTOMATIC DIALOG SIMULATION TECHNIQUE TO DEVELOP AND EVALUATE INTERACTIVE CONVERSATIONAL AGENTS
Griol, D., Carbó, J., & Molina, J. M. (2013) · Applied Artificial Intelligence · doi:10.1080/08839514.2013.835230 · Cited by 108 · see citing works
A typology of roles for avatars in online retailing
McGoldrick, P., Keeling, K. A., & Beatty, S. (2008) · Journal of Marketing Management · doi:10.1362/026725708x306176 · Cited by 87 · see citing works
The impact of hedonic and utilitarian value of online avatars on e-service quality
Etemad‐Sajadi, R., & Ghachem, L. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.05.048 · Cited by 79 · see citing works
Persuasive computing: Feeling peer pressure from multiple computer agents
Xu, K., & Lombard, M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.04.043 · Cited by 76 · see citing works
The roles of spokes-avatars' personalities in brand communication in 3D virtual environments
Jin, S. A., & Sung, Y. (2009) · Journal of Brand Management · doi:10.1057/bm.2009.18 · Cited by 68 · see citing works
Vendemia, M. A. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.046 · Cited by 68 · see citing works
Virtual research assistants: Replacing human interviewers by automated avatars in virtual worlds
Hasler, B. S., Tuchman, P., & Friedman, D. A. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.01.004 · Cited by 58 · see citing works
Edwards, C. C., Beattie, A. J., Edwards, A. P., & Spence, P. R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.003 · Cited by 56 · see citing works
Lunardo, R., Bressolles, G., & Durrieu, F. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.01.006 · Cited by 51 · see citing works
Embodied Conversational Agents
Krämer, N. C., Bente, G., Eschenburg, F., & Troitzsch, H. (2009) · Social Psychology · doi:10.1027/1864-9335.40.1.26 · Cited by 45 · see citing works
Shank, D. B. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.11.006 · Cited by 44 · see citing works
Interacting with bots online: Users’ reactions to actions of automated programs in Wikipedia
Clément, M., & Guitton, M. J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.03.078 · Cited by 41 · see citing works
Warwick, K., & Shah, H. (2015) · AI & Society · doi:10.1007/s00146-015-0588-5 · Cited by 16 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Johnson, K. (2017). Facebook Messenger hits 100,000 bots. Retrieved May 30, 2017, from https://venturebeat.com/2017/04/18/facebook-messenger-hits-100000- bots/. · DOI
Cited by
Sorted by citations
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584 · see citing works
AI-based chatbots in customer service and their effects on user compliance
Adam, M., Wessel, M., & Benlian, A. (2021) · Electronic Markets · doi:10.1007/s12525-020-00414-7 · Cited by 1,195 · see citing works
“With few exceptions (e.g., Araujo 2018), potentials to shape customer-provider relationships by means of disembodied CAs have remained largely unexplored.”
BackgroundResultInfluentialVrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022) · The International Journal of Human Resource Management · doi:10.1080/09585192.2020.1871398 · Cited by 1,134 · see citing works
“Humanoid service robots and artificial intelligence bots, for example, are increasingly attracting industry attention (Araujo, 2018; Go & Sundar, 2019; Larivi (cid:1) ere et al., 2017; Thomaz et al., 2020).”
BackgroundCustomer service chatbots: Anthropomorphism and adoption
Sheehan, B., Jin, H. S., & Gottlieb, U. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.04.030 · Cited by 667 · see citing works
Mariani, M. M., Perez‐Vega, R., & Wirtz, J. (2022) · Psychology & Marketing · doi:10.1002/mar.21619 · Cited by 631 · see citing works
Chaves, A. P., & Gerosa, M. A. (2021) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1841438 · Cited by 572 · see citing works
Cheng, Y., & Jiang, H. (2020) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2020.1834296 · Cited by 469 · see citing works
Predicting the intentions to use chatbots for travel and tourism
Melián-González, S., Gutiérrez-Taño, D., & Bulchand-Gidumal, J. (2021) · Current Issues in Tourism · doi:10.1080/13683500.2019.1706457 · Cited by 406 · see citing works
Tsai, W.-H. S., Liu, Y., & Chuan, C.-H. (2021) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-12-2019-0200 · Cited by 394 · see citing works
How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents
Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021) · Electronic Markets · doi:10.1007/s12525-020-00411-w · Cited by 406 · see citing works
Ng, D. T. K., Wu, W., Leung, J. K. L., Chiu, T. K. F., & Chu, S. K. W. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13411 · Cited by 390 · see citing works
AI literacy and its implications for prompt engineering strategies
Knoth, N., Tolzin, A., Janson, A., & Leimeister, J. M. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100225 · Cited by 368 · see citing works
The impact of chatbot conversational skill on engagement and perceived humanness
Schuetzler, R. M., Grimes, G. M., & Scott Giboney, J. (2020) · Journal of Management Information Systems · doi:10.1080/07421222.2020.1790204 · Cited by 357 · see citing works
Chocarro, R., Cortiñas, M., & Marcos-Matás, G. (2023) · Educational Studies · doi:10.1080/03055698.2020.1850426 · Cited by 343 · see citing works
Bots with Feelings: Should AI Agents Express Positive Emotion in Customer Service?
Han, E., Yin, D., & Zhang, H. (2023) · Information Systems Research · doi:10.1287/isre.2022.1179 · Cited by 307 · see citing works
Yen, C., & Chiang, M.-C. (2021) · Behaviour & Information Technology · doi:10.1080/0144929x.2020.1743362 · Cited by 297 · see citing works
Alexa, what do we know about conversational commerce? Insights from a systematic literature review.
Lim, W. M., Kumar, S., Verma, S., & Chaturvedi, R. (2022) · Psychology & Marketing · doi:10.1002/mar.21654 · Cited by 293 · see citing works
Someone out there? A study on the social presence of anthropomorphized chatbots
Konya-Baumbach, E., Biller, M., & von Janda, S. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107513 · Cited by 283 · see citing works
Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty
Chen, Q., Lu, Y., Gong, Y., & Xiong, J. (2023) · Internet Research · doi:10.1108/intr-09-2021-0686 · Cited by 260 · see citing works
The impact of chatbots on customer loyalty: a systematic literature review
Jenneboer, L., Herrando, C., & Constantinides, E. (2022) · Journal of Theoretical and Applied Electronic Commerce Research · doi:10.3390/jtaer17010011 · Cited by 249 · see citing works
Creepiness: Its antecedents and impact on loyalty when interacting with a chatbot
Rajaobelina, L., Prom Tep, S., Arcand, M., & Ricard, L. (2021) · Psychology & Marketing · doi:10.1002/mar.21548 · Cited by 252 · see citing works
Future 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
Self-citationHaugeland, I. K. F., Følstad, A., Taylor, C., & Bjørkli, C. A. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102788 · Cited by 235 · see citing works
Alabed, A., Javornik, A., & Gregory-Smith, D. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121786 · Cited by 233 · see citing works
The effect of social presence and chatbot errors on trust
Toader, D.-C., Boca, G., Toader, R., Măcelaru, M., Toader, C., Ighian, D., & Rădulescu, A. T. (2019) · Sustainability · doi:10.3390/su12010256 · Cited by 233 · see citing works
Lee, S., Lee, N., & Sah, Y. J. (2020) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2019.1699748 · Cited by 204 · see citing works
Thomaz, F., Salge, C., Karahanna, E., & Hulland, J. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00704-3 · Cited by 204 · see citing works
Texting with Humanlike Conversational Agents: Designing for Anthropomorphism
Seeger, A.-M., University of Mannheim, G., Pfeiffer, J., Justus Liebig University Giessen, G., Heinzl, A., & University of Mannheim, G. (2021) · Journal of the Association for Information Systems · doi:10.17705/1jais.00685 · Cited by 200 · see citing works
Niu, B., & Mvondo, G. F. N. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103562 · Cited by 178 · see citing works
Lim, S. M., Shiau, C. W. C., Cheng, L. J., & Lau, Y. (2022) · Behavior Therapy · doi:10.1016/j.beth.2021.09.007 · Cited by 163 · see citing works
Virtual agents and flow experience: an empirical examination of AI-powered chatbots
Baabdullah, A. M., Alalwan, A. A., Algharabat, R. S., Metri, B., & Rana, N. P. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121772 · Cited by 171 · see citing works
Do you mind if I ask you a personal question? How AI service agents alter consumer self-disclosure
Kim, T. W., Jiang, L., Duhachek, A., Lee, H., & Garvey, A. (2022) · Journal of Service Research · doi:10.1177/10946705221120232 · Cited by 177 · see citing works
AI Companions Reduce Loneliness
De Freitas, J., Oğuz-Uğuralp, Z., Uğuralp, A. K., & Puntoni, S. (2026) · Journal of Consumer Research · doi:10.1093/jcr/ucaf040 · Cited by 165 · see citing works
Wu, L., & Jing Wen, T. (2021) · Journal of Advertising Research · doi:10.2501/jar-2021-004 · Cited by 127 · see citing works
Smiling AI agents: How anthropomorphism and broad smiles increase charitable giving
Baek, T. H., Bakpayev, M., Yoon, S., & Kim, S. (2022) · International Journal of Advertising · doi:10.1080/02650487.2021.2011654 · Cited by 125 · see citing works
Terblanche, N., & Kidd, M. (2022) · Sage Open · doi:10.1177/21582440221096136 · Cited by 120 · see citing works
Feine, J., Gnewuch, U., Morana, S., & Maedche, A. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-39540-7_6 · Cited by 99 · see citing works
Liu, W., Jiang, M., Li, W., & Mou, J. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123407 · Cited by 98 · see citing works
Interactivity, humanness, and trust: a psychological approach to AI chatbot adoption in e-commerce
Ding, Y., & Najaf, M. (2024) · BMC Psychology · doi:10.1186/s40359-024-02083-z · Cited by 93 · see citing works
Malik, R., Shrama, A., Trivedi, S., & Mishra, R. (2021) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v16i18.24315 · Cited by 93 · see citing works
Sezgin, E., Militello, L. K., Huang, Y., & Lin, S. (2020) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz141 · Cited by 83 · see citing works
Browsing with Alexa: interrogating the impact of voice assistants as web interfaces
Natale, S., & Cooke, H. (2021) · Media, Culture & Society · doi:10.1177/0163443720983295 · Cited by 76 · see citing works
Mirages. On Anthropomorphism in Dialogue Systems
Abercrombie, G., Curry, A., Dinkar, T., Rieser, V., & Talat, Z. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2023.emnlp-main.290 · Cited by 83 · see citing works
Beyond self-diagnosis: how a chatbot-based symptom checker should respond
You, Y., Tsai, C.-H., Li, Y., Ma, F., Heron, C., & Gui, X. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3589959 · Cited by 60 · see citing works
Cohn, A., Gesche, T., & Maréchal, M. A. (2022) · Management Science · doi:10.1287/mnsc.2021.3985 · Cited by 62 · see citing works
Use of automated conversational agents in improving young population mental health: a scoping review
Balan, R., Dobrean, A., & Poetar, C. R. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01072-1 · Cited by 56 · see citing works
“The category of CAs covers a broad spectrum of embodiment types, from dis-embodied agents with no dynamic physical representation (chatbots) to agents with virtual representation or robots with a physical representation 6 .”
Langer, M., Hunsicker, T., Feldkamp, T., König, C. J., & Grgić-Hlača, N. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517527 · Cited by 55 · see citing works
Artificial Intelligence Tool Penetration in Business: Adoption, Challenges and Fears
Schlögl, S., Postulka, C., Bernsteiner, R., & Ploder, C. (2019) · Communications in Computer and Information Science · doi:10.1007/978-3-030-21451-7_22 · Cited by 52 · see citing works
Song, M., Zhu, Y., Xing, X., & Du, J. (2024) · Behaviour & Information Technology · doi:10.1080/0144929x.2023.2285943 · Cited by 49 · see citing works
Enhancing service recovery satisfaction with chatbots: The role of humor and informal language
Shams, G., Kim, K. K., & Kim, K. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2024.103782 · Cited by 55 · see citing works
Murtaza, Z., Sharma, I., & Carbonell, P. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123806 · Cited by 46 · see citing works
Greilich, A., Bremser, K., & Wüst, K. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70108 · Cited by 47 · see citing works
Liew, T. W., Tan, S.-M., Yoo, N. E., Gan, C. L., & Lee, Y. Y. (2023) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2023.100323 · Cited by 33 · see citing works
The Effect of Personalization Techniques in Users' Perceptions of Conversational Recommender Systems
Laban, G., & Araujo, T. (2020) · Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents · doi:10.1145/3383652.3423890 · Cited by 36 · see citing works
Self-citationSafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems
Dinan, E., Abercrombie, G., Bergman, A., Spruit, S., Hovy, D., Boureau, Y.-L., & Rieser, V. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/2022.acl-long.284 · Cited by 32 · see citing works
Do, H. J., Kong, H.-K., Tetali, P., Lee, J., & Bailey, B. P. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579532 · Cited by 32 · see citing works
Bendig, E., Erb, B., Meißner, E., Bauereiß, N., & Baumeister, H. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100377 · Cited by 24 · see citing works
“Via software agents, components of persua-siveness (Baumeister et al., 2019) like personalising featured contents or adopting a social role to the software agent could easily be integrated (Araujo, 2018).”
Examining Humanness as a Metaphor to Design Voice User Interfaces
Desai, S., Dubiel, M., & Leiva, L. A. (2024) · ACM Conversational User Interfaces 2024 · doi:10.1145/3640794.3665535 · Cited by 21 · see citing works
Influence of Rapport and Social Presence with an Ai Psychotherapy Chatbot on Users’ Self-Disclosure
Lee, J., Lee, J.-G., & Lee, D. (2022) · doi:10.2139/ssrn.4063508 · Cited by 127 · see citing works
Radensky, M., Séguin, J. A., Lim, J. S., Olson, K., & Geiger, R. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency · doi:10.1145/3593013.3594043 · Cited by 14 · see citing works
“Though it is a significant area of interest in conversational AI [1, 2, 43], anthropomorphism has had a more complex relationship with trust in AI, as it can sometimes give rise to creepiness or disappointment when the system is not as capable as it seemed [17].”
BackgroundAI Companions Reduce Loneliness
De Freitas, J., Uguralp, A. K., Uguralp, Z. O., & Stefano, P. (2024) · arXiv · doi:10.48550/arxiv.2407.19096 · Cited by 12 · see citing works
Karakitsou, C., Karayianni, I., Leftheriotis, K., Logotheti, A., & Avgerinou, M. D. (2025) · Journal of Visual Literacy · doi:10.1080/1051144x.2025.2538256 · Cited by 3 · see citing works
Cao, F., Bu, L., Huang, Y., Chi, Y., & Fu, H. (2026) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2026.103320
- Authors
- Araujo, T.
- Affiliations
- University of Amsterdam (NL)
- Corresponding author
- Araujo, Theo
- ORCID
- Araujo, Theo
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 85
- Pages
- 183-189
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2795037203
- Cited by
- 1,156
- References
- 44
- Citations by year
- 2026: 223 · 2025: 209 · 2024: 169 · 2023: 163 · 2022: 161 · 2021: 116 · 2020: 83 · 2019: 29 · 2018: 3
- FWCI
- 32.51
- Type
- journal article
- Language
- en
- Open access
- green
- handle.uba.uva.nl
- Licence
- Locations
- Computers in Human Behavior (publishedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Universiteit van Amsterdam
- Amsterdam School of Communication Research, University of Amsterdam
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- chatbots, anthropomorphism, social presence, consumer attitudes, customer satisfaction, service encounters, messaging apps
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