#Scanners: exploring the control of adaptive films using brain-computer interaction

Pike, Matthew and Ramchurn, Richard and Benford, Steve and Wilson, Max L. (2016) #Scanners: exploring the control of adaptive films using brain-computer interaction. In: 34th Annual ACM Conference on Human Factors in Computing Systems (CHI'16), 7th-13th May 2016, San Jose, USA.

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This paper explores the design space of bio-responsive entertainment, in this case using a film that responds to the brain and blink data of users. A film was created with four parallel channels of footage, where blinking and levels of attention and meditation, as recorded by a commercially available EEG device, affected which footage participants saw. As a performance-led piece of research in the wild, this experience, named #Scanners, was presented at a week long national exhibition in the UK. We examined the experiences of 35 viewers, and found that these forms of partially-involuntary control created engaging and enjoyable, but sometimes distracting, experiences. We translate our findings into a two-dimensional design space between the extent of voluntary control that a physiological measure can provide against the level of conscious awareness that the user has of that control. This highlights that novel design opportunities exist when deviating from these two-dimensions - when giving up conscious control and when abstracting the affect of control. Reflection on of how viewers negotiated this space during an experience reveals novel design tactics.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 34th Annual ACM Conference on Human Factors in Computing Systems, http://dx.doi.org/10.1145/2858036.2858276. ISBN 9781450333627
Keywords: Control; BCI; TV & Film; Interactive Multimedia.
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Depositing User: Wilson, Max
Date Deposited: 22 Jan 2016 09:15
Last Modified: 14 Sep 2016 03:27
URI: http://eprints.nottingham.ac.uk/id/eprint/31332

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