research-article

How Culture Shapes What People Want From AI

Authors:

Hazel Rose Markus,

Jeanne L TsaiAuthors Info & Claims

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Article No.: 95, Pages 1 - 15

https://doi.org/10.1145/3613904.3642660

Published: 11 May 2024 Publication History

Abstract

There is an urgent need to incorporate the perspectives of culturally diverse groups into AI developments. We present a novel conceptual framework for research that aims to expand, reimagine, and reground mainstream visions of AI using independent and interdependent cultural models of the self and the environment. Two survey studies support this framework and provide preliminary evidence that people apply their cultural models when imagining their ideal AI. Compared with European American respondents, Chinese respondents viewed it as less important to control AI and more important to connect with AI, and were more likely to prefer AI with capacities to influence. Reflecting both cultural models, findings from African American respondents resembled both European American and Chinese respondents. We discuss study limitations and future directions and highlight the need to develop culturally responsive and relevant AI to serve a broader segment of the world population.

Supplemental Material

MP4 File - Video Preview

Video Preview

Download
10.28 MB

MP4 File - Video Presentation

Video Presentation

Transcript for: Video Presentation

References

[1]

Emile Aarts and Boris de Ruyter. 2009. New research perspectives on Ambient Intelligence. Journal of Ambient Intelligence and Smart Environments 1 (2009), 5–14. Issue 1. https://doi.org/10.3233/AIS-2009-0001

[2]

James D Abbey and Margaret G Meloy. 2017. Attention by design: Using attention checks to detect inattentive respondents and improve data quality. J. Oper. Manage. 53-56, 1 (Nov. 2017), 63–70.

Digital Library

[3]

Anna M. H. Abrams, Pia S. C. Dautzenberg, Carla Jakobowsky, Stefan Ladwig, and Astrid M. Rosenthal-von der Pütten. 2021. A Theoretical and Empirical Reflection on Technology Acceptance Models for Autonomous Delivery Robots. In Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (Boulder, CO, USA) (HRI ’21). Association for Computing Machinery, New York, NY, USA, 272–280. https://doi.org/10.1145/3434073.3444662

Digital Library

[4]

Glenn Adams and Hazel Rose Markus. 2001. Culture As Patterns: An Alternative Approach to the Problem of Reification. Culture & Psychology 7, 3 (2001), 283–296. https://doi.org/10.1177/1354067X0173002 arXiv:https://doi.org/10.1177/1354067X0173002

[5]

Glenn Adams and Hazel Rose Markus. 2004. Toward a Conception of Culture Suitable for a Social Psychology of Culture.Lawrence Erlbaum Associates Publishers, 335–360.

[6]

Taghreed Alshehri, Norah Abokhodair, Reuben Kirkham, and Patrick Olivier. 2021. Qualitative Secondary Analysis as an Alternative Approach for Cross-Cultural Design: A Case Study with Saudi Transnationals. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 144, 15 pages. https://doi.org/10.1145/3411764.3445108

Digital Library

[7]

Edmond Awad, Sohan Dsouza, Richard Kim, Jonathan Schulz, Joseph Henrich, Azim Shariff, Jean-François Bonnefon, and Iyad Rahwan. 2018. The Moral Machine experiment. Nature 563, 7729 (Nov. 2018), 59–64.

[8]

Christine Bauer and Markus Schedl. 2019. Cross-country user connections in an online social network for music. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems.

Digital Library

[9]

Amanda Baughan, Nigini Oliveira, Tal August, Naomi Yamashita, and Katharina Reinecke. 2021. Do cross-cultural differences in visual attention patterns affect search efficiency on websites?Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3411764.3445519

Digital Library

[10]

Roy F. Baumeister and Mark R. Leary. 1995. The Need to Belong: Desire for Interpersonal Attachments as a Fundamental Human Motivation. Psychological Bulletin 117, 3 (1995), 497–529. https://doi.org/10.1037/0033-2909.117.3.497

[11]

Michael Boiger, Batja Mesquita, Annie Y. Tsai, and Hazel Markus. 2012. Influencing and adjusting in daily emotional situations: A comparison of European and Asian American action styles. Cognition and Emotion 26, 2 (2012), 332–340. https://doi.org/10.1080/02699931.2011.572422 arXiv:https://doi.org/10.1080/02699931.2011.572422PMID: 21707271.

[12]

Nick Bostrom. 2014. Superintelligence: Paths, dangers, strategies. Oxford University Press.

Digital Library

[13]

Tiffany N Brannon, Hazel Rose Markus, and Valerie Jones Taylor. 2015. “Two souls, two thoughts,” two self-schemas: double consciousness can have positive academic consequences for African Americans. J. Pers. Soc. Psychol. 108, 4 (2015), 586–609. https://doi.org/10.1037/a0038992

[14]

Erik Brynjolfsson and Tom Mitchell. 2017. What Can Machine Learning Do? Workforce Implications. Science 358, 6370 (2017), 1530–1534.

[15]

Stephen Cave and Kanta Dihal. 2019. Hopes and fears for intelligent machines in fiction and reality. Nature Machine Intelligence 1 (2019), 74–78. Issue 2. https://doi.org/10.1038/s42256-019-0020-9

[16]

Ana Paula Chaves and Marco Aurelio Gerosa. 2021. How should my chatbot interact? A survey on social characteristics in human–chatbot interaction design. Int. J. Hum. Comput. Interact. 37 (5 2021), 729–758. Issue 8.

[17]

Justin Cheng, Moira Burke, and Bethany de Gant. 2021. Country Differences in Social Comparison on Social Media. Proceedings of the ACM on Human-Computer Interaction 4 (1 2021), 1–26. Issue CSCW3. https://doi.org/10.1145/3434179

Digital Library

[18]

Sujoy Kumar Chowdhury and Jody Wynn. 2011. Cowabunga! A System to Facilitate Multi-Cultural Diversity through Couchsurfing. CHI ’11 Extended Abstracts on Human Factors in Computing Systems, 965–970. https://doi.org/10.1145/1979742.1979506

Digital Library

[19]

Adam B Cohen and Michael EW Varnum. 2016. Beyond East vs. West: social class, region, and religion as forms of culture. Current Opinion in Psychology 8 (4 2016), 5–9. https://doi.org/10.1016/j.copsyc.2015.09.006

[20]

Rob Comber, Shaowen Bardzell, Jeffrey Bardzell, Mike Hazas, and Michael Muller. 2020. Announcing a new CHI subcommittee. Interactions 27 (7 2020), 101–103. Issue 4. https://doi.org/10.1145/3407228

Digital Library

[21]

Peter Debruge. 2015. Film Review: ‘Sayonara’. https://variety.com/2015/film/reviews/sayonara-film-review-1201625975. Accessed: 2023-9-15.

[22]

Laura Devendorf and Elizabeth Goodman. 2014. The Algorithm Multiple, the Algorithm Material: Reconstructing Creative Practice. Talk given at The Contours of Algorithmic Life, a conference at UC Davis – May 15-16, 2014.

[23]

Thomas Doctor, Olaf Witkowski, Elizaveta Solomonova, Bill Duane, and Michael Levin. 2022. Biology, Buddhism, and AI: Care as the Driver of Intelligence. Entropy 24 (5 2022), 710. Issue 5. https://doi.org/10.3390/e24050710

[24]

Allison Druin. 2018. The Possibilities of Inclusion for SIGCHI. From https://sigchi.org/the-possibilities-of-inclusion-for-sigchi/.

[25]

Mohan J Dutta. 2011. Communicating Social Change. Routledge, London, England.

[26]

José Luis Encarnação Emile H.L. Aarts. 2006. True Visions: The Emergence of Ambient Intelligence. Springer, Germany; Berlin Heidelberg.

[27]

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

[28]

Vanessa Evers, Heidy C. Maldonado, Talia L. Brodecki, and Pamela J. Hinds. 2008. Relational vs. Group Self-Construal: Untangling the Role of National Culture in HRI. In Proceedings of the 3rd ACM/IEEE International Conference on Human Robot Interaction (Amsterdam, The Netherlands) (HRI ’08). Association for Computing Machinery, New York, NY, USA, 255–262. https://doi.org/10.1145/1349822.1349856

Digital Library

[29]

Alan Page Fiske, Shinobu Kitayama, Hazel Rose Markus, and Richard E Nisbett. 1998. The cultural matrix of social psychology. In The handbook of social psychology, Vols. 1-2, 4th ed.McGraw-Hill, 915–981.

[30]

Batya Friedman, Peter H. Kahn, and Jennifer Hagman. 2003. Hardware Companions? What Online AIBO Discussion Forums Reveal about the Human-Robotic Relationship. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Ft. Lauderdale, Florida, USA) (CHI ’03). Association for Computing Machinery, New York, NY, USA, 273–280. https://doi.org/10.1145/642611.642660

Digital Library

[31]

Tad Friend. 2018. How frightened should we be of A.I.?The New Yorker. Retrieved September 7, 2022, from https://www.newyorker.com/magazine/2018/05/14/how-frightened-should-we-be-of-ai (5 2018).

[32]

Adrian Furnham and Trevor Ribchester. 1995. Tolerance of Ambiguity: A Review of the Concept, Its Measurement and Applications. Current Psychology 14 (1995), 179–199. https://doi.org/10.1007/BF02686907

[33]

GAIN. n.d. Global AI narratives. Retrieved September 7, 2022, from https://www.ainarratives.com/.

[34]

Michele J Gelfand and Yoshihisa Kashima. 2016. Editorial overview: Culture: Advances in the science of culture and psychology. Current Opinion in Psychology 8 (4 2016), iv–x. https://doi.org/10.1016/j.copsyc.2015.12.011

[35]

Heather M. Gray, Kurt Gray, and Daniel M. Wegner. 2007. Dimensions of Mind Perception. Science 315, 5812 (2007), 619–619. https://doi.org/10.1126/science.1134475 arXiv:https://www.science.org/doi/pdf/10.1126/science.1134475

[36]

Yanjun Guan, Sylvia Xiaohua Chen, Nimrod Levin, Michael Harris Bond, Nanfeng Luo, Jingwen Xu, Xiang Zhou, Pei Chen, Chendi Li, Ruchunyi Fu, Jiawei Zhang, Yueting Ji, Zichuan Mo, Yumeng Li, Zheng Fang, Dongqian Jiang, and Xue Han. 2015. Differences in Career Decision-Making Profiles Between American and Chinese University Students: The Relative Strength of Mediating Mechanisms Across Cultures. Journal of Cross-Cultural Psychology 46, 6 (2015), 856–872. https://doi.org/10.1177/0022022115585874 arXiv:https://doi.org/10.1177/0022022115585874

[37]

Francisco J. Gutierrez and Sergio F. Ochoa. 2016. Mom, I Do Have a Family!Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 1402–1411. https://doi.org/10.1145/2818048.2820000

Digital Library

[38]

Shathel Haddad, Joanna McGrenere, and Claudia Jacova. 2014. Interface Design for Older Adults with Varying Cultural Attitudes toward Uncertainty. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Toronto, Ontario, Canada) (CHI ’14). Association for Computing Machinery, New York, NY, USA, 1913–1922. https://doi.org/10.1145/2556288.2557124

Digital Library

[39]

Shihui Han and Glyn Humphreys. 2016. Self-construal: a cultural framework for brain function. Current Opinion in Psychology 8 (2016), 10–14. https://doi.org/10.1016/j.copsyc.2015.09.013 Culture.

[40]

Donna Haraway. 2006. A Cyborg Manifesto: Science, Technology, and Socialist-Feminism in the Late 20th Century. Springer Netherlands, Dordrecht, 117–158. https://doi.org/10.1007/978-1-4020-3803-7_4

[41]

Markus Hazel Rose and Alana Conner. 2014. Clash!: How to thrive in a multicultural world. Penguin.

[42]

Yurong He, Chen Zhao, and Pamela Hinds. 2010. Understanding information sharing from a cross-cultural perspective. In CHI ’10 Extended Abstracts on Human Factors in Computing Systems (Atlanta, Georgia, USA) (CHI EA ’10). Association for Computing Machinery, New York, NY, USA, 3823–3828. https://doi.org/10.1145/1753846.1754063

Digital Library

[43]

Rüdiger Heimgärtner. 2013. Reflections on a Model of Culturally Influenced Human–Computer Interaction to Cover Cultural Contexts in HCI Design. International Journal of Human–Computer Interaction 29, 4 (2013), 205–219. https://doi.org/10.1080/10447318.2013.765761 arXiv:https://doi.org/10.1080/10447318.2013.765761

[44]

Eric B. Hekler, Predrag Klasnja, Jon E. Froehlich, and Matthew P. Buman. 2013. Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Paris, France) (CHI ’13). Association for Computing Machinery, New York, NY, USA, 3307–3316. https://doi.org/10.1145/2470654.2466452

Digital Library

[45]

Joseph Henrich, Steven J. Heine, and Ara Norenzayan. 2010. Most people are not WEIRD. Nature 466 (7 2010), 29–29. Issue 7302. https://doi.org/10.1038/466029a

[46]

Julia Himmelsbach, Stephanie Schwarz, Cornelia Gerdenitsch, Beatrix Wais-Zechmann, Jan Bobeth, and Manfred Tscheligi. 2019. Do We Care About Diversity in Human Computer Interaction. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3290605.3300720

Digital Library

[47]

Geert Hofstede. 1984. Culture’s consequences: Culture’s consequences:International differences in work-related values. Vol. 5. Sage.

[48]

Geert Hofstede. 2001. Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. Sage.

[49]

Euijin Hwang, Reuben Kirkham, Andrew Monk, and Patrick Olivier. 2018. Respectful Disconnection. Proceedings of the 2018 Designing Interactive Systems Conference, 733–745. https://doi.org/10.1145/3196709.3196751

Digital Library

[50]

Katherine Isbister. 2019. Toward ‘Suprahuman’ Technology. Proceedings of the Halfway to the Future Symposium 2019, 1–4. https://doi.org/10.1145/3363384.3363468

Digital Library

[51]

Hiroshi Ishiguro. 2015. Greetings from the stage at the 28th Tokyo International Film Festival (Sayonara). Retrieved from https://youtu.be/nOEr3kzilXE.

[52]

Casper Bruun Jensen and Anders Blok. 2013. Techno-animism in japan: Shinto cosmograms, actor-network theory, and the enabling powers of non-human agencies. Theory Cult. Soc. 30, 2 (March 2013), 84–115.

[53]

Minna Kamppuri, Roman Bednarik, and Markku Tukiainen. 2006. The expanding focus of HCI. Proceedings of the 4th Nordic conference on Human-computer interaction changing roles - NordiCHI ’06, 405–408. https://doi.org/10.1145/1182475.1182523

Digital Library

[54]

Jang Hyun Kim, Min-Sun Kim, and Yoonjae Nam. 2010. An Analysis of Self-Construals, Motivations, Facebook Use, and User Satisfaction. International Journal of Human-Computer Interaction 26 (11 2010), 1077–1099. Issue 11-12. https://doi.org/10.1080/10447318.2010.516726

[55]

Felix Kistler, Birgit Endrass, Ionut Damian, Chi Tai Dang, and Elisabeth André. 2012. Natural interaction with culturally adaptive virtual characters. Journal on Multimodal User Interfaces 6 (7 2012), 39–47. Issue 1-2. https://doi.org/10.1007/s12193-011-0087-z

[56]

Naho Kitano. 2007. Animism, Rinri, Modernization ; the Base of Japanese Robotics.

[57]

Shinobu Kitayama, Hyekyung Park, A Timur Sevincer, Mayumi Karasawa, and Ayse K Uskul. 2009. A cultural task analysis of implicit independence: comparing North America, Western Europe, and East Asia. J. Pers. Soc. Psychol. 97, 2 (Aug. 2009), 236–255.

[58]

Shinobu Kitayama and Yuchida Uchida. 2005. Interdependent agency: An alternative system for action. Cultural and social behavior: The Ontario symposium 10 (2005), 137–164.

[59]

Hana Kopecka and Jose M Such. 2020. Explainable AI for Cultural Minds. Workshop on Dialogue, Explanation and Argumentation for Human-Agent Interaction, DEXAHAI. https://sites.google.com/view/dexahai-at-ecai2020/home Conference date: 07-09-2020.

[60]

Oliver Korn, Neziha Akalin, and Ruben Gouveia. 2021. Understanding Cultural Preferences for Social Robots: A Study in German and Arab Communities. J. Hum.-Robot Interact. 10, 2, Article 12 (mar 2021), 19 pages. https://doi.org/10.1145/3439717

Digital Library

[61]

Neha Kumar, Kurtis Heimerl, David Nemer, Naveena Karusala, Aditya Vashistha, Susan M. Dray, Christian Sturm, Laura S. Gaytán-Lugo, Anicia Peters, Nova Ahmed, Nicola Dell, and Jay Chen. 2018. HCI Across Borders. Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 1–8. https://doi.org/10.1145/3170427.3170666

Digital Library

[62]

Hee Rin Lee and Selma Sabanović. 2014. Culturally variable preferences for robot design and use in South Korea, Turkey, and the United States. Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction.

Digital Library

[63]

Hee Rin Lee, JaYoung Sung, Selma Šabanović, and Joenghye Han. 2012. Cultural design of domestic robots: A study of user expectations in Korea and the United States. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. 803–808. https://doi.org/10.1109/ROMAN.2012.6343850

[64]

Min Kyung Lee, Nathaniel Fruchter, and Laura Dabbish. 2015. Making Decisions From a Distance. Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 1576–1589. https://doi.org/10.1145/2675133.2675288

Digital Library

[65]

Min Kyung Lee and Katherine Rich. 2021. Who is included in human perceptions of AI?: Trust and perceived fairness around healthcare AI and cultural mistrust. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.

Digital Library

[66]

Kurt Z. Lewin. 1999. Intention, will and need (1st ed. 1926). In A Kurt Lewin Reader. The Complete Social Scientist, M Gold (Ed.). American Psychological Association, 83 – 115.

[67]

Jason Edward Lewis, Noelani Arista, Archer Pechawis, and Suzanne Kite. 2018. Making Kin with the Machines. Journal of Design and Science (7 2018). https://doi.org/10.21428/bfafd97b

[68]

Dingjun Li, P. L. Patrick Rau, and Ye Li. 2010. A Cross-cultural Study: Effect of Robot Appearance and Task. International Journal of Social Robotics 2 (6 2010), 175–186. Issue 2. https://doi.org/10.1007/s12369-010-0056-9

[69]

Sebastian Linxen, Vincent Cassau, and Christian Sturm. 2021. Culture and HCI: A still slowly growing field of research. Findings from a systematic, comparative mapping review. In Proceedings of the XXI International Conference on Human Computer Interaction (Málaga, Spain) (Interacción ’21). Association for Computing Machinery, New York, NY, USA, Article 25, 5 pages. https://doi.org/10.1145/3471391.3471421

Digital Library

[70]

Sebastian Linxen, Christian Sturm, Florian Brühlmann, Vincent Cassau, Klaus Opwis, and Katharina Reinecke. 2021. How WEIRD is CHI?. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems(CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 143, 14 pages. https://doi.org/10.1145/3411764.3445488

Digital Library

[71]

Zhicong Lu, Chenxinran Shen, Jiannan Li, Daniel Shen Hong, and Wigdor. 2021. More Kawaii than a real-person live streamer: Understanding how the otaku community engages with and perceives virtual YouTubers. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.

Digital Library

[72]

Gale M. Lucas, Jill Boberg, David Traum, Ron Artstein, Jonathan Gratch, Alesia Gainer, Emmanuel Johnson, Anton Leuski, and Mikio Nakano. 2018. Culture, Errors, and Rapport-building Dialogue in Social Agents. Proceedings of the 18th International Conference on Intelligent Virtual Agents, 51–58. https://doi.org/10.1145/3267851.3267887

Digital Library

[73]

Mikhail Lyubansky and Roy J. Eidelson. 2005. Revisiting Du Bois: The Relationship Between African American Double Consciousness and Beliefs About Racial and National Group Experiences. Journal of Black Psychology 31, 1 (2005), 3–26. https://doi.org/10.1177/0095798404268289

[74]

Karl�F MacDorman, Sandosh K Vasudevan, and Chin-Chang Ho. 2009. Does Japan really have robot mania? Comparing attitudes by implicit and explicit measures. AI Soc. 23, 4 (July 2009), 485–510.

Digital Library

[75]

Eric Mack. 2019. NASA set to hold funeral for silent Mars Opportunity rover. https://www.cnet.com/science/nasa-looks-set-to-hold-funeral-for-silent-mars-opportunity-rover/.

[76]

Aaron Marcus. 2013. Cross-Cultural User-Experience Design. In SIGGRAPH Asia 2013 Courses (Hong Kong) (SA ’13). Association for Computing Machinery, New York, NY, USA, Article 8, 31 pages. https://doi.org/10.1145/2542266.2542274

Digital Library

[77]

Vidushi Marda and Shivangi Narayan. 2021. On the importance of ethnographic methods in AI research. Nature Machine Intelligence 3 (2021), 187–189. Issue 3. https://doi.org/10.1038/s42256-021-00323-0

[78]

Hazel Rose Markus. 2016. What moves people to action? Culture and motivation. Current Opinion in Psychology 8 (2016), 161–166. https://doi.org/10.1016/j.copsyc.2015.10.028 Culture.

[79]

Hazel R Markus and MarYam G Hamedani. 2019. People are culturally shaped shapers: The psychological science of culture and culture change. In Handbook of cultural psychology, D Cohen and & S Kitayama (Eds.). The Guilford Press, 11–52.

[80]

Hazel R Markus and Shinobu Kitayama. 1991. Culture and the self: Implications for cognition, emotion, and motivation.Psychological Review 98 (1991), 224–253. https://doi.org/10.1037/0033-295X.98.2.224

[81]

Hironori Matsuzaki and Gesa Lindemann. 2016. The autonomy-safety-paradox of service robotics in Europe and Japan: a comparative analysis. AI & SOCIETY 31 (2016), 501–517. Issue 4. https://doi.org/10.1007/s00146-015-0630-7

Digital Library

[82]

Bruce Mazlish. 1993. The Fourth Discontinuity: The Co-evolution of Humans and Machines. United Kingdom, Yale University Press.

[83]

John McCarthy and Peter Wright. 2005. Putting ‘felt-life’ at the centre of human–computer interaction (HCI). Cogn. Technol. Work 7, 4 (Nov. 2005), 262–271.

Digital Library

[84]

Nora McDonald and Andrea Forte. 2020. The Politics of Privacy Theories: Moving from Norms to Vulnerabilities. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3313831.3376167

Digital Library

[85]

Futoshi Miyai. 2013. North American Audiences’ Reaction to Robotics Theater. Web Magazine Wochi Kochi. From https://www.wochikochi.jp/english/foreign/2013/05/robot-north-american.php.

[86]

Benoît Monin and Daniel M. Oppenheimer. 2014. The limits of direct replications and the virtues of stimulus sampling. Social Psychology 45, 4 (2014), 299–300.

[87]

Beth Morling, Shinobu Kitayama, and Yuri Miyamoto. 2002. Cultural Practices Emphasize Influence in the United States and Adjustment in Japan. Personality and Social Psychology Bulletin 28, 3 (2002), 311–323. https://doi.org/10.1177/0146167202286003 arXiv:https://doi.org/10.1177/0146167202286003

[88]

Ihudiya Finda Ogbonnaya-Ogburu, Angela D R Smith, Alexandra To, and Kentaro Toyama. 2020. Critical Race Theory for HCI. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems.

Digital Library

[89]

Jasper Tran O’Leary, S Zewde, J Mankoff, and D K Rosner. 2019. Who gets to future? Race, representation, and design methods in Africatown. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (2019), 1–13.

Digital Library

[90]

Gary M Olson and Judith S Olson. 2003. Human-computer interaction: psychological aspects of the human use of computing. Annu. Rev. Psychol. 54 (2003), 491–516. Issue 1.

[91]

Daphna Oyserman, Heather M Coon, and Markus Kemmelmeier. 2002. Rethinking individualism and collectivism: Evaluation of theoretical assumptions and meta-analyses. Psychol. Bull. 128, 1 (Jan. 2002), 3–72.

[92]

Katharina Reinecke and Abraham Bernstein. 2011. Improving performance, perceived usability, and aesthetics with culturally adaptive user interfaces. ACM Trans. Comput. Hum. Interact. 18 (6 2011), 1–29. Issue 2.

[93]

Paolo Remagnino and Gian Luca Foresti. 2005. Ambient Intelligence: A New Multidisciplinary Paradigm. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 35, 1 (2005), 1–6. https://doi.org/10.1109/TSMCA.2004.838456

Digital Library

[94]

Yvonne Rogers. 2012. HCI Theory: Classical, Modern, and Contemporary. Synthesis Lectures on Human-Centered Informatics 5 (5 2012), 1–129. Issue 2. https://doi.org/10.2200/S00418ED1V01Y201205HCI014

[95]

Yves Rosseel. 2012. lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software 48, 2 (2012), 1–36. https://doi.org/10.18637/jss.v048.i02

[96]

Osamu Sakura. 2021. Examination and international comparison of effectiveness of techno-animism concept in social acceptance of AI and robots. Impact 2021 (2 2021), 24–26. Issue 1. https://doi.org/10.21820/23987073.2021.1.24

[97]

Christine Satchell. 2008. Cultural theory and real world design. Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems - CHI ’08, 1593. https://doi.org/10.1145/1357054.1357303

Digital Library

[98]

Krishna Savani, Satishchandra Kumar, N. V. R. Naidu, and Carol S. Dweck. 2011. Beliefs about emotional residue: The idea that emotions leave a trace in the physical environment.Journal of Personality and Social Psychology 101, 4 (2011), 684–701. https://doi.org/10.1037/a0024102

[99]

Richard Savery, Lisa Zahray, and Gil Weinberg. 2021. Shimon Sings-Robotic Musicianship Finds Its Voice. Springer International Publishing, Cham, 823–847. https://doi.org/10.1007/978-3-030-72116-9_29

[100]

Norbert Schwarz. 1999. Self-reports: How the questions shape the answers. Am. Psychol. 54, 2 (Feb. 1999), 93–105.

[101]

Lauren Scissors, N. Sadat Shami, Tatsuya Ishihara, Steven Rohall, and Shin Saito. 2011. Real-time collaborative editing behavior in USA and Japanese distributed teams. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1119–1128. https://doi.org/10.1145/1978942.1979109

Digital Library

[102]

William Seymour and Max Van Kleek. 2020. Does Siri have a soul? Exploring voice assistants through Shinto design fictions. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3334480.3381809

Digital Library

[103]

Ben Shneiderman, Stuart Card, Donald A. Norman, Marilyn Tremaine, and M. Mitchell Waldrop. 2002. CHI@20: fighting our way from marginality to power. CHI ’02 extended abstracts on Human factors in computing systems - CHI ’02, 688–691. https://doi.org/10.1145/506443.506548

Digital Library

[104]

Alessandro Soro, Margot Brereton, Laurianne Sitbon, Aloha Hufana Ambe, Jennyfer Lawrence Taylor, and Cara Wilson. 2019. Beyond Independence. Proceedings of the 31st Australian Conference on Human-Computer-Interaction, 149–160. https://doi.org/10.1145/3369457.3369470

Digital Library

[105]

Alessandro Soro, Jennyfer Lawrence Taylor, and Margot Brereton. 2019. Designing the past. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems.

Digital Library

[106]

Nicolas Spatola, Serena Marchesi, and Agnieszka Wykowska. 2022. Different models of anthropomorphism across cultures and ontological limits in current frameworks the integrative framework of anthropomorphism. Frontiers in Robotics and AI 9 (8 2022). https://doi.org/10.3389/frobt.2022.863319

[107]

Aaron Steinfeld, Odest Chadwicke Jenkins, and Brian Scassellati. 2009. The Oz of Wizard: Simulating the Human for Interaction Research. In Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction (La Jolla, California, USA) (HRI ’09). Association for Computing Machinery, New York, NY, USA, 101–108. https://doi.org/10.1145/1514095.1514115

Digital Library

[108]

Lucy A. Suchman. 1987. Plans and situated actions: The problem of human-machine communication. Cambridge university press.

Digital Library

[109]

T. Talhelm, X. Zhang, S. Oishi, C. Shimin, D. Duan, X. Lan, and S. Kitayama. 2014. Large-Scale Psychological Differences Within China Explained by Rice Versus Wheat Agriculture. Science 344, 6184 (2014), 603–608. https://doi.org/10.1126/science.1246850 arXiv:https://www.science.org/doi/pdf/10.1126/science.1246850

[110]

Alex S. Taylor. 2011. Out there. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 685–694. https://doi.org/10.1145/1978942.1979042

Digital Library

[111]

Harry C Triandis and Michele J Gelfand. 1998. Converging measurement of horizontal and vertical individualism and collectivism. J. Pers. Soc. Psychol. 74, 1 (Jan. 1998), 118–128.

[112]

Jeanne L. Tsai, Felicity F. Miao, Emma Seppala, Helene H. Fung, and Dannii Y. Yeung. 2007. Influence and adjustment goals: Sources of cultural differences in ideal affect. Journal of Personality and Social Psychology 92, 6 (2007), 1102–1117. https://doi.org/10.1037/0022-3514.92.6.1102

[113]

Daisuke Uriu and Naohito Okude. 2010. ThanatoFenestra. Proceedings of the 8th ACM Conference on Designing Interactive Systems - DIS ’10, 422. https://doi.org/10.1145/1858171.1858253

Digital Library

[114]

Ravi K. Vatrapu. 2010. Explaining culture. Proceedings of the 3rd international conference on Intercultural collaboration - ICIC ’10, 111. https://doi.org/10.1145/1841853.1841871

Digital Library

[115]

Sheena Myong Walker. 2018. Empirical Study of the Application of Double-Consciousness Among African-American Men. Journal of African American Studies 22, 2–3 (Aug. 2018), 205–217. https://doi.org/10.1007/s12111-018-9404-x

[116]

Lin Wang, Pei-Luen Patrick Rau, Vanessa Evers, Benjamin Krisper Robinson, and Pamela Hinds. 2010. When in Rome: The role of culture & context in adherence to robot recommendations. 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[117]

Qi Wang. 2004. The emergence of cultural self-constructs: autobiographical memory and self-description in European American and Chinese children. Dev. Psychol. 40, 1 (Jan. 2004), 3–15.

[118]

Russell T. Warne. 2014. A Primer on Multivariate Analysis of Variance (MANOVA) for Behavioral Scientists. Practical Assessment, Research & Evaluation 19 (2014).

[119]

Yueh-Hsuan Weng, Yasuhisa Hirata, Osamu Sakura, and Yusuke Sugahara. 2019. The Religious Impacts of Taoism on Ethically Aligned Design in HRI. International Journal of Social Robotics 11 (2019), 829–839. Issue 5. https://doi.org/10.1007/s12369-019-00594-z

[120]

Daniel White and Hirofumi Katsuno. 2021. Toward an Affective Sense of Life: Artificial Intelligence, Animacy, and Amusement at a Robot Pet Memorial Service in Japan. Cultural Anthropology 36 (5 2021). Issue 2. https://doi.org/10.14506/ca36.2.03

[121]

Allison Woodruff, Sarah�E. Fox, Steven Rousso-Schindler, and Jeffrey Warshaw. 2018. A Qualitative Exploration of Perceptions of Algorithmic Fairness. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3173574.3174230

Digital Library

[122]

Jiang Yang, Mark S. Ackerman, and Lada A. Adamic. 2011. Virtual gifts and guanxi. Proceedings of the ACM 2011 conference on Computer supported cooperative work - CSCW ’11, 45. https://doi.org/10.1145/1958824.1958832

Digital Library

[123]

Jiang Yang, Scott Counts, Meredith Ringel Morris, and Aaron Hoff. 2013. Microblog credibility perceptions. Proceedings of the 2013 conference on Computer supported cooperative work - CSCW ’13, 575. https://doi.org/10.1145/2441776.2441841

Digital Library

[124]

Miyake Youichiro. 2020. When Artificial Intelligence becomes life. PLANETS.

[125]

Amos Zeeberg. 2020. What we can learn about robots from Japan. https://www.bbc.com/future/article/20191220-what-we-can-learn-about-robots-from-japan. Accessed: 2023-9-12.

[126]

Chen Zhao and Gonglue Jiang. 2011. Cultural differences on visual self-presentation through social networking site profile images. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1129–1132. https://doi.org/10.1145/1978942.1979110

Digital Library

Cited By

Xu CGe X(2024)AI as a Child of Mother Earth: Regrounding Human-AI Interaction in Ecological ThinkingExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3644065(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3644065

Index Terms

How Culture Shapes What People Want From AI
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Interaction design
    1. Interaction design process and methods
      1. User interface design
2. Social and professional topics
  1. User characteristics
    1. Cultural characteristics

Index terms have been assigned to the content through auto-classification.

Recommendations

Intercultural Simulation Games: A Review (of the United States and Beyond)

Intercultural simulations are instructional activities that engage and challenge participants with experiences integral to encounters between people of more than one cultural group. Simulations designed specifically to support intercultural encounters ...
Consumer Culture Theory: Ideology, Mythology and Meaning in Technology Consumption

Consumer culture theory helps us take note of the cultural forces and dynamics in which technology consumption is entangled. It enables people to articulate the cultural processes (ideological, mythic, ritualistic, etc.) through which cultural meanings ...
Culture and facial expressions: a case study with a speech interface
INTERACT'11: Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II

Recent research has established cultural background of the users to be an important factor affecting the perception of an interface's usability. However, the area of cultural customization of speech-based interfaces remains largely unexplored. The ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

May 2024

18961 pages

ISBN:9798400703300

DOI:10.1145/3613904

Editors:
Florian Floyd Mueller
Monash University
,
Penny Kyburz
The Australian National University
,
Julie R. Williamson
University of Glasgow
,
Corina Sas
Lancaster University
,
Max L. Wilson
University of Nottingham
,
Phoebe Toups Dugas
Monash University/New Mexico State University
,
Irina Shklovski
University of Copenhagen

Copyright � 2024 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 May 2024

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Funding Sources

Stanford Institute for Human-Centered AI (HAI)

Conference

CHI '24

Sponsor:

CHI '24: CHI Conference on Human Factors in Computing Systems

May 11 - 16, 2024

HI, Honolulu, USA

Acceptance Rates

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
1,604
Total Downloads

Downloads (Last 12 months)1,604
Downloads (Last 6 weeks)333

Reflects downloads up to 18 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Xu CGe X(2024)AI as a Child of Mother Earth: Regrounding Human-AI Interaction in Ecological ThinkingExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3644065(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3644065

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Full Text

View this article in Full Text.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View full text|Download PDF

View Table of Contents