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Design Fiction: A Way to Foresee the Future of Human–Computer Interaction Design Challenges

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Design in the Era of Industry 4.0, Volume 1 (ICORD 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 343))

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Abstract

Human–computer interaction is centred around exploring the relationship between computational technologies and their users. HCI designers address the concerns of users by making innovative use of computational technologies but they seldom consider the potential impact of their conceptualized interventions on societies at large. There is a dearth of studies that explore how the impact of technology-based concepts on the futures of societies and long-term user behaviour can be anticipated. Awareness of future scenarios by designers during the design phase of HCI products is important because technology adoption brings about unexpected, diverse ways of user interaction that influence local beliefs and behaviours. The impact of these interventions on existing practices can be either enriching or detrimental. To ensure that the conceptualized interventions do not end up negating societal practices and give rise to anxiety amongst individuals or groups of individuals in future, designers need to pre-empt the effect of their conceptualizations before the intervention becomes mainstream. It is in this direction that the study is conducted and reported. The study highlights the inability of existing HCI practices in anticipating long-term scenarios and their impacts on society. In order to ensure HCI designers foresee such scenarios, practices from design fiction, a scenario generation methodology can be adopted. This study further proposes a theoretical method of grounding design fiction scenario-building strategies in the HCI process. We believe this framework will support HCI designers to successfully envisage the impact of their design concepts on societies and their practices in the long term.

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References

  1. Khare, A., Dhar, D.: Affecting technology consumption—role of designers in ushering behaviour change. In: Chakrabarti, A., Poovaiah, R., Bokil, P., Kant, V. (eds.) Design for Tomorrow, vol. 1. ICoRD 2021. Smart Innovation, Systems and Technologies, vol. 221, pp. 517–527. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-0041-8_43

  2. Chaudhuri, N.B., Dhar, D., Yammiyavar, P.G.: Automating assessment of design exams: a case study of novelty evaluation. Expert Sys. Appl. 189, 116108 (2022). https://doi.org/10.1016/j.eswa.2021.116108

    Article  Google Scholar 

  3. Chaudhuri, N.B., Dhar, D., Yammiyavar, P.G.: A computational model for subjective evaluation of novelty in descriptive aptitude. Int. J. Technol. Des. Educ. 32(2), 1121–1158 (2022). https://doi.org/10.1007/s10798-020-09638-2.K

    Article  Google Scholar 

  4. Mallampalli, C., Dhar, D., Pal, S.: Work posture and risk factors associated with work-related musculoskeletal disorders among cashew workers in Eastern India. Int. J. Hum. Factors Ergon. 8(1), 44 (2021). https://doi.org/10.1504/IJHFE.2021.115041

    Article  Google Scholar 

  5. Mallampalli, K.C., Dhar, D., Pal, S.: Prevalence and risk factors associated with musculoskeletal disorders among cashew-nut shelling workers in India. In: Karwowski, W., Goonetilleke, R.S., **ong, S., Goossens, R.H.M., Murata, A. (eds.) Advances in Physical, Social & Occupational Ergonomics. AHFE 2020. Advances in Intelligent Systems and Computing, vol. 1215, pp. 79–86. Springer International Publishing, Cham (2020). https://doi.org/10.1007/978-3-030-51549-2_11

  6. Ibrahim, S., Vasalou, A., Benton, L.: Understanding the situated practices of school technology leaders in the early stages of educational technology adoption (2022). https://doi.org/10.1145/3491102.3502120

  7. Fournier, H., Kondratova, I., Molyneaux, H.: Designing digital technologies and safeguards for improving activities and well-being for aging in place. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12426 LNCS, pp. 524–537 (2020). https://doi.org/10.1007/978-3-030-60149-2_40

  8. Pohlmeyer, A.E., Blessing, L.: A conjoint analysis of attributes affecting the likelihood of technology use. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6770 LNCS, no. Part 2, pp. 303–312 (2011). https://doi.org/10.1007/978-3-642-21708-1_35

  9. Partala, T., Saari, T.: Understanding the most influential user experiences in successful and unsuccessful technology adoptions. Comput. Hum. Behav. 53, 381–395 (2015). https://doi.org/10.1016/j.chb.2015.07.012

    Article  Google Scholar 

  10. Karlin, B., et al.: Diffusion of feedback: perceptions and adoption of devices in the residential market. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9188, pp. 368–379 (2015). https://doi.org/10.1007/978-3-319-20889-3_35

  11. Wang, Y.: Humor and camera view on mobile short-form video apps influence user experience and technology-adoption intent, an example of TikTok (DouYin). Comput. Human Behav. 110 (2020). https://doi.org/10.1016/j.chb.2020.106373

  12. Ku, W.-T., Lai, H.-M., Hsieh, P.-J.: Understanding continuous wearable technology use behavior for fitness and self-health management among middle-aged and elderly people. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12207 LNCS, pp. 280–288 (2020). https://doi.org/10.1007/978-3-030-50252-2_21

  13. Álvarez Márquez, J.O., Ziegler, J.: Acceptance of an AR-based in-store shop** advisor—the impact of psychological user characteristics. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12932 LNCS, pp. 457–479 (2021). https://doi.org/10.1007/978-3-030-85623-6_28

  14. Alagöz, F., Ziefle, M., Wilkowska, W., Valdez, A.C.: Openness to accept medical technology—a cultural view. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7058 LNCS, pp. 151–170 (2011). https://doi.org/10.1007/978-3-642-25364-5_14

  15. Parker, C., Caldwell, G.A., Fredericks, J.: The impact of hyperconnectedness on urban HCI: challenges and opportunities. In: ACM International Conference Proceeding Series, pp. 480–484 (2019). https://doi.org/10.1145/3369457.3369521

  16. Ghode, D., Yadav, V., Jain, R., Soni, G.: Adoption of blockchain in supply chain: an analysis of influencing factors. J. Enterp. Inf. Manag. 33(3), 437–456 (2020). https://doi.org/10.1108/JEIM-07-2019-0186

    Article  Google Scholar 

  17. Crawford, E.G., Toft, Y., Kift, R.L.: Attending to technology adoption in railway control rooms to increase functional resilience. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8532 LNAI, pp. 447–457 (2014). https://doi.org/10.1007/978-3-319-07515-0_45

  18. Lee, C., Mehler, B., Reimer, B., Coughlin, J.F.: User perceptions toward in-vehicle technologies: relationships to age, health, preconceptions, and hands-on experience. Int. J. Hum. Comput. Interact. 31(10), 667–681 (2015). https://doi.org/10.1080/10447318.2015.1070545

    Article  Google Scholar 

  19. Mendelson, J., Romano Bergstrom, J.C.: Age differences in the knowledge and usage of QR codes. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8010 LNCS, no. Part 2, pp. 156–161 (2013). https://doi.org/10.1007/978-3-642-39191-0_18

  20. William, J.A., Murugesh, R.: Cognitive modeling in human computer interaction: understanding technology usage in elderly people. In: 2016 IEEE International Conference on Advances in Computer Applications, ICACA 2016, pp. 115–120 (2017). https://doi.org/10.1109/ICACA.2016.7887934

  21. Papa, L.E., Hayajneh, T.: A survey of defensive measures for digital persecution in the global south. Future Internet 12(10), 1–17 (2020). https://doi.org/10.3390/fi12100166

    Article  Google Scholar 

  22. Moody, G.D., Wu, D.: Security, but at what cost? An examination of security notifications within a mobile application. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8017 LNCS, no. Part 2, pp. 391–399 (2013). https://doi.org/10.1007/978-3-642-39215-3_46

  23. Hastall, M.R., Dockweiler, C., Mühlhaus, J.: Achieving end user acceptance: building blocks for an evidence-based user-centered framework for health technology development and assessment. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10279 LNCS, pp. 13–25 (2017). https://doi.org/10.1007/978-3-319-58700-4_2

  24. Molinillo, S., Muñoz-Leiva, F., Pérez-García, F.: The effects of human-game interaction, network externalities, and motivations on players’ use of mobile casual games. Ind. Manag. Data Syst. 118(9), 1766–1786 (2018). https://doi.org/10.1108/IMDS-11-2017-0544

    Article  Google Scholar 

  25. Still, B., Crane, K.: Fundamentals of User-Centered Design. CRC Press (2017). https://doi.org/10.4324/9781315200927

  26. Milton, A.: Filmic Design—a Hitchcockian Design Strategy

    Google Scholar 

  27. Bleecker, J.: Design Fiction: A Short Essay on Design, Science, Fact and Fiction (2009). [Online]. Available: http://cli.gs/VvrmvQ

  28. Coulton, P., Lindley, J., Sturdee, M., Stead, M.: Design fiction as world building. In: Design Fiction as World Building, pp. 163–179 (2017)

    Google Scholar 

  29. Alexandrakis, D., Chorianopoulos, K., Tselios, N.: Insights on older adults’ attitudes and behavior through the participatory design of an online storytelling platform. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11746 LNCS, pp. 465–474 (2019). https://doi.org/10.1007/978-3-030-29381-9_29

  30. Rapp, A.: Design fictions for behaviour change: exploring the long-term impacts of technology through the creation of fictional future prototypes. Behav. Inf. Technol. (2019). https://doi.org/10.1080/0144929X.2018.1526970

    Article  Google Scholar 

  31. Wong, J.S.: Design and fiction: imagining civic AI. Interactions 25(6), 42–45 (2018). https://doi.org/10.1145/3274568

    Article  Google Scholar 

  32. Spaulding, E., Faste, H.: Design-driven narrative: using stories to prototype and build immersive design worlds. In: Conference on Human Factors in Computing Systems—Proceedings, pp. 2843–2852 (2013). https://doi.org/10.1145/2470654.2481394

  33. Blythe, M.: Research through design fiction: narrative in real and imaginary abstracts (2014). https://doi.org/10.1145/2556288.2557098

  34. Lindley, J., Coulton, P.: Game of drones. In: CHI PLAY 2015—Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, pp. 613–618 (2015). https://doi.org/10.1145/2793107.2810300

  35. Wong, R.Y., Mulligan, D.K.: When a product is still fictional: anticipating and speculating futures through concept videos (2016). https://doi.org/10.1145/2901790.2901801

  36. Blythe, M., Encinas, E., Kaye, J., Avery, M.L., McCabe, R., Andersen, K.: Imaginary design workbooks. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, vol. 2018-Apr, pp. 1–12, Apr 2018. https://doi.org/10.1145/3173574.3173807

  37. Lindley, J., Coulton, P., Sturdee, M.: Implications for adoption. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, vol. 2017-May, pp. 265–277, May 2017. https://doi.org/10.1145/3025453.3025742

  38. Wong, R.Y., Mulligan, D.K.: When a product is still fictional. In: Proceedings of the 2016 ACM Conference on Designing Interactive Systems, pp. 121–133, June 2016. https://doi.org/10.1145/2901790.2901801

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Authors and Affiliations

  1. Department of Design, Indian Institute of Technology Guwahati, Guwahati, Assam, 78103, India

    Suvodeep Misra, Debayan Dhar & Sukumar Nandi

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  1. Suvodeep Misra
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  2. Debayan Dhar
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  3. Sukumar Nandi
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Correspondence to Debayan Dhar .

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  1. Centre for Product Design and Manufacturing, Indian Institute of Science, Bengaluru, Karnataka, India

    Amaresh Chakrabarti

  2. Centre for Product Design and Manufacturing, Indian Institute of Science, Bengaluru, Karnataka, India

    Vishal Singh

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Misra, S., Dhar, D., Nandi, S. (2023). Design Fiction: A Way to Foresee the Future of Human–Computer Interaction Design Challenges. In: Chakrabarti, A., Singh, V. (eds) Design in the Era of Industry 4.0, Volume 1. ICORD 2023. Smart Innovation, Systems and Technologies, vol 343. Springer, Singapore. https://doi.org/10.1007/978-981-99-0293-4_65

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  • DOI: https://doi.org/10.1007/978-981-99-0293-4_65

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