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Title: Towards disappearing user interfaces in ubiquitous computing : human enhancement from super senses to the sixth sense
Author: Hui, Terence Kam Luen
ISNI:       0000 0004 8508 3967
Awarding Body: University of Reading
Current Institution: University of Reading
Date of Award: 2019
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The traditional view of the human sixth sense has always been a myth. Scientists have uncovered additional human sensory systems above the five basic senses proposed by Aristotle two thousand years ago. However, there is still no replacement for the traditional sixth sense which is usually associated with the sense of the future or remote events, and the reason could be the fact that most people would like to acquire this power of perceiving the future. The discovery journey for the extra human senses has also enabled scientists to get a clearer picture of the human sensory systems and how they are connected to the outside world through physiology, psychology, neuroscience, bioengineering and many other related disciplines. In parallel, the research and development of technology has also evolved from connecting computers to the connecting of people using a massive sensory network through the Internet of Things. Artificial intelligence has enabled the transformation of a digital communication between machines through a standard of protocols to an affective communication between machines and humans utilising a sense of emotions. The present research investigates the feasibility of a possible solution to implement an artificial sixth sense for each individual connected to the Internet. The knowledge of computer science, electronic engineering, psychophysiology and biomedical engineering has been reviewed and studied. A conceptual framework is proposed to enhance the human senses through the association with the huge sensory system built on top of the Internet of Things. Missing technology has been hypothesised from the reviewing of literature where an immediate implementation is not yet ready. This hypothesis was proven by an experiment utilising emotionWear built from scratch as a framework for emotion recognition based on a proposed emotional response-stimulus synchronisation concept.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral