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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)
2 Downloads (Pure)

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 selfmonitoring in digital health and wellbeing, and provide a means for those without regular access to clinical assessment services to practice- and get meaningful feedback on-their speech.

Original languageEnglish
Title of host publicationCHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherACM
Pages4464-4476
Number of pages13
ISBN (Electronic)9781450333627
DOIs
Publication statusPublished - 7 May 2016
Externally publishedYes
Event34th Annual Conference on Human Factors in Computing Systems, CHI 2016 - San Jose, United States
Duration: 7 May 201612 May 2016

Conference

Conference34th Annual Conference on Human Factors in Computing Systems, CHI 2016
CountryUnited States
CitySan Jose
Period7/05/1612/05/16

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