research-article

The Evolution of HCI and Human Factors: Integrating Human and Artificial Intelligence

Authors:

Jamy LiAuthors Info & Claims

ACM Transactions on Computer-Human Interaction, Volume 30, Issue 2

Article No.: 17, Pages 1 - 30

https://doi.org/10.1145/3557891

Published: 17 March 2023 Publication History

Abstract

We review HCI history from both the perspective of its 1980s split with human factors and its nature as a discipline. We then revisit human augmentation as an alternative to user friendliness that seems particularly relevant in the areas of inclusive design and artificial intelligence. Viewing human-AI interaction as a kind of human augmentation raises issues such as how to promote trust and situation awareness. We also pose the question: Can HCI and human factors engineering work together to solve the increasingly urgent challenges of human-AI technology? In an initial look at this question, we contrast the different approaches of HCI and human factors on emerging AI research. This article concludes by considering other potentially promising paths for HCI. We propose more collaboration between HCI and human factors, or related disciplines, in the future to address the massive challenges posed by the rapid growth in data science and artificial intelligence.

References

[1]

Ashraf Abdul, Jo Vermeulen, Danding Wang, Brian Y. Lim, and Mohan Kankanhalli. 2018. Trends and trajectories for explainable, accountable and intelligible systems: An HCI research agenda. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (2018-April), 1–18. DOI:

Digital Library

[2]

Saleema Amershi, Maya Cakmak, William Bradley Knox, and Todd Kulesza. 2014. Power to the people: The role of humans in interactive machine learning. AI Magazine 35, 4 (December 2014), 105–120. DOI:

[3]

Saleema Amershi, James Fogarty, Ashish Kapoor, and Desney Tan. 2010. Examining multiple potential models in end-user interactive concept learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2, (2010), 1357–1360. DOI:

Digital Library

[4]

R. Baecker and W. Buxton. 1987. Readings in human–computer interaction: A multidisciplinary approach. (1987). Retrieved October 25, 2021 from https://www.osti.gov/biblio/5039704.

[5]

Robert W Bailey. 1989. Human Performance Engineering (2nd ed.). Englewood Cliffs, N. J.: Prentice Hall.

[6]

Liam Bannon. 2011. Reimagining HCI: Toward a more human-centered perspective. Interactions 18, 4 (2011), 50–57. DOI:

Digital Library

[7]

Liam J. Bannon. 1995. From human factors to human actors: The role of psychology and human.computer interaction studies in system design. In Readings in Human-Computer Interaction, Towards year 2000, Ronald Baecker, Jonathan Grudin, William Buxton, & Saul Greenberg (Eds.). Morgan Kaufmann, San Francisco, CA. DOI:

[8]

Gordon Baxter, Denis Besnard, and Dominic Riley. 2007. Cognitive mismatches in the cockpit: Will they ever be a thing of the past? Applied Ergonomics 38, 4 (July 2007), 417–423. DOI:

[9]

Michel Beaudouin-Lafon, Susanne Bødker, and Wendy E. MacKay. 2021. Generative theories of interaction. ACM Transactions on Computer–Human Interaction 28, 6 (November 2021), 1–54. DOI:

Digital Library

[10]

Jordan Beck and Erik Stolterman. 2017. Reviewing the big questions literature; or, should HCI have big questions? In Proceedings of the 2017 Conference on Designing Interactive Systems (2017), 969–981. DOI:

Digital Library

[11]

Alan F. Blackwell. 2015. Filling the big hole in HCI research. Interactions 22, 6 (2015), 37–41. DOI:

Digital Library

[12]

Andrea Brennen. 2020. What do people really want when they say they want “explainable AI?” we asked 60 stakeholders. In Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (2020), 1–7. DOI:

Digital Library

[13]

John T. Cacioppo and Richard E. Petty. 1982. The need for cognition. Journal of Personality and Social Psychology 42, 1 (January 1982), 116–131. DOI:

[14]

Stuart K. Card. 1984. Human Factors and the Intelligent Interface. Xerox Palo Alto Research Center.

[15]

Stuart K. Card, Thomas P. Moran, and Allen Newell. 1980. The keystroke-level model for user performance time with interactive systems. Communications of the ACM 23, 7 (1980), 396–410. DOI:

Digital Library

[16]

Stuart K. Card, Thomas P. Moran, and Allen Newell. 1983. The Psychology of Human–Computer Interaction. Hillsdale, NJ: LEA.

[17]

John M. Carroll. 2010. Conceptualizing a possible discipline of human–computer interaction. Interacting with Computers 22, 1 (2010), 3–12. DOI:

Digital Library

[18]

John M. Carroll (Ed.). 1987. Interfacing Thought: Cognitive Aspects of Human–Computer Interaction. Cambridge, Mass.: MIT Press.

[19]

John M. Carroll and Robert L. Campbell. 1986. Softening up hard science: reply to newell and card. Human–Computer Interact. 2, 3 (1986), 227–249. DOI:

Digital Library

[20]

John M. Carroll and Robert L. Mack. 1984. Learning to use a word processor: By doing, by thinking, and by knowing. In Human Factors in Computer Systems, J. C. Thomas, M. L. Schneider, and B. Shneiderman (Eds.). Ablex, Norwood N.J.

[21]

Mark H. Chignell. 1990. A taxonomy of user interface terminology. ACM SIGCHI Bull. 21, 4 (April 1990), 27. DOI:

Digital Library

[22]

Mark Chignell, Peter A. Hancock, and Harumi Takeshita. 1999. Chapter 11 – human—computer interaction: The psychology of augmented human behavior. In Proceedings of the Human Performance and Ergonomics. Academic Press, 291–328. DOI:

[23]

Chung Mu Huan, Mark Chignell, Lu Wang, Alexandra Jovicic, and Abhay Raman. 2020. Interactive machine learning for data exfiltration detection: Active learning with human expertise. In Proceedings of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, Institute of Electrical and Electronics Engineers Inc. 280–287. DOI:

Digital Library

[24]

Elizabeth F. Churchill, Anne Bowser, and Jennifer Preece. 2016. The future of HCI Education: A flexible, global, living curriculum. Interactions 23, 2 70–73. DOI:

Digital Library

[25]

Alan Dix. 2010. Human–computer interaction: A stable discipline, a nascent science, and the growth of the long tail. Interactting with Computers 22, 1 (2010), 13–27. DOI:

Digital Library

[26]

Paul Dourish. 2001. Where the action is: The foundations of embodied interaction. Where the Action is: The Foundations of Embodied Interact. 36, 3 (2001), 233. DOI:

[27]

Mica R. Endsley. 1995. Measurement of situation awareness in dynamic systems. Human Factors 37, 1 (1995), 65–84. DOI:

[28]

Paul M. Fitts. 1954. The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology 47, 6 (1954), 381–391. DOI:

[29]

Rhona Flin, Jeanette Winter, C. Sarac, and M. Raduma. 2009. Human factors in patient safety: review of topics and tools. Report to WHO, Geneva. Retrieved October 26, 2021 from https://www.researchgate.net/profile/1080Jeanette-Jackson/publication/266050169_Human_Factors_in_Patient_Safety_Review_of_Topics_and_Tools/links/108155cb14d708aea2d9bdcc192e/Human-Factors-in-Patient-Safety-Review-of-Topics-and-Tools.pdf.

[30]

Lex Fridman, Heishiro Toyoda, Sean Seaman, Bobbie Seppelt, Linda Angell, Joonbum Lee, Bruce Mehler, and Bryan Reimer. 2017. What can be predicted from six seconds of driver glances? In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, (2017-May), 2805–2813. DOI:

Digital Library

[31]

Douglas J. Gillan. 1998. The psychology of multimedia: Principles of perception and cognition. In Proceedings of the CHI 98 Conference Summary on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 143–144. DOI:

Digital Library

[32]

Wayne D. Gray and Erik M. Altmann. 2001. Cognitive modeling and human–computer interaction. International Encyclopedia of Ergonomics and Human Factors 1, (2001), 387–391.

[33]

Jonathan Grudin. 1990. The computer reaches out: The historical continuity of interface design. In Proceedings of the Conference on Human Factors in Computing Systems. Association for Computing Machinery, 261–268. DOI:

Digital Library

[34]

Jonathan Grudin. 2005. Three faces of human–computer interaction. IEEE Annals of the History of Computing 27, 4 (2005), 46–62.

Digital Library

[35]

Jonathan Grudin. 2009. AI and HCI: Two fields divided by a common focus. AI Magazine. 30, 4 (2009), 48–57. DOI:

Digital Library

[36]

Jonathan Grudin. 2017. From tool to partner: The evolution of human–computer interaction. Synthesis Lectures on Human-Centered Interaction 10, 1 (January 2017), i–183. DOI:

[37]

P. A. Hancock, Tara Kajaks, Jeff K. Caird, Mark H. Chignell, Sachi Mizobuchi, Peter C. Burns, Jing Feng, Geoff R. Fernie, Martin Lavallière, Ian Y. Noy, Donald A. Redelmeier, and Brenda H. Vrkljan. 2020. Challenges to human drivers in increasingly automated vehicles. Human Factors 62, 2 (March 2020), 310–328. DOI:

[38]

Peter A. Hancock. 2020. The humanity of humanless systems. Ergonomics in Design 28, 3 (2020), 4–6. DOI:

[39]

Martin Helander (Ed.). 1988. Handbook of Human–Computer Interaction. Amsterdam: Noth-Holland.

[40]

Thomas Hewett, Ronald Baecker, Stuart Card, Tom Carey, Jean Gasen, Marilyn Mantei, Gary Perlman, Gary Strong, and William Verplank. 1992. ACM SIGCHI Curricula for Human–Computer Interaction. Association for Computing Machinery. DOI:

Digital Library

[41]

Kasper Hornbæk, Aske Mottelson, Jarrod Knibbe, and Daniel Vogel. 2019. What do we mean by “interaction”? An analysis of 35 Years of CHI. ACM Transactions on Computer–Human Interaction 26, 4 (July 2019), 1–30. DOI:

Digital Library

[42]

Kasper Hornbaek and Antti Oulasvirta. 2017. What Is Interaction? In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, 5040–5052. DOI:

Digital Library

[43]

Devin M. Kearns, Roeland Hancock, Fumiko Hoeft, Kenneth R. Pugh, and Stephen J. Frost. 2019. The neurobiology of dyslexia. Teaching Exceptional Children 51, 3 (January 2019), 175–188. DOI:

[44]

David E. Kieras. 1988. Towards a practical GOMS model methodology for user interface design. In Proceedings of the Handbook of Human–Computer Interaction, 135–157. DOI:

[45]

Vassilis Kostakos. 2015. The big hole in HCI research. Interactions 22, 2 (2015) 49–51. DOI:

Digital Library

[46]

John D. Lee and Katrina A. See. 2004. Trust in automation: Designing for appropriate reliance. Human Factors 46, 1 (2004) 50–80. DOI:

[47]

Clayton Lewis, Peter Poison, Cathleen Wharton, and John Rieman. 1990. Testing a walkthrough methodology for theory-based design of walk-up-and-use interfaces. In Proceedings of the Conference on Human Factors in Computing Systems, ACM Press, New York, New York, 235–242. DOI:

Digital Library

[48]

J. C. R. Licklider. 1960. Man-computer symbiosis. IRE Transactions on Human Factors in Electronics. HFE-1, 1 (1960), 4–11. DOI:

[49]

Pantelis Linardatos, Vasilis Papastefanopoulos, and Sotiris Kotsiantis. 2021. Explainable ai: A review of machine learning interpretability methods. Entropy 23, 1–45. DOI:

[50]

Ke Liu, Paul Green, and Yili Liu. 2019. Traffic and ratings of driver workload: The effect of the number of vehicles and their distance headways. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63, 1 (November 2019), 2134–2138. DOI:

[51]

Yong Liu, Jorge Goncalves, Denzil Ferreira, Bei Xiao, Simo Hosio, and Vassilis Kostakos. 2014. Mapping two decades of intellectual progress through Co-Word analysis. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (2014), 3553–3562.

Digital Library

[52]

John Long and John Dowell. 1989. Conceptions of the discipline of HCI. In Proceedings of the HCI’89, Cambridge University Press, 9–32.

[53]

I. Scott MacKenzie. 2018. Fitts’ law. Handbook of HumanComputer Interaction 1, (2018), 349–370.

[54]

Steve Mann. 2006. Learning by being: Thirty years of cyborg existemology. In Proceedings of the International Handbook of Virtual Learning Environments (November 2006), 1571–1592. DOI:

[55]

Gloria Mark, Daniela Gudith, and Ulrich Klocke. 2008. The cost of interrupted work: More speed and stress. In Proceedings of the Conference on Human Factors in Computing Systems, 107–110. DOI:

Digital Library

[56]

Jane N. Mosier and Sidney L. Smith. 1986. Application of guidelines for designing user interface software. Behaviour & Information Technology 5, 1 (1986), 39–46. DOI:

[57]

Shane T. Mueller. 2020. Cognitive anthropomorphism of AI: How Humans and computers classify images. Ergonomics in Design 28, 3 (2020), 12–19. DOI:

[58]

Brad A. Myers. 1998. A brief history of human-computer interaction technology. Interactions 5, 2 (1998), 44–54. DOI:

Digital Library

[59]

Allen Newell and Stuart K. Card. 1985. The prospects for psychological science in humancomputer interaction. Human–Computer Interaction. 1, 3 (1985), 209–242. DOI:

Digital Library

[60]

Jakob Nielsen. 1994. Usability Engineering. Morgan Kaufmann.

[61]

Donald A. Norman. 1988. The Design of Everyday Things. New York: Currency Doubleday.

[62]

Donald A Norman. 2004. Emotional Design: Why we Love (or hate) Everyday Things. N.Y.: Basic Books.

[63]

Donald A. Norman and Stephen W. Draper (Eds.). 1986. User Centered System Design. Hillsdale, NJ : Erlbaum.

[64]

Kent L. Norman. 1991. The Psychology of Menu Selection: Designing Cognitive Control at the Human/Computer Interface. Ablex, Norwood NJ.

[65]

Y. Ian Noy. 1997. Human factors in modern traffic systems. Ergonomics 40, 10 (October 1997), 1016–1024. DOI:

[66]

Antti Oulasvirta and Kasper Hornbæk. 2016. HCI research as problem-solving. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 4956--4967.

Digital Library

[67]

Antti Oulasvirta and Kasper Hornbæk. 2021. Counterfactual thinking: What theories do in design. International Journal of Human–Computer Interaction 38, 1 (2021), 78–92. DOI:

[68]

Elizabeth R. Petrick. 2020. A historiography of human-computer interaction. IEEE Annals of the History of Computing 42, 4 (2020), 8–23. DOI:

Digital Library

[69]

Stuart Reeves. 2015. Locating the'big hole'in HCI research. Interactions 22, 4 (2015), 53–56.

Digital Library

[70]

Yvonne Rogers. 2012. HCI theory: classical, modern, and contemporary. Synthesis Lectures on Human-Centered Informatics. 5, 2 (2012), 1–129.

[71]

Sally E. Shaywitz and Bennett A. Shaywitz. 2007. The neurobiology of reading and dyslexia. The ASHA Leader. 12, 12 (September 2007), 20–21. DOI:

[72]

Thomas B. Sheridan. 1992. Telerobotics, Automation, and Human Supervisory Control. MIT Press, Cambridge, MA. Retrieved February 7, 2022 from https://books.google.ca/books?hl=en&lr=&id=eu41_M2Do9oC&oi=fnd&pg=PR21&dq=Sheridan,+T.+(1992).+Telerobotics,+Automation+and+Supervisory+control&ots=Z8p-4VwA5b&sig=-5zwwPKFGHRt7P6GPc8_cOkMnJo&redir_esc=y#v=onepage&q=Sheridan%2CT.(1992).Telerobotics%2CA.

[73]

Thomas B. Sheridan. 1988. Task analysis, task allocation and supervisory control. In Proceedings of the Handbook of HumanComputer Interaction. 159–173.

[74]

Ben Shneiderman. 1983. Direct manipulation: A step beyond programming languages. Computer (Long. Beach. Calif). 16, 8 (August 1983), 57–69. DOI:

Digital Library

[75]

Ben Shneiderman. 1987. Designing the User Interface Strategies for Effective Human-Computer Interaction. Reading, Mass.: Addison-Wesley.

[76]

Ben Shneiderman. 2022. Human-Centered AI. Oxford University Press. DOI:

[77]

Ben Shneiderman, Catherine Plaisant, Maxine Cohen, Steven Jacobs, Niklas Elmqvist, and Nicholas Diakopoulos. 2016. Designing the User Interface: Strategies for Effective Human-Computer Interaction, 6th Edition (6th ed.). Pearson. Retrieved February 6, 2022 from https://nsuworks.nova.edu/gscis_facbooks/18.

[78]

Ben Shneiderman, Catherine Plaisant, Maxine Cohen, Steven Jacobs, Niklas Elmqvist, and Nicholas Diakopoulos. 2016. Grand challenges for HCI researchers. Interactions 23, 5 (September 2016), 24–25. DOI:

Digital Library

[79]

Anna Slavina and Stephen B. Gilbert. 2021. Perspectives in HCI: A course integrating diverse viewpoints. In Proceedings of the EduCHI 2021: 3rd Annual Symposium on HCI Education.

[80]

Sidney L. Smith and Jane N. Mosier. 1986. Guidelines for designing user interface software. Mitre Corporation, Bedford, MA.

[81]

Matthias Söllner, Axel Hoffmann, Holger Hoffmann, and Jan Marco Leimeister. 2012. How to use behavioral research insights on trust for HCI system design. In Proceedings of the CHI'12 Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 1703–1708. DOI:

Digital Library

[82]

Olivier St-Cyr, Andrea Jovanovic, Mark Chignell, Craig M. MacDonald, and Elizabeth F. Churchill. 2018. The HCI living curriculum as a community of practice. Interactions 25, 5 (September 2018), 68–71. DOI:

Digital Library

[83]

John F. Stein. 2017. Does dyslexia exist? Language, Cognition and Neuroscience 33, 3 (March 2017), 313–320. DOI:

[84]

Constantine Stephanidis. 2001. User Interfaces for All: New Perspectives into Human-Computer Interaction. User Interfaces All-Concepts, Methods, Tools (2001), 3–17.

[85]

N. A. Stillings, M. H. Feinstein, J. L. Garfield, E. L. Rissland, D. A. Rosenbaum, S. E. Weisler, and L. Baker-Ward. 1987. Cognitive Science : An Introduction. Mass.: MIT Press. Cambridge.

[86]

Thomas Tullis. 1988. Screen Design. Handbook of Human-computer Interaction. M. Helander, Elsevier Science Publishers B.V. (North-Holland).

[87]

Blase Ur, Felicia Alfieri, Maung Aung, Lujo Bauer, Nicolas Christin, Jessica Colnago, Lorrie Faith Cranor, Henry Dixon, Pardis Emami Naeini, Hana Habib, Noah Johnson, and William Melicher. 2017. Design and evaluation of a data-driven password meter. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, (2017-May), 3775–3786. DOI:

Digital Library

[88]

Eliane Zambon Victorelli, Julio Cesar Dos Reis, Heiko Hornung, and Alysson Bolognesi Prado. 2020. Understanding human-data interaction: Literature review and recommendations for design. International Journal of Human–Computer Studies 134, 1 (2020), 13–32. DOI:

[89]

Danding Wang, Qian Yang, Ashraf Abdul, and Brian Y. Lim. 2019. Designing theory-driven user-centric explainable AI. In Proceedings of the Conference on Human Factors in Computing Systems. Association for Computing Machinery. DOI:

Digital Library

[90]

Xiaomei Wang, Ann M. Bisantz, Matthew L. Bolton, Lora Cavuoto, and Varun Chandola. 2020. Explaining supervised learning models: A preliminary study on binary classifiers. Ergonomics in Design 28, 3 (2020), 20–26. DOI:

[91]

Christopher D. Wickens. 1992. Engineering Psychology and Human Performance. HarperCollins Publishers.

[92]

Qian Yang, Aaron Steinfeld, and John Zimmerman. 2019. Unremarkable AI: Fiting intelligent decision support into critical, clinical decision-making processes. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. (2019), 1–11. DOI:

Digital Library

[93]

Bella (Yigong) Zhang and Mark Chignell. 2021. The Gap Between Human Factors Engineering Education and Industry Needs. In Proceedings of the Lecture Notes in Networks and Systems, 589–594. DOI:

[94]

Xueru Zhang, Mohammad Mahdi Khalili, and Mingyan Liu. 2020. Long-term impacts of fair machine learning. Ergonomics in Design 28, 3 (2020), 7–11. DOI:

[95]

EduCHI 2021. Retrieved November 15, 2021 from https://educhi2021.hcilivingcurriculum.org.

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Index Terms

The Evolution of HCI and Human Factors: Integrating Human and Artificial Intelligence
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Social and professional topics
  1. Professional topics
    1. History of computing

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cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 30, Issue 2

April 2023

570 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/3586024

Editors:
Kristina Höök
KTH Royal Institute of Technology, Sweden
,
Kasper Hornbæk
University of Copenhagen, Denmark

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Publication History

Published: 17 March 2023

Online AM: 15 September 2022

Accepted: 01 July 2022

Revised: 01 February 2022

Received: 01 June 2021

Published in TOCHI Volume 30, Issue 2

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https://doi.org/10.4018/979-8-3693-5533-6.ch005
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