Speeching: mobile crowdsourced speech assessment to support self-monitoring and management for people with Parkinson's

Roisin McNaney, Mohammad Othman, Dan Richardson, Paul Dunphy, Telmo Amaral, Nick Miller, Helen Stringer, Patrick Olivier, John Vines

Research output: Contribution to conferenceConference Paperpeer-review

Abstract

We present Speeching, a mobile application that uses crowdsourcing to support the self-monitoring and management of speech and voice issues for people with Parkinson's (PwP). The application allows participants to audio record short voice tasks, which are then rated and assessed by crowd workers. Speeching then feeds these results back to provide users with examples of how they were perceived by listeners unconnected to them (thus not used to their speech patterns). We conducted our study in two phases. First we assessed the feasibility of utilising the crowd to provide ratings of speech and voice that are comparable to those of experts. We then conducted a trial to evaluate how the provision of feedback, using Speeching, was valued by PwP. Our study highlights how applications like Speeching open up new opportunities for self-monitoring in digital health and wellbeing, and provide a means for those …
Original languageEnglish
Pages4464
Number of pages4476
Publication statusPublished - 2016
EventProceedings of the 2016 CHI Conference on Human Factors in Computing Systems: CHI -
Duration: 2 May 2016 → …

Conference

ConferenceProceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Period2/05/16 → …

Keywords

  • Digital Health
  • Speech Therapy
  • Parkinson's disease

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