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Augmenting Interaction Possibilities between People with Mobility Impairments and Their Surrounding Environment

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Advanced Machine Learning Technologies and Applications (AMLTA 2012)

Abstract

Disability is manifested when person-environment interactions result in low participation in daily life activities, which involves interaction with the environment. We present a smart Bluetooth power strip that enables the implementation of convenient interaction paradigms in order to facilitate the interaction between people with reduced mobility and their surrounding environment. In particular, two gestures-based interaction paradigms are presented: a specific application for smartphones and a natural deictic gesture paradigm. The usability test conducted with 13 users assessed the enhanced accessibility provided by these interaction paradigms for the control of electrical appliances present in the users’ surrounding environment. The gestural approach scored 84 points out of 100 in the Brooke’s system usability scale; the smartphone approach scored 91.

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© 2012 Springer-Verlag Berlin Heidelberg

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Caon, M., Carrino, S., Ruffieux, S., Khaled, O.A., Mugellini, E. (2012). Augmenting Interaction Possibilities between People with Mobility Impairments and Their Surrounding Environment. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_18

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  • DOI: https://doi.org/10.1007/978-3-642-35326-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35325-3

  • Online ISBN: 978-3-642-35326-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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