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A Cyberpunk 2077 perspective on the prediction and understanding of future technology (2309.13970v1)

Published 25 Sep 2023 in cs.HC and cs.ET

Abstract: Science fiction and video games have long served as valuable tools for envisioning and inspiring future technological advancements. This position paper investigates the potential of Cyberpunk 2077, a popular science fiction video game, to shed light on the future of technology, particularly in the areas of artificial intelligence, edge computing, augmented humans, and biotechnology. By analyzing the game's portrayal of these technologies and their implications, we aim to understand the possibilities and challenges that lie ahead. We discuss key themes such as neurolink and brain-computer interfaces, multimodal recording systems, virtual and simulated reality, digital representation of the physical world, augmented and AI-based home appliances, smart clothing, and autonomous vehicles. The paper highlights the importance of designing technologies that can coexist with existing preferences and systems, considering the uneven adoption of new technologies. Through this exploration, we emphasize the potential of science fiction and video games like Cyberpunk 2077 as tools for guiding future technological advancements and shaping public perception of emerging innovations.

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References (105)
  1. B. Landon, Science Fiction after 1900: from the Steam Man to the Stars. Routledge, 2014.
  2. J. E. Gunn, The road to science fiction: From Gilgamesh to Wells. No. 1, Rowman & Littlefield, 2002.
  3. W. Gibson, Neuromancer. Ace Books, 1984.
  4. N. Stephenson, Snow Crash. Bantam Books, 1992.
  5. P. K. Dick, Do Androids Dream of Electric Sheep? Doubleday, 1968.
  6. C. Doctorow, Little Brother. Tom Doherty Associates, 2008.
  7. Gene Roddenberry, “Star trek,” 1966. TV Series.
  8. C. Liu and K. Liu, The Three-Body Problem. Tor Books, 2015.
  9. A. Samuel, “Can science fiction predict the future of technology,” The Digital Voyage column, JSTOR, 2019.
  10. K. Kelly, The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future. Viking, 2016.
  11. P. Ankermann, O. Swierad, and K. Krzyscin, “The tech and art of cyberspaces in cyberpunk 2077,” in ACM SIGGRAPH 2021 Talks, pp. 1–2, 2021.
  12. M. Batylda, The world of cyberpunk 2077. Dark Horse Comics, 2020.
  13. C. Lay, “Cyberpunk 2077 as philosophy: Balancing the (mystical) ghost in the (transhuman) machine,” The Palgrave Handbook of Popular Culture as Philosophy, pp. 1–23, 2020.
  14. N. Bostrom, “Superintelligence: Paths, dangers, strategies,” 2014.
  15. A. Fox, “The (possible) future of cyborg healthcare: Depictions of disability in cyberpunk 2077,” Science as Culture, vol. 30, no. 4, pp. 591–597, 2021.
  16. F. Paweł, E. Guardiola, J. Holopainen, and R. Klemke, “Cyberpunk 2077: Special issue,” Journal of Gaming & Virtual Worlds, vol. 14, no. 1, pp. 1–50, 2022.
  17. T. Banbury and K. Fritsch, ““so, you wanna live forever?” representations of disability, gender, and technology in cyberpunk 2077,” Gender, Sex, and Tech!: An Intersectional Feminist Guide, p. 230, 2022.
  18. M. J. Steele, “Chippin’in: An analysis of the criminological concepts within cyberpunk 2077,” Games and Culture, p. 15554120231161042, 2023.
  19. F. Jameson, A Singular Modernity: Essay on the Ontology of the Present. Verso, 2002.
  20. E. M. Rogers, Diffusion of Innovations. Simon and Schuster, 2010.
  21. Cambridge University Press, 2001.
  22. A. M. Turing, “Computing machinery and intelligence,” Mind, vol. 59, no. 236, pp. 433–460, 1950.
  23. C. Bassett, E. Steinmueller, and G. Voss, “Better made up: The mutual influence of science fiction and innovation,” Nesta Work. Pap, vol. 13, no. 07, 2013.
  24. D. Bennett, “Scientific eventuality or science fiction: The future of people with different abilities,” Futures, vol. 87, pp. 83–90, 2017.
  25. D. Atkin, “The science of star trek,” Omni, vol. 17, no. 8, pp. 46–54, 1995.
  26. P. Jordan and B. Auernheimer, “The fiction in computer science: a qualitative data analysis of the acm digital library for traces of star trek,” in Advances in Usability and User Experience: Proceedings of the AHFE 2017 International Conference on Usability and User Experience, July 17-21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA 8, pp. 508–520, Springer, 2018.
  27. A. C. Clarke, 2001: A Space Odyssey. New American Library, 1968.
  28. S. Kubrick, “2001: A space odyssey,” 1968.
  29. Royal Blind Society of New South Wales., 1977.
  30. W. Gibson, Johnny Mnemonic. Ace Books, 1986.
  31. E. P. Neff, “Printing cures: Organovo advances with 3d-printed liver tissue,” Lab animal, vol. 46, no. 3, p. 57, 2017.
  32. John Wiley & Sons, 2017.
  33. A. K. Firat, W. L. Woon, and S. Madnick, “Technological forecasting–a review,” Composite Information Systems Laboratory (CISL), Massachusetts Institute of Technology, pp. 1–19, 2008.
  34. J. P. Roberts and A. Middleton, “Evolving products: from human design to self-organisation via science fiction prototyping,” Technological Forecasting and Social Change, vol. 84, pp. 15–28, 2014.
  35. D. W. Shaffer, K. R. Squire, R. Halverson, and J. P. Gee, “Video games and the future of learning,” Phi delta kappan, vol. 87, no. 2, pp. 105–111, 2005.
  36. R. Smith, “The disruptive potential of game technologies,” Research-Technology Management, vol. 50, no. 2, pp. 57–64, 2007.
  37. A. Lambeth, M. Gandy Coleman, and L. Levy, “Developing design frameworks and applications for future technologies through video game representations,” in HCI in Games: First International Conference, HCI-Games 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings 21, pp. 22–34, Springer, 2019.
  38. J. Pirker, “Video games, technology, and sport: The future is interactive, immersive, and adaptive,” 21st century sports: How technologies will change sports in the digital age, pp. 263–273, 2020.
  39. N. Bostrom and R. Roache, “Ethical issues in human enhancement,” New waves in applied ethics, pp. 120–152, 2008.
  40. Oxford University Press, 2009.
  41. K. Warwick, “Implications and consequences of robots with biological brains,” Ethics and information technology, vol. 12, pp. 223–234, 2010.
  42. M. A. Lebedev and M. A. Nicolelis, “Brain-machine interfaces: from basic science to neuroprostheses and neurorehabilitation,” Physiological Reviews, vol. 97, no. 2, pp. 767–837, 2017.
  43. K. Kilteni, R. Groten, and M. Slater, “The sense of embodiment in virtual reality,” Presence: Teleoperators and Virtual Environments, vol. 21, no. 4, pp. 373–387, 2012.
  44. L.-H. Lee, T. Braud, P. Zhou, L. Wang, D. Xu, Z. Lin, A. Kumar, C. Bermejo, and P. Hui, “All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda,” arXiv preprint arXiv:2110.05352, 2021.
  45. John Wiley & Sons, 2004.
  46. M. Gams, I. Y.-H. Gu, A. Härmä, A. Muñoz, and V. Tam, “Artificial intelligence and ambient intelligence,” Journal of Ambient Intelligence and Smart Environments, vol. 11, no. 1, pp. 71–86, 2019.
  47. S. Thrun, “Toward robotic cars,” Communications of the ACM, vol. 53, no. 4, pp. 99–106, 2010.
  48. R. Knote, A. Janson, M. Söllner, and J. M. Leimeister, “Classifying smart personal assistants: An empirical cluster analysis,” 2019.
  49. V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qualitative research in psychology, vol. 3, no. 2, pp. 77–101, 2006.
  50. P. Pilla and R. A. A. Moreira, “Cybernetic systems: Technology embedded into the human experience,” in Bridging Human Intelligence and Artificial Intelligence, pp. 171–183, Springer, 2022.
  51. D. Ghadage, R. Bagde, S. Jha, M. Dhadi, and C. Barhate, “A review on current technological advancements in prosthetic arms,” in 2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), pp. 328–333, IEEE, 2023.
  52. M. Bumbaširević, A. Lesic, T. Palibrk, D. Milovanovic, M. Zoka, T. Kravić-Stevović, and S. Raspopovic, “The current state of bionic limbs from the surgeon’s viewpoint,” EFORT open reviews, vol. 5, no. 2, pp. 65–72, 2020.
  53. R. F. Parsons, A. Baquerizo, V. A. Kirchner, S. Malek, C. S. Desai, A. Schenk, E. B. Finger, T. V. Brennan, K. R. Parekh, M. MacConmara, K. Brayman, J. Fair, J. A. Wertheim, and the ASTS Cellular Transplantation Committee, “Challenges, highlights, and opportunities in cellular transplantation: A white paper of the current landscape,” American Journal of Transplantation, vol. 21, no. 10, pp. 3225–3238, 2021.
  54. S. Sohn, M. V. Buskirk, M. J. Buckenmeyer, R. Londono, and D. Faulk, “Whole organ engineering: Approaches, challenges, and future directions,” Applied Sciences, vol. 10, no. 12, 2020.
  55. F. Akram, S. Sahreen, F. Aamir, I. U. Haq, K. Malik, M. Imtiaz, W. Naseem, N. Nasir, and H. M. Waheed, “An insight into modern targeted genome-editing technologies with a special focus on crispr/cas9 and its applications,” Molecular Biotechnology, vol. 65, no. 2, pp. 227–242, 2023.
  56. M. J. Joyner, “Genetic approaches for sports performance: how far away are we?,” Sports Medicine, vol. 49, no. Suppl 2, pp. 199–204, 2019.
  57. D. Varillas-Delgado, J. Del Coso, J. Gutiérrez-Hellín, M. Aguilar-Navarro, A. Muñoz, A. Maestro, and E. Morencos, “Genetics and sports performance: the present and future in the identification of talent for sports based on dna testing,” European journal of applied physiology, vol. 122, no. 8, pp. 1811–1830, 2022.
  58. A. Kawala-Sterniuk, N. Browarska, A. Al-Bakri, M. Pelc, J. Zygarlicki, M. Sidikova, R. Martinek, and E. J. Gorzelanczyk, “Summary of over fifty years with brain-computer interfaces—a review,” Brain Sciences, vol. 11, no. 1, 2021.
  59. S. Chandrasekaran, M. Fifer, S. Bickel, and et al., “Historical perspectives, challenges, and future directions of implantable brain-computer interfaces for sensorimotor applications,” Bioelectronics in Medicine, vol. 7, p. 14, 2021.
  60. F. Brocal, “Brain-computer interfaces in safety and security fields: Risks and applications,” Safety Science, vol. 160, p. 106051, 2023.
  61. Z. Qiu, H. Zhao, S. Wang, and Y. Wang, “Key technologies and development directions of brain-computer interface technology for manned space mission,” in 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI), pp. 454–458, IEEE, 2023.
  62. T. Zhan, K. Yin, J. Xiong, Z. He, and S.-T. Wu, “Augmented reality and virtual reality displays: perspectives and challenges,” Iscience, vol. 23, no. 8, 2020.
  63. D. Saredakis, A. Szpak, B. Birckhead, H. A. Keage, A. Rizzo, and T. Loetscher, “Factors associated with virtual reality sickness in head-mounted displays: a systematic review and meta-analysis,” Frontiers in human neuroscience, vol. 14, p. 96, 2020.
  64. W. Dangxiao, G. Yuan, L. Shiyi, Y. Zhang, X. Weiliang, and X. Jing, “Haptic display for virtual reality: progress and challenges,” Virtual Reality & Intelligent Hardware, vol. 1, no. 2, pp. 136–162, 2019.
  65. L. Kugler, “The state of virtual reality hardware,” Communications of the ACM, vol. 64, no. 2, pp. 15–16, 2021.
  66. E. VanDerHorn and S. Mahadevan, “Digital twin: Generalization, characterization and implementation,” Decision support systems, vol. 145, p. 113524, 2021.
  67. C. De Maeyer and P. Markopoulos, “Are digital twins becoming our personal (predictive) advisors? ‘our digital mirror of who we were, who we are and who we will become’,” in Human Aspects of IT for the Aged Population, HCII’20, pp. 250–268, Springer, 2020.
  68. A. Sarkar and B. K. Singh, “A review on performance, security and various biometric template protection schemes for biometric authentication systems,” Multimedia Tools and Applications, vol. 79, pp. 27721–27776, 2020.
  69. R. Ryu, S. Yeom, D. Herbert, and J. Dermoudy, “The design and evaluation of adaptive biometric authentication systems: Current status, challenges and future direction,” ICT Express, 2023.
  70. T. Taleb, C. Benzaïd, M. Bordallo Lopez, K. Mikhaylov, S. Tarkoma, P. Kostakos, N. H. Mahmood, P. Pirinen, M. Matinmikko-Blue, M. Latva-Aho, et al., “6g system architecture: A service of services vision,” ITU journal on future and evolving technologies, vol. 3, no. 3, pp. 710–743, 2022.
  71. L. Lovén, H. F. Shahid, L. Nguyen, E. Harjula, O. Silvén, S. Pirttikangas, and M. Bordallo López, “Semantic slicing across the distributed intelligent 6g wireless networks,”
  72. D. A. Alboaneen, D. Alsaffar, A. Alateeq, A. Alqahtani, A. Alfahhad, B. Alqahtani, R. Alamri, and L. Alamri, “Internet of things based smart mirrors: A literature review,” in 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS), pp. 1–6, March 2020.
  73. L. Luce and L. Luce, “Computer vision and smart mirrors,” Artificial Intelligence for Fashion: How AI is Revolutionizing the Fashion Industry, pp. 39–51, 2019.
  74. B. K. Sovacool and D. D. F. Del Rio, “Smart home technologies in europe: A critical review of concepts, benefits, risks and policies,” Renewable and sustainable energy reviews, vol. 120, p. 109663, 2020.
  75. K. Dahlgren, S. Pink, Y. Strengers, L. Nicholls, and J. Sadowski, “Personalization and the smart home: Questioning techno-hedonist imaginaries,” Convergence, vol. 27, no. 5, pp. 1155–1169, 2021.
  76. J. Wang, L. Zhang, Y. Huang, J. Zhao, and F. Bella, “Safety of autonomous vehicles,” Journal of advanced transportation, vol. 2020, pp. 1–13, 2020.
  77. M. N. Ahangar, Q. Z. Ahmed, F. A. Khan, and M. Hafeez, “A survey of autonomous vehicles: Enabling communication technologies and challenges,” Sensors, vol. 21, no. 3, p. 706, 2021.
  78. E. Kakaletsis, C. Symeonidis, M. Tzelepi, I. Mademlis, A. Tefas, N. Nikolaidis, and I. Pitas, “Computer vision for autonomous uav flight safety: An overview and a vision-based safe landing pipeline example,” Acm Computing Surveys (Csur), vol. 54, no. 9, pp. 1–37, 2021.
  79. H. Kurunathan, H. Huang, K. Li, W. Ni, and E. Hossain, “Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey,” IEEE Communications Surveys & Tutorials, 2023.
  80. S. Srinivas, S. Ramachandiran, and S. Rajendran, “Autonomous robot-driven deliveries: A review of recent developments and future directions,” Transportation Research Part E: Logistics and Transportation Review, vol. 165, p. 102834, 2022.
  81. M. Hossain, “Autonomous delivery robots: A literature review,” IEEE Engineering Management Review, 2023.
  82. G. Marcus, “Deep learning is hitting a wall,” Nautilus, Accessed, pp. 03–11, 2022.
  83. M. Brcic and R. V. Yampolskiy, “Impossibility results in ai: a survey,” ACM Computing Surveys, vol. 56, no. 1, pp. 1–24, 2023.
  84. Q. Hu, Y. Lu, Z. Pan, Y. Gong, and Z. Yang, “Can ai artifacts influence human cognition? the effects of artificial autonomy in intelligent personal assistants,” International Journal of Information Management, vol. 56, p. 102250, 2021.
  85. B. Wang, X. Deng, and H. Sun, “Iteratively prompt pre-trained language models for chain of thought,” arXiv preprint arXiv:2203.08383, 2022.
  86. J. Wei, Y. Tay, R. Bommasani, C. Raffel, B. Zoph, S. Borgeaud, D. Yogatama, M. Bosma, D. Zhou, D. Metzler, et al., “Emergent abilities of large language models,” arXiv preprint arXiv:2206.07682, 2022.
  87. Z. Liang, J. Cheng, Q. Zhao, X. Zhao, Z. Han, Y. Chen, Y. Ma, and X. Feng, “High-performance flexible tactile sensor enabling intelligent haptic perception for a soft prosthetic hand,” Advanced Materials Technologies, vol. 4, no. 8, p. 1900317, 2019.
  88. E. J. Wolf, T. H. Cruz, A. A. Emondi, N. B. Langhals, S. Naufel, G. C. Peng, B. W. Schulz, and M. Wolfson, “Advanced technologies for intuitive control and sensation of prosthetics,” Biomedical engineering letters, vol. 10, pp. 119–128, 2020.
  89. A. L. McGuire, S. Gabriel, S. A. Tishkoff, and et al., “The road ahead in genetics and genomics,” Nature Reviews Genetics, vol. 21, pp. 581–596, 2020.
  90. M. Zabcikova, Z. Koudelkova, R. Jasek, and J. J. Lorenzo Navarro, “Recent advances and current trends in brain-computer interface research and their applications,” International Journal of Developmental Neuroscience, vol. 82, no. 2, pp. 107–123, 2022.
  91. M. A. Rojas-Sánchez, P. R. Palos-Sánchez, and J. A. Folgado-Fernández, “Systematic literature review and bibliometric analysis on virtual reality and education,” Education and Information Technologies, vol. 28, no. 1, pp. 155–192, 2023.
  92. B. Xie, H. Liu, R. Alghofaili, Y. Zhang, Y. Jiang, F. D. Lobo, C. Li, W. Li, H. Huang, M. Akdere, et al., “A review on virtual reality skill training applications,” Frontiers in Virtual Reality, vol. 2, p. 645153, 2021.
  93. A. Ogunjimi, M. Rahman, N. Islam, and R. Hasan, “Smart mirror fashion technology for the retail chain transformation,” Technological Forecasting and Social Change, vol. 173, p. 121118, 2021.
  94. D. Driess, F. Xia, M. S. Sajjadi, C. Lynch, A. Chowdhery, B. Ichter, A. Wahid, J. Tompson, Q. Vuong, T. Yu, et al., “Palm-e: An embodied multimodal language model,” arXiv preprint arXiv:2303.03378, 2023.
  95. C. Lutz, “Digital inequalities in the age of artificial intelligence and big data,” Human Behavior and Emerging Technologies, vol. 1, no. 2, pp. 141–148, 2019.
  96. P. Kaimara, A. Oikonomou, and I. Deliyannis, “Could virtual reality applications pose real risks to children and adolescents? a systematic review of ethical issues and concerns,” Virtual Reality, vol. 26, no. 2, pp. 697–735, 2022.
  97. S. Schneider, Artificial you: AI and the future of your mind. Princeton University Press, 2019.
  98. E. Yudkowsky, “The ai alignment problem: why it is hard, and where to start,” Symbolic Systems Distinguished Speaker, vol. 4, 2016.
  99. V. Christianto and F. Smarandache, What we can do to save humanity in the coming era of global eavesdroppers. Infinite Study, 2018.
  100. J. Riekki and A. Mämmelä, “Research and education towards smart and sustainable world,” IEEE Access, vol. 9, pp. 53156–53177, 2021.
  101. I. Røpke, “The unsustainable directionality of innovation–the example of the broadband transition,” Research Policy, vol. 41, no. 9, pp. 1631–1642, 2012.
  102. K. Yeung, “Five fears about mass predictive personalization in an age of surveillance capitalism,” International Data Privacy Law, vol. 8, no. 3, pp. 258–269, 2018.
  103. S. Karwatzki, O. Dytynko, M. Trenz, and D. Veit, “Beyond the personalization–privacy paradox: Privacy valuation, transparency features, and service personalization,” Journal of Management Information Systems, vol. 34, no. 2, pp. 369–400, 2017.
  104. M. Hertzum, “Technology adoption: Boosters and barriers,” in Organizational Implementation: The Design in Use of Information Systems, pp. 17–28, Springer, 2021.
  105. K. Knez, “Technology diffusion and uneven development,” Journal of Evolutionary Economics, pp. 1–25, 2023.
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