ABSTRACT
Current HCI research overlooks an opportunity to create human-machine interaction within the unique cognition ongoing during dreams and drowsiness. During sleep onset, a window of opportunity arises in the form of Hypnagogia, a semi-lucid sleep state where we begin dreaming before we fall fully unconscious. To access this state, we developed Dormio, the first interactive interface for sleep, designed for use across levels of consciousness. Here we present evidence for a first use case, directing dream content to augment human creativity. The system enables future HCI research into Hypnagogia, extending interactive technology across levels of consciousness.
Supplemental Material
- Dzmitry Aliakseyeu, Jia Du, Elly Zwartkruis-Pelgrim, and Sriram Subramanian. 2011. Exploring interaction strategies in the context of sleep. Human-Computer Interaction - INTERACT 2011 (2011), 19--36. Google ScholarDigital Library
- Teresa M Amabile. 1985. Motivation and creativity: Effects of motivational orientation on creative writers. Journal of personality and social psychology 48, 2 (1985), 393.Google ScholarCross Ref
- Judith Amores and Pattie Maes. 2017. Essence: Olfactory interfaces for unconscious influence of mood and cognitive performance. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 28--34. Google ScholarDigital Library
- Wilma A. Bainbridge, Justin W. Hart, Elizabeth S. Kim, and Brian Scassellati. 2011. The benefits of interactions with physically present robots over video-displayed agents. International Journal of Social Robotics 3, 1 (2011), 41--52.Google ScholarCross Ref
- Patti Bao, Elizabeth Gerber, Darren Gergle, and David Hoffman. 2010. Momentum: getting and staying on topic during a brainstorm. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 1233--1236. Google ScholarDigital Library
- Deirdre Barrett. 1993. The "committee of sleep": A study of dream incubation for problem solving. Dreaming 3, 2 (1993), 115.Google ScholarCross Ref
- O. M. Bazanova and L. I. Aftanas. 2008. Individual measures of electroencephalogram alpha activity and non-verbal creativity. Neuroscience and behavioral physiology 38, 3 (2008), 227--235.Google Scholar
- Margaret M. Bradley and Peter J. Lang. 1999. Affective norms for English words (ANEW): Instruction manual and affective ratings. Technical Report. Technical report C-1, the center for research in psychophysiology, University of Florida.Google Scholar
- Cynthia Breazeal, Paul L. Harris, David DeSteno, Kory Westlund, M. Jacqueline, Leah Dickens, and Sooyeon Jeong. 2016. Young children treat robots as informants. Topics in cognitive science 8, 2 (2016), 481--491.Google Scholar
- Denise J. Cai, Sarnoff A. Mednick, Elizabeth M. Harrison, Jennifer C. Kanady, and Sara C. Mednick. 2009. REM, not incubation, improves creativity by priming associative networks. Proceedings of the National Academy of Sciences 106, 25 (2009), 10130--10134.Google ScholarCross Ref
- Arthur J. Cropley. 2000. Defining and measuring creativity: Are creativity tests worth using?, Roeper Review 23, 2 (2000), 72--79.Google ScholarCross Ref
- Stéphanie Devuyst, Thierry Dutoit, Patricia Stenuit, and Myriam Kerkhofs. 2011. Automatic sleep spindles detection - overview and development of a standard proposal assessment method. In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE. IEEE, 1713--1716.Google Scholar
- Juan Fasola and M Mataric. 2011. Comparing physical and virtual embodiment in a socially assistive robot exercise coach for the elderly. Center for Robotics and Embedded Systems, Los Angeles, CA (2011).Google Scholar
- Louise Goupil and Tristan Bekinschtein. 2012. Cognitive processing during the transition to sleep. Archives italiennes de biologie 150, 2/3 (2012), 140--154.Google Scholar
- Michael Gradisar, Amy R. Wolfson, Allison G. Harvey, Lauren Hale, Russell Rosenberg, and Charles A. Czeisler. 2013. The sleep and technology use of Americans: findings from the National Sleep Foundation's 2011 Sleep in America poll. Journal of clinical sleep medicine: JCSM: official publication of the American Academy of Sleep Medicine 9, 12 (2013), 1291.Google Scholar
- Joy Paul Guilford. 1956. The structure of intellect. Psychological bulletin 53, 4 (1956), 267.Google Scholar
- Joy Paul Guilford. 1967. The nature of human intelligence. (1967).Google Scholar
- Younbo Jung and Kwan Min Lee. 2004. Effects of physical embodiment on social presence of social robots. Proceedings of PRESENCE (2004), 80--87.Google Scholar
- Hafizoah Kassim, Howard Nicholas, and Wan Ng. 2014. Using a multimedia learning tool to improve creative performance. Thinking Skills and Creativity 13 (2014), 9--19.Google ScholarCross Ref
- Manoochehr Khatami. 1978. Creativity and altered states of consciousness. Psychiatric Annals 8, 3 (1978), 57--64.Google ScholarCross Ref
- Jamy Li. 2015. The benefit of being physically present: A survey of experimental works comparing copresent robots, telepresent robots and virtual agents. International Journal of Human-Computer Studies 77 (2015), 23--37. Google ScholarDigital Library
- Wanyu Liu, Bernd Ploderer, and Thuong Hoang. 2015. In bed with technology: challenges and opportunities for sleep tracking. In Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction. ACM, 142--151. Google ScholarDigital Library
- M. Massimini, G. Tononi, and R. Huber. 2009. Slow waves, synaptic plasticity and information processing: insights from transcranial magnetic stimulation and high-density EEG experiments. European Journal of Neuroscience 29, 9 (2009), 1761--1770.Google ScholarCross Ref
- Paolo Mazzarello. 2000. What dreams may come? Nature 408, 6812 (2000), 523--524.Google Scholar
- Juliane Minkwitz, Maja U. Trenner, Christian Sander, Sebastian Olbrich, Abigail J. Sheldrick, Ulrich Hegerl, and Hubertus Himmerich. 2012. Time perception at different EEG-vigilance levels. Behavioral and Brain Functions 8, 1 (2012), 50.Google ScholarCross Ref
- Matthias Mölle, Lisa Marshall, Steffen Gais, and Jan Born. 2002. Grouping of spindle activity during slow oscillations in human non-rapid eye movement sleep. Journal of Neuroscience 22, 24 (2002), 10941--10947.Google ScholarCross Ref
Index Terms
- Dormio: Interfacing with Dreams
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