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The Role of Gamification and Evolutionary Computation in the Provision of Self-Guided Speech Therapy

The Role of Gamification and Evolutionary Computation in the Provision of Self-Guided Speech Therapy

Conor Higgins, Áine Kearns, Conor Ryan, Mikael Fernstrom
Copyright: © 2016 |Pages: 25
ISBN13: 9781466695221|ISBN10: 1466695226|EISBN13: 9781466695238
DOI: 10.4018/978-1-4666-9522-1.ch008
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MLA

Higgins, Conor, et al. "The Role of Gamification and Evolutionary Computation in the Provision of Self-Guided Speech Therapy." Handbook of Research on Holistic Perspectives in Gamification for Clinical Practice, edited by Daniel Novák, et al., IGI Global, 2016, pp. 158-182. https://doi.org/10.4018/978-1-4666-9522-1.ch008

APA

Higgins, C., Kearns, Á., Ryan, C., & Fernstrom, M. (2016). The Role of Gamification and Evolutionary Computation in the Provision of Self-Guided Speech Therapy. In D. Novák, B. Tulu, & H. Brendryen (Eds.), Handbook of Research on Holistic Perspectives in Gamification for Clinical Practice (pp. 158-182). IGI Global. https://doi.org/10.4018/978-1-4666-9522-1.ch008

Chicago

Higgins, Conor, et al. "The Role of Gamification and Evolutionary Computation in the Provision of Self-Guided Speech Therapy." In Handbook of Research on Holistic Perspectives in Gamification for Clinical Practice, edited by Daniel Novák, Bengisu Tulu, and Håvar Brendryen, 158-182. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9522-1.ch008

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Abstract

This chapter explores the potential for a combined gamification and evolutionary computation approach in facilitating continuous speech and language therapy. We present Ogma; a system intended to be primarily used by individuals with aphasia (the deterioration of an individual's expressive and or comprehensive abilities), though it could have wider applicability, given certain alterations. Ogma features an intuitive front-end word-finding game, the content for which is generated by a powerful offline genetic algorithm. A preliminary study of the front-end application's use by aphasic individuals is documented and discussed, while an early examination of the genetic algorithm's ability to discern the perceived complexity of individual words is presented.

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