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    Rights statement: The final publication is available at Springer via http://dx.doi.org/10.1007/s00779-015-0870-z

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MeditAid: a wearable adaptive neurofeedback-based system for training mindfulness state

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>10/2015
<mark>Journal</mark>Personal and Ubiquitous Computing
Issue number7
Volume19
Number of pages14
Pages (from-to)1169-1182
<mark>State</mark>Published
Early online date4/09/15
<mark>Original language</mark>English

Abstract

A recent interest in interaction design is towards the development of novel technologies emphasizing the value of mindfulness, monitoring, awareness, and self-regulation for both health and wellbeing. Whereas existing systems have focused mostly on relaxation and awareness of feelings, there has been little exploration on tools supporting the self-regulation of attention during mindfulness sitting meditation. This paper describes the design and initial evaluation of MeditAid, a wearable system integrating electroencephalography (EEG) technology with an adaptive aural entrainment for real time training of mindfulness state. The system identifies different meditative states and provides feedback to support users in deepening their meditation. We report on a study with 16 meditators about the perceived strengths and limitations of the MeditAid system. We demonstrate the benefits of binaural feedback in deepening meditative states, particularly for novice meditators.

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The final publication is available at Springer via http://dx.doi.org/10.1007/s00779-015-0870-z