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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Speeching : mobile crowdsourced speech assessment to support self-monitoring and management for people with Parkinson's. / McNaney, Roisin; Othman, Mohammad; Richardson, Dan; Dunphy, Paul; Amaral, Telmo; Miller, Nick; Stringer, Helen; Olivier, Patrick; Vines, John.

CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. New York : ACM, 2016. p. 4464-4476.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

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 '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, New York, pp. 4464-4476, 34th Annual CHI Conference on Human Factors in Computing Systems (CHI4GOOD), San Jose, Canada, 7/05/16. https://doi.org/10.1145/2858036.2858321

APA

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 '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 4464-4476). ACM. https://doi.org/10.1145/2858036.2858321

Vancouver

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 CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. New York: ACM. 2016. p. 4464-4476 https://doi.org/10.1145/2858036.2858321

Author

McNaney, Roisin ; Othman, Mohammad ; Richardson, Dan ; Dunphy, Paul ; Amaral, Telmo ; Miller, Nick ; Stringer, Helen ; Olivier, Patrick ; Vines, John. / Speeching : mobile crowdsourced speech assessment to support self-monitoring and management for people with Parkinson's. CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. New York : ACM, 2016. pp. 4464-4476

Bibtex

@inproceedings{59a12a61af484a608d9cdcf33eaa962e,
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 self-monitoring 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.",
keywords = "Crowdsourcing, Healthcare, Self-monitoring and Management, Speech and Language Therapy, Parkinson's, LANGUAGE THERAPY PROVISION, VOICE TREATMENT, DISEASE, ONLINE, INTELLIGIBILITY, HEALTH, DYSARTHRIA, COMMUNICATION, PERSPECTIVES, INDIVIDUALS",
author = "Roisin McNaney and Mohammad Othman and Dan Richardson and Paul Dunphy and Telmo Amaral and Nick Miller and Helen Stringer and Patrick Olivier and John Vines",
year = "2016",
month = may,
doi = "10.1145/2858036.2858321",
language = "English",
isbn = "9781450333627",
pages = "4464--4476",
booktitle = "CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems",
publisher = "ACM",
note = "34th Annual CHI Conference on Human Factors in Computing Systems (CHI4GOOD) ; Conference date: 07-05-2016 Through 12-05-2016",

}

RIS

TY - GEN

T1 - Speeching

T2 - 34th Annual CHI Conference on Human Factors in Computing Systems (CHI4GOOD)

AU - McNaney, Roisin

AU - Othman, Mohammad

AU - Richardson, Dan

AU - Dunphy, Paul

AU - Amaral, Telmo

AU - Miller, Nick

AU - Stringer, Helen

AU - Olivier, Patrick

AU - Vines, John

PY - 2016/5

Y1 - 2016/5

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 self-monitoring 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 self-monitoring 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.

KW - Crowdsourcing

KW - Healthcare

KW - Self-monitoring and Management

KW - Speech and Language Therapy

KW - Parkinson's

KW - LANGUAGE THERAPY PROVISION

KW - VOICE TREATMENT

KW - DISEASE

KW - ONLINE

KW - INTELLIGIBILITY

KW - HEALTH

KW - DYSARTHRIA

KW - COMMUNICATION

KW - PERSPECTIVES

KW - INDIVIDUALS

U2 - 10.1145/2858036.2858321

DO - 10.1145/2858036.2858321

M3 - Conference contribution/Paper

SN - 9781450333627

SP - 4464

EP - 4476

BT - CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

Y2 - 7 May 2016 through 12 May 2016

ER -