Bosses without a heart: socio-demographic and cross-cultural determinants of attitude toward Emotional AI in the workplace

AI & SOCIETY - Tập 38 Số 1 - Trang 97-119 - 2023
Peter Mantello1, Tung Manh Ho1, Minh‐Hoang Nguyen2, Quan‐Hoang Vuong2
1Ritsumeikan Asia Pacific University, Beppu, Oita, 874-8577, Japan
2Centre for Interdisciplinary Social Research, Phenikaa University, Yen Nghia Ward, Ha Dong District, Hanoi 100803, Vietnam

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Aczel B, Hoekstra R, Gelman A, Wagenmakers E-J et al (2020) Discussion points for Bayesian inference. Nat Hum Behav 4(6):561–563. https://doi.org/10.1038/s41562-019-0807-z

Adnan AAZ, Yunus NKY, Ghouri AM (2019) Does religiosity matter in the era of industrial revolution 4.0? Asian Acad Manag J 24(2):67–77. https://doi.org/10.2139/ssrn.3508417

Adorno TW, Horkheimer M (2002) Dialectic of enlightenment. Stanford University Press, Stanford

Akvik A, Salvanes KG, Vaage K (2005) Educational attainment and family background. German Econ Rev 6(3):377–394. https://doi.org/10.1111/j.1468-0475.2005.00138.x

Ali J (2012) Factors affecting the adoption of information and communication technologies (ICTs) for farming decisions. J Agric Food Inf 13(1):78–96. https://doi.org/10.1080/10496505.2012.636980

Alsaleh DA, Elliott MT, Fu FQ, Thakur R (2019) Cross-cultural differences in the adoption of social media. J Res Interact Mark 13(1):119–140. https://doi.org/10.1108/JRIM-10-2017-0092

APU Website (2021) Student enrolment by country/region. Retrieved 2021, August 18 from https://en.apu.ac.jp/home/about/content250/Student_Enrollment_by_CountryRegion_E.pdf

APU (2021) Job placement and advancement. Retrieved 2021 August 12 from https://en.apu.ac.jp/home/career/content9/

Araujo T, Helberger N, Kruikemeier S, de Vreese CH (2020) In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI Soc 35(3):611–623. https://doi.org/10.1007/s00146-019-00931-w

Ball K (2010) Workplace surveillance: an overview. Labor History 51(1):87–106

Barrett LF (2017) How emotions are made: the secret life of the brain. Houghton Mifflin Harcourt, Boston

Barrett LF, Adolphs R, Marsella S, Martinez AM, Pollak SD (2019) Emotional expressions reconsidered: challenges to inferring emotion from human facial movements. Psychol Sci Public Interest 20(1):1–68. https://doi.org/10.1177/1529100619832930

Batte MT, Arnholt MW (2003) Precision farming adoption and use in Ohio: case studies of six leading-edge adopters. Comput Electron Agric 38(2):125–139

Bin Dahmash A, Alabdulkareem M, Alfutais A, Kamel AM, Alkholaiwi F, Alshehri S, Al Zahrani Y, Almoaiqel M (2020) Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career? BJR Open 2(1):20200037. https://doi.org/10.1259/bjro.20200037

Blanden J, Gregg P (2004) Family income and educational attainment: a review of approaches and evidence for Britain. Oxf Rev Econ Policy 20(2):245–263. https://doi.org/10.1093/oxrep/grh014

Bossman J (2016) Top 9 ethical issues in artificial intelligence. Retrieved 2021, May 15 from https://www.weforum.org/agenda/2016/10/top-10-ethical-issues-in-artificial-intelligence/

Boyd R, Richerson PJ, Henrich J (2011) The cultural niche: Why social learning is essential for human adaptation. Proc Natl Acad Sci 108(Supplement 2):10918. https://doi.org/10.1073/pnas.1100290108

Brewer P, Wilson D, Bingaman J, Paintsil A, Obozintsev L (2020) Media messages and U.S. Public opinion about artificial intelligence. University of Delaware, Newark

Brougham D, Haar J (2017) Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): employees’ perceptions of our future workplace. J Manag Organ 24(2):239–257. https://doi.org/10.1017/jmo.2016.55

Buolamwini J and Gebru T (2018) Gender shades: intersectional accuracy disparities in commercial gender classification. In: Proceedings of the 1st conference on fairness, accountability and transparency, proceedings of machine learning research. http://proceedings.mlr.press

Cabanas E, Illouz E (2019) Manufacturing happy citizens: How the science and industry of happiness control our lives. Wiley, Hoboken

Cai Z, Fan X, Du J (2017) Gender and attitudes toward technology use: a meta-analysis. Comput Educ 105:1–13. https://doi.org/10.1016/j.compedu.2016.11.003

Chen S-Y, Lee C (2019) Perceptions of the impact of high-level-machine-intelligence from university students in Taiwan: the case for human professions, autonomous vehicles, and smart homes. Sustainability. https://doi.org/10.3390/su11216133

Chen C, Crivelli C, Garrod OGB, Schyns PG, Fernández-Dols J-M, Jack RE (2018) Distinct facial expressions represent pain and pleasure across cultures. Proc Natl Acad Sci 115(43):E10013. https://doi.org/10.1073/pnas.1807862115

Clayton PR, Clopton J (2019) Business curriculum redesign: integrating data analytics. J Educ Bus 94(1):57–63

Coclough C (2018) When algorithms hire and fire. Int Union Rights 25(3):6–7. http://www.thefutureworldofwork.org/media/35506/iur-colclough.pdf

Cooley M (1980) Computerization Taylor’s latest disguise. Econ Ind Democr 1(4):523–539

Cornerstoneondemand (2021) Adapt your people. Accelerate your business. Retrieved 2021, August 20 from https://www.cornerstoneondemand.com/releases/february2021/

Crawford K (2021) Time to regulate AI that interprets human emotions. Nature. https://doi.org/10.1038/d41586-021-00868-5

Crowley M, Tope D, Chamberlain LJ, Hodson R (2010) Neo-Taylorism at work: occupational change in the Post-Fordist Era. Soc Probl 57(3):421–447. https://doi.org/10.1525/sp.2010.57.3.421

Culver SM, Puri IK, Wokutch RE, Lohani V (2013) Comparison of engagement with ethics between an engineering and a business program. Sci Eng Ethics 19(2):585–597. https://doi.org/10.1007/s11948-011-9346-3

Curren MT, Harich KR (1996) Business ethics: a comparison of business and humanities students and faculty. J Educ Bus 72(1):9–11. https://doi.org/10.1080/08832323.1996.10116818

Damerji H, Salimi A (2021) Mediating effect of use perceptions on technology readiness and adoption of artificial intelligence in accounting. Acc Educ 30(2):107–130. https://doi.org/10.1080/09639284.2021.1872035

Davies W (2015) The happiness industry: How the government and big business sold us well-being. Verso Books, New York

Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340

de Oliveira S, Nisbett RE (2017) Culture changes how we think about thinking: from “Human Inference” to “Geography of Thought.” Perspect Psychol Sci 12(5):782–790

Drucker PF (1992) The new society of organizations. In: Harvard business review (September–October 1992)

Ekman P (1999) Basic emotions. In: Dalgleish T, Power M (eds) Handbook of cognition and emotion. Wiley, Hoboken

European commission (2021) Proposal for a regulation of the European parliament and of the council laying down harmonised rules on artificial intelligence (artificial intelligence act) and amending certain union legislative acts. Document 52021PC0206. https://eur-lex.europa.eu/resource.html?uri=cellar:e0649735-a372-11eb-9585-01aa75ed71a1.0001.02/DOC_1&format=PDF

Fouriezos N (2019) How A.I. could fix workplace harassment. Retrieved 2021, March 14 from https://www.ozy.com/the-new-and-the-next/ai-has-its-biases-now-it-might-also-fix-discrimination-harassment/96772/

Gal U, Jensen TB, Stein M-K (2020) Breaking the vicious cycle of algorithmic management: a virtue ethics approach to people analytics. Inf Organ 30(2):100301. https://doi.org/10.1016/j.infoandorg.2020.100301

Gherheș V, Obrad C (2018) Technical and humanities students’ perspectives on the development and sustainability of artificial intelligence (AI). Sustainability. https://doi.org/10.3390/su10093066

Gu Y, You X (2020) Recovery experiences buffer against adverse well-being effects of workplace surface acting: a two-wave study of hospital nurses. J Adv Nurs 76(1):209–220. https://doi.org/10.1111/jan.14236

Hardt M (1999) Affective labor. Boundary 2 26(2):89–100

Healey K (2020) Coercion, consent, and the struggle for social media. In: Wilkins L, Clifford GC (eds) The Routledge handbook of mass media ethics. Routledge, pp 321–335

Heaven D (2020) Why faces don’t always tell the truth about feelings. Nature 578:502–504. https://doi.org/10.1038/d41586-020-00507-5

Henrich J (2020) The WEIRDest people in the world: How the West became psychologically peculiar and particularly prosperous. Farrar Straus and Giroux, New York

Hochschild AR (2012) The managed heart: commercialization of human feeling. University of California Press, California

Huffman AH, Whetten J, Huffman WH (2013) Using technology in higher education: the influence of gender roles on technology self-efficacy. Comput Hum Behav 29(4):1779–1786. https://doi.org/10.1016/j.chb.2013.02.012

Indregard AMR, Ulleberg P, Knardahl S, Nielsen MB (2018) Emotional dissonance and sickness absence among employees working with customers and clients: a moderated mediation model via exhaustion and human resource primacy. Front Psychol 9:436

Jeung DY, Kim C, Chang SJ (2018) Emotional labor and burnout: a review of the literature. Yonsei Med J 59(2):187–193

Kappas A (2010) Smile when you read this, whether you like it or not: conceptual challenges to affect detection. IEEE Trans Affect Comput 1(1):38–41. https://doi.org/10.1109/T-AFFC.2010.6

La V-P and Vuong Q-H (2019) bayesvl: Visually learning the graphical structure of bayesian networks and performing MCMC with 'Stan.' https://cran.r-project.org/web/packages/bayesvl/index.html (version 0.8.5 (officialy published on May 24, 2019))

La Torre G, Esposito A, Sciarra I, Chiappetta M (2019) Definition, symptoms and risk of techno-stress: a systematic review. Int Arch Occup Environ Health 92(1):13–35

Larradet F, Niewiadomski R, Barresi G, Caldwell DG, Mattos LS (2020) Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection [Review]. Front Psychol. https://doi.org/10.3389/fpsyg.2020.01111

Lecher C (2019) How Amazon automatically tracks and fires warehouse workers for ‘productivity’. Retrieved March 23, 2021 from https://www.theverge.com/2019/4/25/18516004/amazon-warehouse-fulfillment-centers-productivity-firing-terminations

Leighton CL (2012) Workplace emotion regulation: making the case for emotional labour and emotion work Doctor of Philosophy. University of Western Australia, Perth

Leys R (2017) The ascent of affect: genealogy and critique. University of Chicago Press, Chicago

Lisetti C, Schiano D (2000) Automatic facial expression interpretation: Where human-computer interaction, artificial intelligence and cognitive science intersect. Pragmat Cogn 8:185–235

Luck K (2019) The nail that sticks up isn't always hammered down: women, employment discrimination, and litigiousness in Japan (Publication Number 5842) [Virginia Commonwealth University]. https://doi.org/10.25772/2238-D408

Lupton D (2016) The diverse domains of quantified selves: self-tracking modes and dataveillance. Econ Soc 45(1):101–122

Macmillan L, Tyler C, Vignoles A (2015) Who gets the top jobs? The role of family background and networks in recent graduates’ access to high-status professions. J Soc Policy 44(3):487–515

Manokha I (2018) Surveillance, panopticism, and self-discipline in the digital age. Surveill Soc 16(2):219–237. https://doi.org/10.24908/ss.v16i2.8346

Manokha I (2020) The implications of digital employee monitoring and people analytics for power relations in the workplace. Surveill Soc 18(4):540–554. https://doi.org/10.24908/ss.v18i4.13776

Mantello P (2016) The machine that ate bad people: the ontopolitics of the precrime assemblage. Big Data Soc 3(2):2053951716682538. https://doi.org/10.1177/2053951716682538

Marciano A (2019) Reframing biometric surveillance: from a means of inspection to a form of control. Ethics Inf Technol 21(2):127–136

Marx K (1983) Grundrisse: foundations of the critique of political economy. Penguin, London

Mateescu A and Nguyen A (2019) Explainer: workplace monitoring and surveillance. Retrieved 2021, May 15 from https://datasociety.net/wp-content/uploads/2019/02/DS_Workplace_Monitoring_Surveillance_Explainer.pdf

McClure PK (2017) “You’re Fired”, says the robot: the rise of automation in the workplace, technophobes, and fears of unemployment. Soc Sci Comput Rev 36(2):139–156. https://doi.org/10.1177/0894439317698637

McElreath R (2020) Statistical rethinking: a Bayesian course with examples in R and Stan. CRC Press, Boca Raton

McStay A (2018) Emotional AI: the rise of empathic media. Sage, Thousand Oaks

McStay A (2020) Emotional AI, soft biometrics and the surveillance of emotional life: an unusual consensus on privacy. Big Data Soc 7(1):2053951720904386. https://doi.org/10.1177/2053951720904386

Meek CB (2004) The dark side of Japanese management in the 1990s. J Manag Psychol 19(3):312–331. https://doi.org/10.1108/02683940410527775

Mitchell M (2019) Artificial intelligence: A guide for thinking humans. Penguin UK, London

Moore PV, Woodcock J (eds) (2021) Augmented exploitation: artificial intelligence, automation, and work. Pluto Press, London

Moore P, Robinson A (2015) The quantified self: What counts in the neoliberal workplace. New Media Soc 18(11):2774–2792. https://doi.org/10.1177/1461444815604328

Muk A, Chung C (2015) Applying the technology acceptance model in a two-country study of SMS advertising. J Bus Res 68(1):1–6. https://doi.org/10.1016/j.jbusres.2014.06.001

Muñoz-Leiva F, Mayo-Muñoz X, De la Hoz-Correa A (2018) Adoption of homesharing platforms: a cross-cultural study. J Hosp Tour Insights 1(3):220–239. https://doi.org/10.1108/JHTI-01-2018-0007

Nguyen M-H, Serik M, Vuong T-T, Ho M-T (2019) Internationalization and its discontents: help-seeking behaviors of students in a multicultural environment regarding acculturative stress and depression. Sustainability. https://doi.org/10.3390/su11071865

Nguyen M-H, Le T-T, Nguyen H-KT et al (2021) Alice in suicideland: exploring the suicidal ideation mechanism through the sense of connectedness and help-seeking behaviors. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph18073681

Northeastern University and Gallup (2018) Optimism and anxiety: views on the impact of artificial intelligence and higher education’s response. Retrieved 2021 August 11 from https://www.northeastern.edu/gallup/pdf/OptimismAnxietyNortheasternGallup.pdf

Ota H (2018) Internationalization of higher education: global trends and Japan’s challenges. Educ Stud Jpn 12:91–105. https://doi.org/10.7571/esjkyoiku.12.91

Partner P (2020) How to beat A.I. in landing a job. Retrieved 4 Oct 2021 from https://bigthink.com/technologyinnovation/how-to-beat-a-i-in-landing-a-job?rebelltitem=2#rebelltitem2

Picard RW (1997) Affective computing. MIT Press, Cambridge

Picard R, Klein J (2002) Computers that recognize and respond to user emotion: theoretical and practical implications. Interact Comput 14:141–169

Picard RW (1995) Affective computing. In: MIT Media Laboratory Perceptual Computing Section Technical Report No. 321, 2139

Pinto dos Santos D, Giese D, Brodehl S, Chon SH, Staab W, Kleinert R, Maintz D, Baeßler B (2019) Medical students’ attitude towards artificial intelligence: a multicentre survey. Eur Radiol 29(4):1640–1646. https://doi.org/10.1007/s00330-018-5601-1

Prentice C, Dominique Lopes S, Wang X (2020) Emotional intelligence or artificial intelligence—an employee perspective. J Hosp Market Manag 29(4):377–403. https://doi.org/10.1080/19368623.2019.1647124

Rear D (2020) Persisting values in the Japanese workplace: managerial attitudes towards work skills. Japan Forum. https://doi.org/10.1080/09555803.2020.1726434

Reardon J (1998) The history and impact of worksite wellness. Nurs Econ 16(3):117

Rhue L (2019) Anchored to bias: How AI-human scoring can induce and reduce bias due to the anchoring effect. SSRN J. https://doi.org/10.2139/ssrn.3492129 (Available at SSRN 3492129)

Richardson S (2020) Affective computing in the modern workplace. Bus Inf Rev 37(2):78–85. https://doi.org/10.1177/0266382120930866

Roberts H, Cowls J, Morley J, Taddeo M, Wang V, Floridi L (2020) The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation. AI Soc. https://doi.org/10.1007/s00146-020-00992-2

Rosenblat A (2018) Uberland: How algorithms are rewriting the rules of work. University of California Press, California

Rukavina S, Gruss S, Hoffmann H, Tan J-W, Walter S, Traue HC (2016) Affective computing and the impact of gender and age. PLoS ONE 11(3):e0150584. https://doi.org/10.1371/journal.pone.0150584

Russell JA, Bachorowski J, Fernandez-Dols J (2003) Facial and vocal expressions of emotion. Annu Rev Psychol 54:329–349

Sana A (1991) Zen and Japanese economic performance. Int J Sociol Soc Policy 11(4):17–36. https://doi.org/10.1108/eb013135

Sarwar S, Dent A, Faust K, Richer M, Djuric U, Van Ommeren R, Diamandis P (2019) Physician perspectives on integration of artificial intelligence into diagnostic pathology. NPJ Digit Med 2(1):28. https://doi.org/10.1038/s41746-019-0106-0

Simon HA (1986) Rationality in psychology and economics. J Bus 59(4):S209–S224. http://www.jstor.org/stable/2352757

Singh M (2020) Google workers demand reinstatement and apology for fired Black AI ethics researcher. Retrieved January 23, 2021 from https://www.theguardian.com/technology/2020/dec/16/google-timnit-gebru-fired-letter-reinstated-diversity

Spiegelhalter D (2019) The art of statistics: Learning from data. Penguin UK, London

Stukas AA, Snyder M, Clary EG (1999) The effects of “Mandatory Volunteerism” on intentions to volunteer. Psychol Sci 10(1):59–64. https://doi.org/10.1111/1467-9280.00107

Taherdoost H (2018) A review of technology acceptance and adoption models and theories. Procedia Manuf 22:960–967. https://doi.org/10.1016/j.promfg.2018.03.137

Telford T (2019) ‘Emotion detection’ AI is a $20 billion industry. New research says it can’t do what it claims. Retrieved 05 Jan 2021 from https://www.washingtonpost.com/business/2019/07/31/emotion-detection-ai-isbillion-industry-new-research-says-it-cant-do-what-it-claims/

Thurman N, Moeller J, Helberger N, Trilling D (2019) My friends, editors, algorithms, and I. Digit J 7(4):447–469. https://doi.org/10.1080/21670811.2018.1493936

UNI Global Union. (n.d.). Top 10 principles for ethical artificial intelligence. Retrieved 2021 May 14 from http://www.thefutureworldofwork.org/media/35420/uni_ethical_ai.pdf

Urueña A, Arenas EÁ, Hidalgo A (2018) Understanding workers’ adoption of productivity mobile applications: a fuzzy set qualitative comparative analysis (fsQCA). Econ Res-Ekonomska Istraživanja 31(1):967–981

Vallas S, Schor JB (2020) What do platforms do? Understanding the gig economy. Ann Rev Sociol 46:273–294. https://doi.org/10.1146/annurev-soc-121919-054857

Vázquez J, García M (2011) From Taylorism to neo Taylorism: a 100 year journey in human resource management. Int Rev Public Nonprofit Mark Madrid 8(2):111–130

Vehtari A, Gabry J (2019) Bayesian Stacking and Pseudo-BMA weights using the loo package. loo 2.2.0. Retrieved Dec 27 from https://mc-stan.org/loo/articles/loo2-weights.html

Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci 46(2):186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

Vincent, J. (2021). The EU is considering a ban on AI for mass surveillance and social credit scores. Leaked regulation suggests strong new laws on AI uses. Retrieved 2021, April 16, 2021 from https://www.theverge.com/2021/4/14/22383301/eu-ai-regulation-draft-leak-surveillance-social-credit

Vuong Q-H (2020) Reform retractions to make them more transparent. Nature 582(7811):149. https://doi.org/10.1038/d41586-020-01694-x

Vuong Q-H (2021) The semiconducting principle of monetary and environmental values exchange. Econ Bus Lett 10(3):284–290

Vuong Q-H, Napier N-K (2015) Acculturation and global mindsponge: an emerging market perspective. Int J Intercult Relat 49:354–367

Vuong Q-H, Bui Q-K, La V-P et al (2018) Cultural additivity: behavioural insights from the interaction of Confucianism, Buddhism and Taoism in folktales. Palgrave Commun 4(1):143. https://doi.org/10.1057/s41599-018-0189-2

Vuong Q-H, Ho M-T, Nguyen H-KT et al (2020) On how religions could accidentally incite lies and violence: folktales as a cultural transmitter. Palgrave Commun 6(1):82. https://doi.org/10.1057/s41599-020-0442-3

Weatherley R (2002) Harmony, hierarchy and duty based morality: the Confucian antipathy towards rights. J Asian Pacific Commun 12(2):245–267

West DM (2018) Brookings survey finds worries over AI impact on jobs and personal privacy, concern U.S. will fall behind China. Retrieved 2021 from https://www.brookings.edu/blog/techtank/2018/05/21/brookings-survey-finds-worries-over-ai-impact-on-jobs-and-personal-privacy-concern-u-s-will-fall-behind-china/

Whitman CB (1985) Privacy in Confucian and Taoist thought. In: Munro D (ed) Individualism and Holism: studies in Confucian and Taoist values. Univ. of Michigan, Center for Chinese Studies, Michigan

Wilkens U (2020) Artificial intelligence in the workplace—a double-edged sword. Int J Inf Learn Technol 37(5):253–265. https://doi.org/10.1108/IJILT-02-2020-0022

Woodcock J (2016) Working the phones: control and resistance in call centres. Pluto Press, London

Wright J (2021) Suspect AI: vibraimage, emotion recognition technology and algorithmic opacity. Sci Technol Soc. https://doi.org/10.1177/09717218211003411