Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728550
Title: Exploring the use of brain-sensing technologies for natural interactions
Author: Pike, Matthew
ISNI:       0000 0004 6494 2566
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2017
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Abstract:
Recent technical innovation in the field of Brain-Computer Interfaces (BCIs) has increased the opportunity for including physical, brain-sensing devices as a part of our day-to-day lives. The potential for obtaining a time-correlated, direct, brain-based measure of a participant's mental activity is an alluring and important development for HCI researchers. In this work, we investigate the application of BCI hardware for answering HCI centred research questions, in turn, fusing the two disciplines to form an approach we name - Brain based Human-Computer Interaction (BHCI). We investigate the possibility of using BHCI to provide natural interaction - an ideal form of HCI, where communication between man-and-machine is indistinguishable from everyday forms of interactions such as Speaking and Gesturing. We present the development, execution and output of three user studies investigating the application of BHCI. We evaluate two technologies, fNIRS and EEG, and investigate their suitability for supporting BHCI based interactions. Through our initial studies, we identify that the lightweight and portable attributes of EEG make it preferable for use in developing natural interactions. Building upon this, we develop an EEG based cinematic experience exploring natural forms of interaction through the mind of the viewer. In studying the viewers response to this experience, we were able to develop a taxonomy of control based on how viewers discovered and exerted control over the experience.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.728550  DOI: Not available
Keywords: QA 75 Electronic computers. Computer science
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