Towards an affective computing feedback system to benefit underserved individuals: an example teaching social media skills

Authors:
Mohammad Nasser Saadatzi;Karla Conn Welch;Robert Pennington;James Graham
Affiliations:
Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY;Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY;Department of Special Education, College of Education and Human Development, University of Louisville, Louisville, KY;Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY
Venue:
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: user and context diversity - Volume 2
Year:
2013

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Abstract

Researchers have suggested that the use of technology may be effective during the instruction of a variety of academic and communication skills for individuals with disabilities [1, 2]. Also, the design of affect-sensitive interactions between humans and technology, a research area known as affective computing, is an increasingly important discipline in the human-computer interaction (HCI) and human-robot interaction (HRI) communities. Physiological signals could be used to determine which affective states are involved in HCI and HRI for a broad section of the population but may have increased utility for individuals with social or intellectual impairments. Therefore, employing affect-sensitive technologies in intervention sessions may provide a means to make strides in appropriate social interaction skills and other deficits, but further research is necessary to understand why these methods are successful and what applications are most useful for different individuals.