Skip to main content
Log in

Anthropomorphic Information Systems

  • Catchword
  • Published:
Business & Information Systems Engineering Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  • Abdul-Kader SA, Woods J (2015) Survey on chatbot design techniques in speech conversation systems. Int J Adv Comput Sci Appl 6(7):72–80

    Google Scholar 

  • Aggarwal P, McGill AL (2007) Is that car smiling at me? Schema congruity as a basis for evaluating anthropomorphized products. J Consum Res 34(4):468–479

    Article  Google Scholar 

  • André E, Rist T (2001) Presenting through performing: on the use of multiple lifelike characters in knowledge-based presentation systems. Knowl-Based Syst 14(1–2):3–13

    Article  Google Scholar 

  • Anki (2018) Anki vector: the home robot with interactive AI technology. Anki USA. https://www.anki.com/en-us/vector. Accessed 30 Oct 2018

  • Apple Inc. (2018) Siri. https://www.apple.com/uk/siri/. Accessed 30 Oct 2018

  • Aron J (2011) Software tricks people into thinking it is human. New scientist. https://www.newscientist.com/article/dn20865-software-tricks-people-into-thinking-it-is-human/. Accessed 13 Feb 2018

  • Bailenson JN, Yee N (2005) Digital chameleons: automatic assimilation of nonverbal gestures in immersive virtual environments. Psychol Sci 16(10):814–819

    Article  Google Scholar 

  • Bartneck C, Kanda T, Ishiguro H, Hagita N (2007) Is the uncanny valley an uncanny cliff? In: 16th IEEE international symposium on robot and human interactive communication. IEEE Service Center, Piscataway, pp 368–373

  • Beale R, Creed C (2009) Affective interaction: how emotional agents affect users. Int J Hum Comput Stud 67(9):755–776

    Article  Google Scholar 

  • Benlian A, Klumpe J, Hinz O (2019) Mitigating the intrusive effects of smart home assistants by using anthropomorphic design features: a multi-method investigation. Inf Syst J (forthcoming). Preprint version available: https://www.researchgate.net/publication/332187512_Mitigating_the_Intrusive_Effects_of_Smart_Home_Assistants_by_using_Anthropomorphic_Design_Features_A_Multi-Method_Investigation

  • Bernardini S, Porayska-Pomsta K, Smith TJ (2014) ECHOES: an intelligent serious game for fostering social communication in children with autism. Inf Sci 264:41–60

    Article  Google Scholar 

  • Bessi A, Ferrara E (2017) Social bots distort the 2016 US presidential election online discussion. First Monday. https://doi.org/10.5210/fm.v21i11.7090

    Article  Google Scholar 

  • Broadbent E, Kumar V, Li X, Sollers JS 3rd, Stafford RQ, MacDonald BA, Wegner DM (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

    Article  Google Scholar 

  • Burgoon JK, Bonito JA, Bengtsson B, Cederberg C, Lundeberg M, Allspach L (2000) Interactivity in human–computer interaction: a study of credibility, understanding, and influence. Comput Hum Behav 16(6):553–574

    Article  Google Scholar 

  • Burleigh TJ, Schoenherr JR, Lacroix GL (2013) Does the uncanny valley exist? An empirical test of the relationship between eeriness and the human likeness of digitally created faces. Comput Hum Behav 29(3):759–771. https://doi.org/10.1016/j.chb.2012.11.021

    Article  Google Scholar 

  • Colby KM, Weber S, Hilf FD (1971) Artificial paranoia. Artif Intell 2(1):1–25

    Article  Google Scholar 

  • Dalton R (2004) Lion man takes pride of place as oldest statue. Nature. https://doi.org/10.1038/425007a

    Article  Google Scholar 

  • Darwin C (1998/1873) The expression of the emotions in man and animals. Oxford University Press, Oxford (Original work published in 1873)

  • de Melo CM, Carnevale PJ, Read SJ, Gratch J (2014) Reading people’s minds from emotion expressions in interdependent decision making. J Pers Soc Psychol 106(1):73–88

    Article  Google Scholar 

  • Derby J (1970) Anthropomorphism in children’s literature or “Mom, my doll’s talking again”. Elem Engl 47(2):190–192

    Google Scholar 

  • Edwards C, Edwards A, Spence PR, Shelton AK (2014) Is that a bot running the social media feed? Testing the differences in perceptions of communication quality for a human agent and a bot agent on twitter. Comput Hum Behav 33:372–376

    Article  Google Scholar 

  • Elmasri D, Maeder A (2016) A conversational agent for an online mental health intervention. In: Proceedings of the international conference on brain and health informatics. Springer, Cham, pp 243–251

  • Epley N (2004) A tale of tuned decks? Anchoring as accessibility and anchoring as adjustment. In: Koehler DJ, Harvey N (eds) The Blackwell handbook of judgment and decision making. Blackwell, Malden, pp 240–256

    Chapter  Google Scholar 

  • Epley N, Waytz A, Cacioppo JT (2007) On seeing human: a three-factor theory of anthropomorphism. Psychol Rev 114(4):864–886

    Article  Google Scholar 

  • Eyssel F, Hegel F (2012) (S)he’s got the look: gender stereotyping of robots. J Appl Soc Psychol 42(9):2213–2230

    Article  Google Scholar 

  • Eyssel F, Hegel F, Horstmann G, Wagner C (2010) Anthropomorphic inferences from emotional nonverbal cues: a case study. In: Proceedings of the IEEE international conference on robot and human interactive communication. IEEE, Viareggio, pp 646–651

  • Eyssel F, Kuchenbrandt D, Bobinger S, Ruiter L de, Hegel F (2012) ‘If you sound like me, you must be more human’. In: Proceedings of the 7th annual ACM/IEEE international conference on human-robot interaction. IEEE, Boston, pp 125

  • Feuerbach L (2004/1873) The essence of religion. Prometheus, Amherst (Original work published in 1873)

  • Freud S (1930) Civilization and its discontents. Norton, New York, pp 64–145

    Google Scholar 

  • Gnewuch U, Morana S, Mädche A (2017) Towards designing cooperative and social conversational agents for customer service. In: Proceedings of the international conference on information systems. AIS, Seoul

  • Goetz J, Kiesler S, Powers A (2003) Matching robot appearance and behavior to tasks to improve human-robot cooperation. In: Proceedings of the 12th IEEE international workshop on robot and human interactive communication. IEEE, Milbrae, pp 55–60

  • Google LLC (2018) Google Assistant—your own personal Google. https://assistant.google.com/. Accessed 30 Oct 2018

  • Griffin D, Tversky A (1992) The weighing of evidence and the determinants of confidence. Cogn Psychol 24(3):411–435

    Article  Google Scholar 

  • Heller B, Proctor M, Mah D, Jewell L, Cheung B (2005) Freudbot: an investigation of chatbot technology in distance education. In: World conference on educational media and technology. AACE, Montreal, pp 3913–3918

  • Hill J, Ford WR, Farreras IG (2015) Real conversations with artificial intelligence: a comparison between human–human online conversations and human–chatbot conversations. Comput Hum Behav 49:245–250

    Article  Google Scholar 

  • Hudlicka E (2003) To feel or not to feel: the role of affect in human–computer interaction. Int J Hum Comput Stud 59(1):1–32

    Article  Google Scholar 

  • Iivari J (2017) Information system artefact or information system application: that is the question. Inf Syst J 27(6):753–774

    Article  Google Scholar 

  • Jung D, Dorner V, Weinhardt C, Pusmaz H (2017) Designing a robo-advisor for risk-averse, low-budget consumers. Electron Mark 28(3):367–380

    Article  Google Scholar 

  • Jung D, Dorner V, Glaser F, Morana S (2018) Robo-advisory. Bus Inf Syst Eng 60(1):81–86

    Article  Google Scholar 

  • Kim S, Chen RP, Zhang K (2016) Anthropomorphized helpers undermine autonomy and enjoyment in computer games. J Consum Res 43(2):282–302

    Article  Google Scholar 

  • Landwehr JR, McGill AL, Herrmann A (2011) It’s got the look: the effect of friendly and aggressive “facial” expressions on product liking and sales. J Mark 75(3):132–146

    Article  Google Scholar 

  • Lanier CD Jr, Rader CS, Fowler AR III (2013) Anthropomorphism, marketing relationships, and consumption worth in the toy story trilogy. J Mark Manag 29(1–2):26–47

    Article  Google Scholar 

  • Lee S, Choi J (2017) Enhancing user experience with conversational agent for movie recommendation: effects of self-disclosure and reciprocity. Int J Hum Comput Stud 103:95–105

    Article  Google Scholar 

  • Lee AS, Thomas M, Baskerville RL (2015) Going back to basics in design science: from the information technology artifact to the information systems artifact. Inf Syst J 25(1):5–21

    Article  Google Scholar 

  • Li J, Monroe W, Ritter A, Galley M, Gao J, Jurafsky D (2016) Deep reinforcement learning for dialogue generation. In: Proceedings of the 2016 conference on empirical methods in natural language processing, association for computational linguistics, Austin, pp 1192–1202

  • Luger E, Sellen A (2016) “Like having a really bad PA”: the gulf between user expectation and experience of conversational agents. In: Proceedings of the 2016 CHI conference on human factors in computing systems. ACM, San Jose, pp 5286–5297

  • Mädche A, Morana S, Schacht S, Werth D, Krumeich J (2016) Advanced user assistance systems. Bus Inf Syst Eng 58(5):367–370

    Article  Google Scholar 

  • Mettler T, Bächle M, Daurer S, Judt A (2017) Parental control reversed: using ADR for designing a low-cost monitoring system for elderly. In: Proceedings of the international conference on information systems. AIS, Seoul

  • Mori M (1970) The uncanny valley. Energy 7(4):33–35

    Google Scholar 

  • Nass C, Fogg BJ, Moon Y (1996) Can computers be teammates? Int J Hum Comput Stud 45(6):669–678

    Article  Google Scholar 

  • Nass C, Moon Y, Carney P (1999) Are people polite to computers? Responses to computer-based interviewing systems. J Appl Soc Psychol 29(5):1093–1109

    Article  Google Scholar 

  • Nisbett RE, Wilson TD (1977) Telling more than we can know: verbal reports on mental processes. Psychol Rev 84(3):231

    Article  Google Scholar 

  • Norman DA (1986) Cognitive engineering. In: Norman DA, Draper SW (eds) User-centered system design: new perspectives on human–computer interaction. Lawrence Erlbaum, Hillsdale, pp 31–61

    Chapter  Google Scholar 

  • Nunamaker JF, Derrick DC, Elkins AC, Burgoon JK, Patton MW (2011) Embodied conversational agent-based kiosk for automated interviewing. J Manag Inf Syst 28(1):17–48

    Article  Google Scholar 

  • Ochs M, Pelachaud C, Mckeown G (2017) A user perception – based approach to create smiling embodied conversational agents. ACM Trans Interact Intell Syst 7(1):4

    Article  Google Scholar 

  • Paixon GmbH (2018) Willkommen beim Wellness-Ratgeber Noora.ch. https://noora.ch/chat. Accessed 30 Oct 2018

  • Picard RW, Vyzas E, Healey J (2001) Toward machine emotional intelligence: analysis of affective physiological state. IEEE Trans Pattern Anal Mach Intell 23(10):1175–1191

    Article  Google Scholar 

  • Powers A, Kramer AD, Lim S, Kuo J, Lee SL, Kiesler S (2005) Eliciting information from people with a gendered humanoid robot. In: Proceedings of the IEEE international workshop on robot and human interactive communication. IEEE, Nashville. https://doi.org/10.1109/roman.2005.1513773

  • Qiu L, Benbasat I (2009) Evaluating anthropomorphic product recommendation agents: a social relationship perspective to designing information systems. J Manag Inf Syst 25(4):145–182

    Article  Google Scholar 

  • Reynolds KE, Beatty SE (1999) Customer benefits and company consequences of customer–salesperson relationships in retailing. J Retail 75(1):11–32

    Article  Google Scholar 

  • Saygin AP, Chaminade T, Ishiguro H, Driver J, Frith C (2012) The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions. Soc Cogn Affect Neurosci 7(4):413–422

    Article  Google Scholar 

  • Schuetzler R, Grimes M, Giboney J, Buckman J (2014) Facilitating natural conversational agent interactions: lessons from a deception experiment. In: Proceedings of the international conference on information systems. AIS, Auckland

  • Shah KB, Shetty MS, Shah DP, Pamnani R (2017) Approaches towards building a banking assistant. Int J Comput Appl 166(11):1–6

    Google Scholar 

  • Siegel M, Breazeal C, Norton MI (2009) Persuasive robotics: the influence of robot gender on human behavior. In: IEEE/RSJ international conference on intelligent robots and systems. IEEE, St. Louis, pp 2563–2568. https://doi.org/10.1109/iros.2009.5354116

  • Wang W (2017) Smartphones as social actors? Social dispositional factors in assessing anthropomorphism. Comput Hum Behav 68:334–344

    Article  Google Scholar 

  • Weizenbaum J (1966) ELIZA – a computer program for the study of natural language communication between man and machine. Commun ACM 9(1):36–45

    Article  Google Scholar 

  • Wen Wan E, Peng Chen R, Jin L (2017) Judging a book by its cover? The effect of anthropomorphism on product attribute processing and consumer preference. J Consum Res 43(6):1008–1030

    Google Scholar 

  • White RW (1959) Motivation reconsidered: the concept of competence. Psychol Rev 66(5):297

    Article  Google Scholar 

  • Wilks Y (2010) Is a companion a distinctive kind of relationship with a machine? In: Proceedings of the 2010 workshop on companionable dialogue systems, association for computational linguistics, Stroudsburg, pp 13–18

  • Zhang T, Zhu B, Lee L, Kaber D (2008) Service robot anthropomorphism and interface design for emotion in human-robot interaction. In: IEEE international conference on automation science and engineering 2008. IEEE, Arlington, pp 674–679

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Oliver Hinz.

Additional information

Accepted after one revision by Prof. Dr. Weinhardt.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pfeuffer, N., Benlian, A., Gimpel, H. et al. Anthropomorphic Information Systems. Bus Inf Syst Eng 61, 523–533 (2019). https://doi.org/10.1007/s12599-019-00599-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12599-019-00599-y

Keywords

Navigation