Abstract
People’s comfort with and acceptability of artificial intelligence (AI) instantiations is a topic that has received little systematic study. This is surprising given the topic’s relevance to the design, deployment and even regulation of AI systems. To help fill in our knowledge base, we conducted mixed-methods analysis based on a survey of a representative sample of the US population (N = 2254). Results show that there are two distinct social dimensions to comfort with AI: as a peer and as a superior. For both dimensions, general and technological efficacy traits—locus of control, communication apprehension, robot phobia, and perceived technology competence—are strongly associated with acceptance of AI in various roles. Female and older respondents also were less comfortable with the idea of AI agents in various roles. A qualitative analysis of comments collected from respondents complemented our statistical approach. We conclude by exploring the implications of our research for AI acceptability in society.
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References
Anderson J, Rainie L, Luchsinger A (2018) Artificial intelligence and the future of humans, Pew Research Center. https://www.pewinternet.org/2018/12/10/artificial-intelligence-and-the-future-of-humans/
Banks J, Edwards A (2019) A common social distance scale for robots and humans. In: 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 1–6. IEEE. https://doi.org/10.1109/RO-MAN46459.2019.8956316
Bassett C, Roberts B (2019) Automation now and then: automation fevers, anxieties and utopias. New Format 98(98):9–28. https://doi.org/10.3898/NEWF:98.02.2019
Brown SA, Fuller RM, Vician C (2004) Who’s afraid of the virtual world? Anxiety and computer-mediated communication. J Assoc Inform Syst 5(2):79–107. https://doi.org/10.17705/1jais.00046
Brundage M, Avin S, Clark J, Toner H, Eckersley P, Garfinkel B, Amodei D (2018) The malicious use of artificial intelligence: forecasting, prevention, and mitigation, arXiv preprint, https://arxiv.org/ftp/arxiv/papers/1802/1802.07228.pdf
Campbell J (2006) Media richness, communication apprehension and participation in group videoconferencing. J Inform Inform Technol Organ 1:87–96. https://doi.org/10.28945/149
Clerwall C (2014) Enter the robot journalist: users’ perceptions of automated content. J Pract 8(5):519–531. https://doi.org/10.1080/17512786.2014.883116
Coovert MD, Goldstein M (1980) Locus of control as a predictor of users’ attitude toward computers. Psychol Rep 47(3 suppl):1167–1173. https://doi.org/10.2466/pr0.1980.47.3f.1167
Correa T, Hinsley AW, De Zuniga HG (2010) Who interacts on the web? The intersection of users’ personality and social media use. Comput Hum Behav 26(2):247–253. https://doi.org/10.1016/j.chb.2009.09.003
Crable EA, Brodzinski JD, Scherer RF, Jones PD (1994) The impact of cognitive appraisal, locus of control, and level of exposure on the computer anxiety of novice computer users. J Educ Comput Res 10(4):329–340. https://doi.org/10.2190/K2YH-MMJV-GBBL-YTTU
Dautenhahn K, Woods S, Kaouri C, Walters ML, Koay KL, Werry I (2005). What is a robot companion-friend, assistant or butler?. In 2005 IEEE/RSJ international conference on intelligent robots and systems (pp. 1192–1197) IEEE.
Damholdt MF, Nørskov M, Yamazaki R, Hakli R, Hansen CV, Vestergaard C, Seibt J (2015) Attitudinal change in elderly citizens toward social robots: the role of personality traits and beliefs about robot functionality. Front Psychol 6:1701. https://doi.org/10.3389/fpsyg.2015.01701
Edwards C, Edwards A, Stoll B, Lin X, Massey N (2019) Evaluations of an artificial intelligence instructor’s voice: social identity theory in human-robot interactions. Comput Hum Behav 90:357–362. https://doi.org/10.1016/j.chb.2018.08.027
Ericsson (2017) 10 hot consumer trends 2017. https://www.ericsson.com/en/trends-and-insights/consumerlab/consumer-insights/reports/10-hot-consumer-trends-2017#trend1aieverywhere
Eyssel F, Kuchenbrandt D (2012) Social categorization of social robots: anthropomorphism as a function of robot group membership. Br J Soc Psychol 51(4):724–731. https://doi.org/10.1111/j.2044-8309.2011.02082.x
Eysenck SBG, Eysenck HJ, Barrett P (1985) A revised version of the psychoticism scale. Personal Individ Differ 6(1):21–29. https://doi.org/10.1016/0191-8869(85)90026-1
Ferrari F, Paladino MP, Jetten J (2016) Blurring human–machine distinctions: anthropomorphic appearance in social robots as a threat to human distinctiveness. Int J Soc Robot 8(2):287–302. https://doi.org/10.1007/s12369-016-0338-y
Floridi L (2014) The fourth revolution: how the infosphere is reshaping human reality. OUP, Oxford
Fong LHN, Lam LW, Law R (2017) How locus of control shapes intention to reuse mobile apps for making hotel reservations: evidence from Chinese consumers. Tour Manag 61:331–342. https://doi.org/10.1016/j.tourman.2017.03.002
Gambino A, Fox J, Ratan RA (2020) Building a stronger CASA: extending the computers are social actors paradigm. Hum Mach Commun 1(1):5. https://doi.org/10.30658/hmc.1.5
Grace K, Salvatier J, Dafoe A, Zhang B, Evans O (2018) When will AI exceed human performance? Evidence from AI experts. J Artif Intell Res 62:729–754. https://doi.org/10.1613/jair.1.11222
Gunkel DJ (2018) The relational turn: third wave HCI and phenomenology. In: Filimowicz M, Tzankova V (eds) New directions in third wave human-computer interaction: Volume 1—technologies human–computer interaction series. Springer, Cham. https://doi.org/10.1007/978-3-319-73356-2_2
Guzman AL (2017) Making AI safe for humans: a conversation with Siri. In: Gehl RW, Bakardjieva M (eds) Socialbots and their friends: digital media and the automation of sociality. Routledge, New York, pp 69–85
Guzman AL (2018) What is human-machine communication, anyway? In: Guzman AL (ed) Human-machine communication: rethinking communication, technology, and ourselves. Peter Lang, New York, pp 1–28
Guzman AL, Lewis SC (2020) Artificial intelligence and communication: a human-machine communication research agenda. New Media Soc 22(1):70–86. https://doi.org/10.1177/1461444819858691
Guzman AL (2020) Ontological boundaries between humans and computers and the implications for human-machine communication. Hum-Mach Commun 1(1):37–54. https://doi.org/10.3058/hmc.1.3
Hancock JT, Naaman M, Levy K (2020) AI-mediated communication: definition, research agenda, and ethical considerations. J Comput-Mediat Commun 25(1):89–100. https://doi.org/10.1093/jcmc/zmz022
Hinds P, Roberts T, Jones H (2004) Whose job is it anyway? A study of human–robot interaction in a collaborative task. Hum-Comput Interact 19(12):151–181. https://doi.org/10.1080/07370024.2004.9667343
Höflich JR (2013) Relationships to social robots: towards a triadic analysis of media-oriented behavior. Intervalla Platf Intell Exch 1(1):35–48
Hsia JW, Chang CC, Tseng AH (2014) Effects of individuals’ locus of control and computer self-efficacy on their e-learning acceptance in high-tech companies. Behav Inform Technol 33(1):51–64. https://doi.org/10.1080/0144929X.2012.702284
Hsia JW (2016) The effects of locus of control on university students’ mobile learning adoption. J Comput High Educ 28(1):1–17. https://doi.org/10.1007/s12528-015-9103-8
Hsieh HF, Shannon SE (2005) Three approaches to qualitative content analysis. Qual Health Res 15(9):1277–1288. https://doi.org/10.1177/1049732305276687
Joosse M, Lohse M, Pérez JG, Evers V (2013) What you do is who you are: the role of task context in perceived social robot personality. In: 2013 IEEE International Conference on Robotics and Automation, pp 2134–2139. IEEE. https://doi.org/10.1109/ICRA.2013.6630863
Katz J, Halpern D (2014) Attitudes towards robot’s suitability for various jobs as affected robot appearance. Behav Inform Technol 33(9):941–953. https://doi.org/10.1080/0144929X.2013.783115
Kim Y, Mutlu B (2014) How social distance shapes human–robot interaction. Int J Hum Comput Stud 72(12):783–795. https://doi.org/10.1016/j.ijhcs.2014.05.005
Levine T, Hullett CR, Turner MM, Lapinski MK (2006) The desirability of using confirmatory factor analysis on published scales. Commun Res Rep 23(4):309–314. https://doi.org/10.1080/08824090600962698
Lida BL, Chaparro BS (2002) Using the locus of control personality dimension as a predictor of online behavior. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 46(14):1286–1290. https://doi.org/10.1177/154193120204601410
McCroskey JC (1982) An introduction to rhetorical communication, 4th edn. Prentice-Hall, Englewood Cliffs
McCroskey JC (1984) The communication apprehension perspective. Avoiding communication: shyness, reticence, and communication apprehension. Hampton Press, New York, pp 13–38
Makridakis S (2017) The forthcoming Artificial Intelligence (AI) revolution: its impact on society and firms. Futures 90:46. https://doi.org/10.1016/j.futures.2017.03.006
Mays KK, Katz J, Groshek J (2020) Mediated communication and customer service experiences: psychological and demographic predictors of user evaluations in the United States. In: Proceedings of the 53rd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2020.337
Nass C, Moon Y (2000) Machines and mindlessness: social responses to computers. J Soc Issues 56(1):81–103. https://doi.org/10.1111/0022-4537.00153
Nomura T, Suzuki T, Kanda T, Kato K (2006) Measurement of anxiety toward robots. In: ROMAN 2006-The 15th IEEE International Symposium on Robot and Human Interactive Communication, Institute of Electrical and Electronics Engineers, Hatfield, United Kingdom, pp 372–377. https://doi.org/10.1109/ROMAN.2006.314462
Oberoi E (2019) Differences between robotics and artificial intelligence. SkyfiLabs.com. https://www.skyfilabs.com/blog/difference-between-robotics-and-artificial-intelligence#:~:text=What%20is%20the%20basic%20difference,t%20need%20to%20be%20physical
Pegasystems (2018) What do consumers really think about AI: a global study [PowerPoint slides]. https://www.pega.com/ai-survey
Purington A, Taft JG, Sannon S, Bazarova NN, Taylor SH (2017) Alexa is my new BFF: social roles, user satisfaction, and personification of the Amazon Echo. In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Association for Computing Machinery, Denver, Colorado, pp 2853–2859. https://doi.org/10.1145/3027063.3053246
Reeves B, Nass CI (1996) The media equation: how people treat computers, television, and new media like real people and places. Cambridge University Press
Rifkin J (2011) The third industrial revolution: how lateral power is transforming energy, the economy, and the world. Macmillan
Robert LP (2018) Personality in the human robot interaction literature: a review and brief critique. In: Proceedings of the 24th Americas Conference on Information Systems, Aug, pp 16–18
Rockwell S, Singleton L (2002) The effects of computer anxiety and communication apprehension on the adoption and utilization of the internet. Electron J Commun 12(1):437–454
Rotter JB (1966) Generalized expectancies for internal versus external control of reinforcement. Psychol Monogr Gen Appl 80(1):1–28, American Psychological Association. https://psycnet.apa.org/doi/https://doi.org/10.1037/h0092976
Saldaña J (2021) The coding manual for qualitative researchers, 2nd edn. Sage
Salem M, Lakatos G, Amirabdollahian F, Dautenhahn K (2015) Would you trust a (faulty) robot? Effects of error, task type and personality on human–robot cooperation and trust. In: 2015 10th ACM/IEEE International Conference on Human–Robot Interaction (HRI), pp 1–8. IEEE. https://doi.org/10.1145/2696454.2696497
Sandry E (2018) Aliveness and the off-switch in human–robot relations. In: Guzman A (ed) Human–machine communication: rethinking communication, technology, and ourselves. Peter Lang, New York, pp 51–66
Schwab K (2017) The fourth industrial revolution. Currency
Spence PR, Westerman D, Lin X (2018) A robot will take your job. How does that make you feel? In: Guzman A (ed) Human–machine communication: rethinking communication, technology, and ourselves. Peter Lang, New York, pp 185–200
Sullins JP (2012) Robots, love, and sex: the ethics of building a love machine. IEEE Trans Affect Comput 3(4):398–409. https://doi.org/10.1109/T-AFFC.2012.31
Sundar SS, Nass C (2001) Conceptualizing sources in online news. Journal of communication, 51(1):52–72
Sundar SS (2008) The MAIN model: a heuristic approach to understanding technology effects on credibility. Digital media, youth, and credibility. In: Metzger MJ, Flanagin AJ (eds) The John D. and Catherine T. MacArthur Foundation Series on Digital Media and Learning. The MIT Press, Cambridge, pp 73–100. https://doi.org/10.1162/dmal.9780262562324.073
Sundar SS (2020) Rise of machine agency: a framework for studying the psychology of human–AI interaction (HAII). J Comput-Mediat Commun 25(1):74–88. https://doi.org/10.1093/jcmc/zmz026
Sundar SS, Kim J (2019) Machine heuristic: when we trust computers more than humans with our personal information. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp 1–9. https://doi.org/10.1145/3290605.3300768
Terborgh G (1965) The automation hysteria (No. 376). WW Norton & Company Incorporated
Van Dijk JA (2006) Digital divide research, achievements and shortcomings. Poetics 34(4–5):221–235. https://doi.org/10.1016/j.poetic.2006.05.004
Venkatesh V (2000) Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf Syst Res 11(4):342–365. https://doi.org/10.1287/isre.11.4.342.11872
Waddell TF (2018) A robot wrote this? How perceived machine authorship affects news credibility. Digit J 6(2):236–255. https://doi.org/10.1080/21670811.2017.1384319
Walsh J, Katz JE, Andersen BL, Groshek J (2018) Personal power and agency when dealing with interactive voice response systems and alternative modalities. Media and Communication 6(3):60–68.
Weiner N (1948) Cybernetics, or Control and communication in the animal and the machine. New York: John Wiley
West D, Allen J (2018) How Artificial Intelligence is transforming the world. Brookings Institute report. https://www.brookings.edu/research/how-artificial-intelligence-is-transforming-the-world/
Yogeeswaran K, Złotowski J, Livingstone M, Bartneck C, Sumioka H, Ishiguro H (2016) The interactive effects of robot anthropomorphism and robot ability on perceived threat and support for robotics research. J Hum Rob Interact 5(2):29–47. https://doi.org/10.5898/JHRI.5.2.Yogeeswaran
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Mays, K.K., Lei, Y., Giovanetti, R. et al. AI as a boss? A national US survey of predispositions governing comfort with expanded AI roles in society. AI & Soc 37, 1587–1600 (2022). https://doi.org/10.1007/s00146-021-01253-6
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DOI: https://doi.org/10.1007/s00146-021-01253-6