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 Paper › Research › peer-review

17 Citations (Scopus)

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 - San Jose, CA, USA May 7 - 12
Subtitle of host publication	Proceedings - The 34th Annual CHI Conference on Human Factors in Computing Systems
Editors	Cliff Lampe
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	4464-4476
Number of pages	13
ISBN (Electronic)	9781450333627
DOIs	https://doi.org/10.1145/2858036.2858321
Publication status	Published - 2016
Externally published	Yes
Event	International Conference on Human Factors in Computing Systems 2016 - San Jose, United States of America Duration: 7 May 2016 → 12 May 2016 Conference number: 34th https://chi2016.acm.org/wp/ (Website) https://dl.acm.org/doi/proceedings/10.1145/2851581 (Proceedings)

Conference

Conference	International Conference on Human Factors in Computing Systems 2016
Abbreviated title	CHI 2016
Country/Territory	United States of America
City	San Jose
Period	7/05/16 → 12/05/16
Other
Internet address	https://chi2016.acm.org/wp/ (Website) https://dl.acm.org/doi/proceedings/10.1145/2851581 (Proceedings)

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/2858036.2858321Licence: CC BY

258152027-oaFinal published version, 1.51 MB

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 C. Lampe (Ed.), CHI 2016 - San Jose, CA, USA May 7 - 12: Proceedings - The 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 4464-4476). Association for Computing Machinery (ACM). https://doi.org/10.1145/2858036.2858321

McNaney, Róisín ; Othman, Mohammad ; Richardson, Dan et al. / Speeching : mobile crowdsourced speech assessment to support self-monitoring and management for people with Parkinson's. CHI 2016 - San Jose, CA, USA May 7 - 12: Proceedings - The 34th Annual CHI Conference on Human Factors in Computing Systems. editor / Cliff Lampe. New York NY USA : Association for Computing Machinery (ACM), 2016. pp. 4464-4476

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

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.",

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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 C Lampe (ed.), CHI 2016 - San Jose, CA, USA May 7 - 12: Proceedings - The 34th Annual CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), New York NY USA , pp. 4464-4476, International Conference on Human Factors in Computing Systems 2016, San Jose, California, United States of America, 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 - San Jose, CA, USA May 7 - 12: Proceedings - The 34th Annual CHI Conference on Human Factors in Computing Systems. ed. / Cliff Lampe. New York NY USA : Association for Computing Machinery (ACM), 2016. p. 4464-4476.

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

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AU - McNaney, Róisín

AU - Othman, Mohammad

AU - Richardson, Dan

AU - Dunphy, Paul

AU - Amaral, Telmo

AU - Miller, Nick

AU - Stringer, Helen

AU - Olivier, Patrick

AU - Vines, John

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N2 - 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.

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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ER -

McNaney R, Othman M, Richardson D, Dunphy P, Amaral T, Miller N et al. Speeching: mobile crowdsourced speech assessment to support self-monitoring and management for people with Parkinson's. In Lampe C, editor, CHI 2016 - San Jose, CA, USA May 7 - 12: Proceedings - The 34th Annual CHI Conference on Human Factors in Computing Systems. New York NY USA : Association for Computing Machinery (ACM). 2016. p. 4464-4476 doi: 10.1145/2858036.2858321

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

Abstract

Conference

Keywords

UN SDGs

Access to Document

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