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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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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 -