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

doi:10.1145/2858036.2858321

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 proceeding › Conference contribution › peer-review

17 Citations (Scopus)

14 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 language	English
Title of host publication	CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems
Publisher	ACM
Pages	4464-4476
Number of pages	13
ISBN (Electronic)	9781450333627
DOIs	https://doi.org/10.1145/2858036.2858321
Publication status	Published - 7 May 2016
Externally published	Yes
Event	34th Annual Conference on Human Factors in Computing Systems, CHI 2016 - San Jose, United States Duration: 7 May 2016 → 12 May 2016

Conference

Conference	34th Annual Conference on Human Factors in Computing Systems, CHI 2016
Country/Territory	United States
City	San Jose
Period	7/05/16 → 12/05/16

Keywords

Crowdsourcing
Healthcare
Parkinson's
Self-monitoring and management
Speech and language therapy

Access to Document

10.1145/2858036.2858321Licence: CC BY

p4464-mcnaneyFinal published version, 1.49 MBLicence: CC BY

Cite this

McNaney, R., Othman, M., Richardson, D., Dunphy, P., Amaral, T., Miller, N., Stringer, H., Olivier, P., & Vines, J. (2016). Speeching: Mobile crowdsourced speech assessment to support self-monitoring and management for people with Parkinson's. In CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 4464-4476). ACM. https://doi.org/10.1145/2858036.2858321

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McNaney, R, Othman, M, Richardson, D, Dunphy, P, Amaral, T, Miller, N, Stringer, H, Olivier, P & Vines, J 2016, Speeching: Mobile crowdsourced speech assessment to support self-monitoring and management for people with Parkinson's. in CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems. ACM, pp. 4464-4476, 34th Annual Conference on Human Factors in Computing Systems, CHI 2016, San Jose, United States, 7/05/16. https://doi.org/10.1145/2858036.2858321

Speeching: Mobile crowdsourced speech assessment to support self-monitoring and management for people with Parkinson's. / McNaney, Róisín; Othman, Mohammad; Richardson, Dan et al.
CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems. ACM, 2016. p. 4464-4476.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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

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