Robo Sapiens Bankerius: An Ideally Designed Humanoid Banking Service Robot?

30 June 2025DOI: https://doi.org/10.33893/FER.24.2.98

Author information:

Alexandra Prisznyák https://orcid.org/0009-0001-3440-1086: AI Risk Management Expert and Consultant. E-mail:

Abstract:

Autonomous intelligent robots are playing an increasingly prominent role in the banking sector. The acceptance and perception of these robots as social actors depends on various factors. Through the process of anthropomorphisation, people attribute human-like characteristics, behavioural patterns or intentions to robots. This essay explores the anthropomorphisation of banking robots and examines the interactions between key robot features: social skills, functionality and appearance. It presents the theoretical concept of an ideally designed “Robo Sapiens Bankerius”. A questionnaire-based survey involving 26 robots which focused on the evaluation of the anthropomorphic appearance of banking robots was conducted between 2023 and March 2025: it found that majority of respondents preferred less human-like robots. Age, gender, concerns and attitudes showed no significant correlation with the choice of robot. The analysis of the open-ended responses revealed trade-offs between robots' social capabilities, functionality, and appearance. These findings point to new directions for research and provide an opportunity to compare the results with international literature.

Cite as (APA):

Prisznyák, A. (2025). Robo Sapiens Bankerius: An Ideally Designed Humanoid Banking Service Robot?. Financial and Economic Review, 24(2), 98–131. https://doi.org/10.33893/FER.24.2.98

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Column:

Our Vision (Essay)

Journal of Economic Literature (JEL) codes:

O3, G21, L62

Keywords:

anthropomorphisation, humanoid banking service robots, human-robot interaction, dehumanisation

References:

Abel, M. – Buccino, G. – Binkofski, F. (2024): Perception of robotic actions and the influence of gender. Frontiers in Psychology, 15, 1295279. https://doi.org/10.3389/fpsyg.2024.1295279

Abraham, F. – Schmukler, S. – Tessada, J. (2019): Financial Innovation and Additionality: The Power of Economic Analysis and Data Analytics. World Bank Research and Policy Briefs No. 138280. https://ssrn.com/abstract=3586630

Amelia, A. – Mathies, C. – Patterson, P.G. (2022): Customer acceptance of frontline service robots in retail banking: A qualitative approach. Journal of Service Management, 33(2): 321–341. https://doi.org/10.1108/JOSM-10-2020-0374

Appel, M. – Izydorczyk, D. – Weber, S. – Mara, M. – Lischetzke, T. (2020): The uncanny of mind in a machine: Humanoid robots as tools, agents, and experiencers. Computers in Human Behavior, 102: 274–286. https://doi.org/10.1016/j.chb.2019.07.031

Araujo, T. (2018): Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers in Human Behavior, 85: 183–189. https://doi.org/10.1016/j.chb.2018.03.051

Arora, A.S. – Arora, A. – Sivakumar, K. – Taras, V. (2024): The role of anthropomorphic, xenocentric, intentional, and social (AXIS) robotics in human-robot interaction. Computers in Human Behavior: Artificial Humans, 2(1), 100036. http://doi.org/10.1016/j.chbah.2023.100036

Asprino, L. – Ciancarini, P. – Nuzzolese, A.G. – Presutti, V. – Russo, A. (2022): A reference architecture for social robots. Journal of Web Semantics, 72, 100683. https://doi.org/10.1016/j.websem.2021.100683

Baraka, K. – Alves-Oliveira, P. – Ribeiro, T. (2020): An Extended Framework for Characterizing Social Robots. In: Jost, C. – Le Pévédic, B. – Belpaeme, T. – Bethel, C. – Chrysostomou, D. – Crook, N. – Grandgeorge, M. – Mirnig, M. (eds.): Human-Robot Interaction. Springer Series on Bio- and Neurosystems, Vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42307-0_2

Bartneck, C. – Kanda, T. – Ishiguro, H. – Hagita, N. (2009a): My robotic doppelgänger A critical look at the Uncanny Valley. ROMAN 2009 – The 18th IEEE International Symposium on Robot and Human Interactive Communication, Toyama, Japan, 2009, pp. 269–276. https://doi.org/10.1109/roman.2009.5326351

Bartneck, C. – Kanda, T. – Mubin, O. – Mahmud, A.A. (2009b): Does the design of a robot influence its animacy and perceived intelligence?. International Journal of Social Robotics, 1: 195–204. https://doi.org/10.1007/s12369-009-0013-7

Beer, J.M. – Fisk, A.D. – Rogers, W.A. (2014): Toward a Framework for Levels of Robot Autonomy in Human-Robot Interaction. Journal of Human-Robot Interaction, 3(2): 74–99. https://doi.org/10.5898/jhri.3.2.beer

Biocca, F. – Harms, C. – Burgoon, J.K. (2003): Toward a More Robust Theory and Measure of Social Presence: Review and Suggested Criteria. Presence, 12(5): 456–480.https://doi.org/10.1162/105474603322761270

Blut, M. – Wang, C. – Wünderlich, N.V. – Brock, C. (2021): Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI. Journal of the Academy of Marketing Science, 49: 632–658. https://doi.org/10.1007/s11747-020-00762-y

Breazeal, C. (2003): Toward sociable robots. Robotics and autonomous systems, 42(3–4): 167–175. https://doi.org/10.1016/s0921-8890(02)00373-1

Breazeal, C. – Harris, P.L. – DeSteno, D. – Westlund, J.M.K. – Dickens, L. – Jeong, S. (2016): Young Children Treat Robots as Informants. Topics in Cognitive Science, 8: 481–491. https://doi.org/10.1111/tops.12192

Brengman, M. – De Gauquier, L. – Willems, K. – Vanderborght, B. (2021): From stopping to shopping: An observational study comparing a humanoid service robot with a tablet service kiosk to attract and convert shoppers. Journal of Business Research, 134: 263–274. https://doi.org/10.1016/j.jbusres.2021.05.025

Broadbent, E. – Kumar, V. – Li, X. – Sollers, J. – Stafford, R.Q. – MacDonald, B.A. – Wegner, D.M. (2013): Robots with display screens: A robot with a more humanlike face display is perceived to have more mind and a better personality. PloS One, 8(8), e72589. https://doi.org/10.1371/journal.pone.0072589

Burleigh, T.J. – Schoenherr, J.R. – Lacroix, G.L. (2013): Does the uncanny valley exist? An empirical test of the relationship between eeriness and the human likeness of digitally created faces. Computers in Human Behavior, 29(3): 759–771. https://doi.org/10.1016/j.chb.2012.11.021

Cameron, D. – Collins, E.C. – de Saille, S. – Eimontaite, I. – Greenwood, A. – Law, J. (2023): The Social Triad Model: Considering the Deployer in a Novel Approach to Trust in Human–Robot Interaction. International Journal of Social Robotics, 16: 1405–1418. https://doi.org/10.1007/s12369-023-01048-3

Cameron, D. – de Saille, S. – Collins, E.C. – Aitken, J.M. – Cheung, H. – Chua, A. – Loh, E.J. – Law, J. (2021): The effect of social-cognitive recovery strategies on likability, capability and trust in social robots. Computers in Human Behavior. Volume 114, 106561. https://doi.org/10.1016/j.chb.2020.106561

Caporael, L. – Heyes, C.M. (1997): Why Anthropomorphize? Folk Psychology and Other Stories. In: Mitchell, R.W. – Thompson, N.S. – Miles, H.L. (eds.): Anthropomorphism, Anecdotes, and Animals. SUNY Press, pp. 59–73. https://philpapers.org/rec/CAPWAF-2

Castro-González, Á. – Admoni, H. – Scassellati, B. (2016): Effects of form and motion on judgments of social robots׳ animacy, likability, trustworthiness and unpleasantness. International Journal of Human Computer Studies, 90: 27–38. https://doi.org/10.1016/j.ijhcs.2016.02.004

Chang, W. – Kim, K.K. (2022): Appropriate service robots in exchange and communal relationships. Journal of Business Research, 141: 462–474. https://doi.org/10.1016/j.jbusres.2021.11.044

Choi, S. – Mattila, A.S. – Bolton, L.E. (2021): To Err Is Human(-oid): How Do Consumers React to Robot Service Failure and Recovery?. Journal of Service Research, 24(3): 354–371. https://doi.org/10.1177/1094670520978798

Chuah, S.H.-W. – Yu, J. (2021): The future of service: The power of emotion in human-robot interaction. Journal of Retailing and Consumer Services, 61, 102551. https://doi.org/10.1016/j.jretconser.2021.102551

Coeckelbergh, M. (2022): Three responses to anthropomorphism in social robotics: Towards a critical, relational, and hermeneutic approach. International Journal of Social Robotics, 14: 2049–2061. https://doi.org/10.1007/s12369-021-00770-0

Cornelius, S. – Leidner, D. (2021): Acceptance of Anthropomorphic Technology: A Literature Review. Proceedings of the Annual Hawaii International Conference on System Sciences, 2021, pp. 6422–6431. https://doi.org/10.24251/hicss.2021.774

Dacey, M. (2017): Anthropomorphism as Cognitive Bias. Philosophy of Science, 84(5): 1152–1164. https://doi.org/10.1086/694039

Damiano, L. – Dumouchel, P. (2018): Anthropomorphism in Human-Robot Co-evolution. Frontiers in Psychology, 9, 468. https://doi.org/10.3389/fpsyg.2018.00468

De Graaf, M.M. – Allouch, S.B. (2013): Exploring influencing variables for the acceptance of social robots, Robotics and Autonomous Systems, 61(12): 1476–1486. https://doi.org/10.1016/j.robot.2013.07.007

Deng, E. – Mutlu, B. – Mataric, M. (2019): Embodiment in Socially Interactive Robots. Foundations and Trends in Robotics, 7(4): 251–356. https://doi.org/10.1561/2300000056

Dennett, D.C. (1971): Intentional systems. Journal of Philosophy, 68(4): 87–106. https://doi.org/10.2307/2025382

Diener, F. – Špaček, M. (2021): Digital Transformation in Banking: A Managerial Perspective on Barriers to Change. Sustainability, 13, 2032. https://doi.org/10.3390/su13042032

Duffy B.R. (2003): Anthropomorphism and the social robot. Robotics and Autonomous Systems, 42(3–4): 177–190. https://doi.org/10.1016/s0921-8890(02)00374-3

Epley, N. – Waytz, A. – Cacioppo, J.T. (2007): On seeing human: a three-factor theory of anthropomorphism. Psychological Review, 114(4): 864–886. https://doi.org/10.1037/0033-295X.114.4.864

Eyssel, F. – Hegel, F. (2012): (S)he's Got the Look: Gender Stereotyping of Robots. Journal of Applied Social Psychology, 42(9): 2213–2230. https://doi.org/10.1111/j.1559-1816.2012.00937.x

Ferrari, F. – Paladino, M.P. – Jetten, J. (2016): Blurring human–machine distinctions: Anthropomorphic appearance in social robots as a threat to human distinctiveness. International Journal of Social Robotics, 8: 287–302. https://doi.org/10.1007/s12369-016-0338-y

Fink, J. (2012): Anthropomorphism and Human Likeness in the Design of Robots and Human-Robot Interaction. In: Ge, S.S. – Khatib, O. – Cabibihan, J.-J. – Simmons, R. – Williams, M.-A. (eds.): Social Robotics. ICSR 2012. Lecture Notes in Computer Science, vol 7621. Springer, Berlin, Heidelberg, pp. 199–208. https://doi.org/10.1007/978-3-642-34103-8_20

Fischer, K. (2021): Tracking Anthropomorphizing Behavior in Human-Robot Interaction. ACM Transactions on Human-Robot Interaction, 11(1), Article 4. https://doi.org/10.1145/3442677

Fisher, J.A. (1991): Disambiguating anthropomorphism: An interdisciplinary review. Perspectives in Ethology, 9: 49–85.

Fong, T. – Nourbakhsh, I. – Dautenhahn, K. (2003): A survey of socially interactive robots. Robotics and Autonomous Systems, 42(3–4): 143–166. https://doi.org/10.1016/S0921-8890(02)00372-X

Fox, J. – Gambino, A. (2021): Relationship Development with Humanoid Social Robots: Applying Interpersonal Theories to Human-Robot Interaction. Cyberpsychology, Behavior, and Social Networking, 24(5): 294–299. https://doi.org/10.1089/cyber.2020.0181

Galanxhi, H. – Nah, F.F.-H. (2007): Deception in cyberspace: A comparison of text-only vs. avatar-supported medium. International Journal of Human-Computer Studies, 65(9): 770–783. https://doi.org/10.1016/j.ijhcs.2007.04.005

Gambino, A. – Fox, J. – Ratan, R. (2020): Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm. Human-Machine Communication, 1: 71–86. https://doi.org/10.30658/hmc.1.5

Gültekin, M. (2022): Human-social robot interaction, anthropomorphism and ontological boundary problem in education. Psycho-Educational Research Reviews, 11(3): 751–773. https://doi.org/10.52963/perr_biruni_v11.n3.11

Haslam, N. (2022): Dehumanization and the lack of social connection. Current Opinion in Psychology, 43: 312–316. https://doi.org/10.1016/j.copsyc.2021.08.013

Heerink, M. (2011): Exploring the influence of age, gender, education and computer experience on robot acceptance by older adults. In: Proceedings of the 6th International Conference on Human-Robot Interaction (HRI '11), Association for Computing Machinery, New York, NY, USA, pp. 147–148. https://doi.org/10.1145/1957656.1957704

Heerink, M. Kröse, B. Evers, V. Wielinga, B. (2008): The influence of social presence on acceptance of a companion robot by older people. Journal of Physical Agents, 2(2): 33–40. https://doi.org/10.14198/jopha.2008.2.2.05

IFR (2016): World Robotics Report 2016: European Union occupies top position in the global automation race. International Federation of Robotics. https://ifr-org.webpkgcache.com/doc/-/s/ifr.org/img/uploads/2016-09-29_Press_Release_IFR_World_Robotics_Report_2016_ENGLISH.pdf. Downloaded: 20 August 2024.

IFR (2024): Absatz von Service-Robotern steigt weltweit um 30 Prozent. International Federation of Robotics. https://ifr.org/downloads/press2018/DE-2024-Oktober-07-IFR_Pressemeldung_SERVICE_ROBOTERpdf.pdf. Downloaded: 10 December 2024.

ISO (2021): Robotics – Vocabulary. International Organization for Standardization. https://www.iso.org/obp/ui/#iso:std:iso:8373:ed-3:v1:en. Downloaded: 10 August 2024.

ISO (2023): Robotics. Application services provided by service robots Safety management systems requirements. International Organization for Standardization. https://www.iso.org/obp/ui/es/#iso:std:iso:31101:ed-1:v1:en:term:3.1. Downloaded: 10 July 2024.

Ivanov, S. (2017): Robonomics – Principles, Benefits, Challenges, Solutions. In: Yearbook of Varna University of Management, Vol. 10, pp. 283–293.

Jovanović, S.Z. – Đurić, J.S. – Šibalija, T.V. (2019): Robotic Process Automation: Overview and Opportunities. International Journal “Advanced Quality”, 46(3–4): 34–39. https://www.researchgate.net/publication/332970286_ROBOTIC_PROCESS_AUTOMATION_OVERVIEW_AND_OPPORTUNITIES

Jung, D. – Dorner, V. – Glaser, F. – Morana, S. (2018):Robo-Advisory: Digitalization and Automation of Financial Advisory. Business & Information Systems Engineering, 60: 81–86. https://doi.org/10.1007/s12599-018-0521-9

Kahn, P.H. – Ishiguro, H. – Friedman, B. – Kanda, T. (2006): What is a human? Toward psychological benchmarks in the field of human-robot interaction. ROMAN 2006 – The 15th IEEE International Symposium on Robot and Human Interactive Communication, Hatfield, UK, 2006, pp. 364–371. https://doi.org/10.1109/roman.2006.314461

Kamide, H. – Kawabe, K. – Shigemi, S. – Arai, T. (2013): Development of a psychological scale for general impressions of humanoid. Advanced Robotics, 27(1): 3–17. https://doi.org/10.1080/01691864.2013.751159

Kim, Y. – Lee, H.S. (2014): Quality, Perceived Usefulness, User Satisfaction, and Intention to Use: An Empirical Study of Ubiquitous Personal Robot Service. Asian Social Science, 10(11): 1–16. https://doi.org/10.5539/ass.v10n11p1

Lee, K.M. (2004): Presence, explicated. Communication Theory, 14(1): 27–50. https://doi.org/10.1093/ct/14.1.27

Lee, K.M. – Peng, W. – Jin, S.-A. – Yan, C. (2006): Can Robots Manifest Personality?: An Empirical Test of Personality Recognition, Social Responses, and Social Presence in Human–Robot Interaction. Journal of Communication, 56: 754–772. https://doi.org/10.1111/j.1460-2466.2006.00318.x

Lee, W.-H. – Lin, C.-W. – Shih, K.-H. (2018): A technology acceptance model for the perception of restaurant service robots for trust, interactivity, and output quality. International Journal of Mobile Communications. 16(4): 361–376. https://dx.doi.org/10.1504/IJMC.2018.092666

Lu, L. – Zhang, P. – Zhang, T. (2021): Leveraging “human-likeness” of robotic service at restaurants. International Journal of Hospitality Management, 94, 102823. https://doi.org/10.1016/j.ijhm.2020.102823

Malle, B.F. – Scheutz, M. – Forlizzi, J. – Voiklis, J. (2016): Which robot am I thinking about?: The impact of action and appearance on people’s evaluations of a moral robot. 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Christchurch, New Zealand, pp. 125–132. https://doi.org/10.1109/HRI.2016.7451743

Mara, M. – Appel, M. (2015): Effects of lateral head tilt on user perceptions of humanoid and android robots. Computers in Human Behavior, 44: 326–334. https://doi.org/10.1016/j.chb.2014.09.025

McLannahan, B. (2017): Bank of America aims to reinvent the bricks and mortar branch. Financial Times, 3 April. https://www.ft.com/content/2abd7dca-17c0-11e7-a53d-df09f373be87. Downloaded: 30 October 2023.

Mori, M. (1970): Bukimi no tani (The uncanny valley). Energy, 7(4): 33–35.

Murphy, J. – Gretzel, U. – Pesonen, J. (2019): Marketing robot services in hospitality and tourism: the role of anthropomorphism. Journal of Travel & Tourism Marketing, 36(7): 784–795. https://doi.org/10.1080/10548408.2019.1571983

Nass, C. – Moon, Y. (2000): Machines and Mindlessness: Social Responses to Computers. Journal of Social Issues, 56(1): 81–103.https://doi.org/10.1111/0022-4537.00153

Nass, C. – Steuer, J. – Tauber, E.R. (1994): Computers are social actors. In: Conference Companion on Human Factors in Computing Systems (CHI '94). Association for Computing Machinery, New York, NY, USA, 204. https://doi.org/10.1145/259963.260288

Nomura, T. – Suzuki, T. – Kanda, T. – Kato, K. (2006): Measurement of anxiety toward robots. ROMAN 2006 – The 15th IEEE International Symposium on Robot and Human Interactive Communication, Hatfield, UK, 2006, pp. 372–377. https://doi.org/10.1109/ROMAN.2006.314462

Nussey, S. (2021): Exclusive SoftBank shrinks robotics business, stops Pepper production sources. Reuters, 29 June. https://www.reuters.com/technology/exclusive-softbank-shrinks-robotics-business-stops-pepper-production-sources-2021-06-28/. Downloaded: 10 March 2024.

Phillips, E. – Ososky, S. – Grove, J. – Jentsch, F. (2011): From tools to teammates: Toward the development of appropriate mental models for intelligent robots. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 55(1), pp. 1491–1495. https://doi.org/10.1177/1071181311551310

Phillips, E. – Zhao, X. – Ullman, D. – Malle, B.F. (2018): What is Human-like?: Decomposing Robots’ Human-like Appearance Using the Anthropomorphic roBOT (ABOT) Database. HRI ’18: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, pp. 105–113.https://doi.org/10.1145/3171221.3171268

Piwek, L. – McKay, L.S. – Pollick, F.E. (2014): Empirical evaluation of the uncanny valley hypothesis fails to confirm the predicted effect of motion. Cognition, 130(3): 271–277. https://doi.org/10.1016/j.cognition.2013.11.001

Powers, A. – Kiesler, S. (2006): The advisor robot: Tracing people’s mental model from a robot’s physical attributes. In: HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, pp. 218–225. https://doi.org/10.1145/1121241.1121280

Prisznyák, A. (2022): Artificial Intelligence in the Banking Sector. Economy and Finance, 9(4): 333–340. https://doi.org/10.33908/EF.2022.4.4

Prisznyák, A. (2023): Horizontal and Vertical Value Creation in Bankrobotics and the AI-Washing Phenomenon. Financial and Economic Review, 22(3): 97–122. https://doi.org/10.33893/FER.22.3.97

Prisznyák, A. (2025): The robot-labelling phenomenon: Robot-Ready Modern Operational Risk Management. Journal of Operational Risk, 20(1): 1–29. https://doi.org/10.21314/jop.2024.014

Reeves, B. – Nass, C. (1996): The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge University Press, New York.

Rese, A. – Witthohn, L. (2025): Recovering customer satisfaction after a chatbot service failure – The effect of gender. Journal of Retailing and Consumer Services, 84, 104257. https://doi.org/10.1016/j.jretconser.2025.104257

Richert, A. – Müller, S. – Schröder, S. – Jeschke, S. (2018): Anthropomorphism in social robotics: empirical results on human–robot interaction in hybrid production workplaces. AI & Society, 33: 413–424. https://doi.org/10.1007/s00146-017-0756-x

Robertson, J. (2017): Robo sapiens japanicus: Robots, Gender, Family, and the Japanese Nation. University of California Press, Oakland, California. https://doi.org/10.1515/9780520959064

Roxburgh, H. (2018): Inside Shanghai's robot bank: China opens world's first human-free branch. The Guardian, 14 May. https://www.theguardian.com/cities/2018/may/14/shanghai-robot-bank-china-worlds-first-human-free-branch-construction. Downloaded: 25 October 2023.

Ruijten, P.A. – Haans, A. – Ham, J. – Midden, C.J.H. (2019): Perceived Human-Likeness of Social Robots: Testing the Rasch Model as a Method for Measuring Anthropomorphism. International Journal of Social Robotics, 11: 477–494. https://doi.org/10.1007/s12369-019-00516-z

Sah, Y.J. – Peng, W. (2015): Effects of visual and linguistic anthropomorphic cues on social perception, self-awareness, and information disclosure in a health website. Computers in Human Behavior, 45: 392–401. https://doi.org/10.1016/j.chb.2014.12.055

Sarrica, M. – Brondi, S. – Fortunati, L. (2019): How many facets does a “social robot” have? A review of scientific and popular definitions online. Information Technology & People, 33(1): 1–21. https://doi.org/10.1108/itp-04-2018-0203

Song, C.S. – Kim, Y.-K. (2022): The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots. Journal of Business Research, 146: 489–503. https://doi.org/10.1016/j.jbusres.2022.03.087

Spatola, N. – Marchesi, S. – Wykowska, A. (2022): Different models of anthropomorphism across cultures and ontological limits in current frameworks the integrative framework of anthropomorphism. Frontiers in Robotics and AI, 9: 863319. https://doi.org/10.3389/frobt.2022.863319

Spatola, N. – Marchesi, S. – Wykowska, A. (2023): The Phenotypes of Anthropomorphism and the Link to Personality Traits. International Journal of Social Robotics, 15: 3–14. https://doi.org/10.1007/s12369-022-00939-1

Stein, J.-P. – Ohler, P. (2017): Venturing into the uncanny valley of mind – The influence of mind attribution on the acceptance of human-like characters in a virtual reality setting. Cognition, 160: 43–50. https://doi.org/10.1016/j.cognition.2016.12.010

Stock, R.M. – Merkle, M. (2017): A Service Robot Acceptance Model: User acceptance of humanoid robots during service encounters. 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kona, HI, USA, pp. 339–344. https://doi.org/10.1109/PERCOMW.2017.7917585

Sugiyama, S. – Vincent, J. (2013): Social robots and emotion: transcending the boundary between humans and ICTs. intervalla: platform for intellectual exchange, 1: 1–6. https://www.fus.edu/intervalla/volume-1-social-robots-and-emotion-transcending-the-boundary-between-humans-and-icts/social-robots-and-emotion-transcending-the-boundary-between-humans-and-icts

Tian, L. – Oviatt, S. (2021): A taxonomy of social errors in human-robot interaction. ACM Transactions of Human-Robot Interaction, 10(2), Article 13. https://doi.org/10.1145/3439720

Tuomi, A. – Tussyadiah, I.P. – Hanna, P. (2021): Spicing up hospitality service encounters: The case of Pepper™. International Journal of Contemporary Hospitality Management, 33(11): 3906–3925. https://doi.org/10.1108/IJCHM-07-2020-0739

Urquiza-Haas, E.G. – Kotrschal, K. (2015): The mind behind anthropomorphic thinking: Attribution of mental states to other species. Animal Behaviour, 109, 167–176. https://doi.org/10.1016/j.anbehav.2015.08.011

van Pinxteren, M.M.E. – Wetzels, R.W.H. – Rüger, J. – Pluymaekers, M. – Wetzels, M. (2019): Trust in humanoid robots: implications for services marketing. Journal of Services Marketing, 33(4): 507–518. https://doi.org/10.1108/jsm-01-2018-0045

van Straten, C.L. – Jochen, P. – Kühne, R. (2023): Transparent robots: How children perceive and relate to a social robot that acknowledges its lack of human psychological capacities and machine status. International Journal of Human-Computer Studies, 177, 103063. https://doi.org/10.1016/j.ijhcs.2023.103063

Wiese, E. – Metta, G. – Wykowska, A. (2017): Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social. Frontiers in Psychology, 8, 1663. https://doi.org/10.3389/fpsyg.2017.01663

Wykowska, A. – Chaminade, T. – Cheng, G. (2016): Embodied artificial agents for understanding human social cognition. Philosophical Transactions of the Royal Society: Biological Sciences, 371, 20150375. https://doi.org/10.1098/rstb.2015.0375

Złotowski, J. – Proudfoot, D. – Yogeeswaran, K. – Bartneck, C. (2015a): Anthropomorphism: Opportunities and Challenges in Human–Robot Interaction. International Journal of Social Robotics, 7: 347–360. https://doi.org/10.1007/s12369-014-0267-6

Złotowski, J.A. – Sumioka, H. – Nishio, S. – Glas, D.F. – Bartneck, C. – Ishiguro, H. (2015b): Persistence of the uncanny valley: the influence of repeated interactions and a robot’s attitude on its perception. Frontiers in Psychology, 6, 883. https://doi.org/10.3389/fpsyg.2015.00883