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A User-Centered Design Approach to Developing a Voice Monitoring System for Disorder Prevention
Journal article

A User-Centered Design Approach to Developing a Voice Monitoring System for Disorder Prevention

Lisa M Kopf and Jina Huh-Yoo
Journal of voice
11 Nov 2020

Abstract

Occupational voice users—Preventative Health—User-centered design—Voice disorders—Voice dosimetry
Many individuals will experience a voice disorder in their lifetime, especially occupational voice users. While a number of voice monitoring systems have been developed, most were designed with the clinician/researcher as the end user. For a patient to use these systems, they need field experts to help them interpret data from the system to understand its meaning. Most of these systems would have challenges in being used in a preventative context with the occupational voice user as the sole system user. The current study introduces a novel design approach: user-centered design (UCD) with paper prototypes in the creation of a voice monitoring system for voice disorder prevention (VDP). The goal of this design approach is to design systems that are engaging and intuitive for users so they will be interested in interacting with the system and be able to benefit from the system without the need of external support. The current study was conducted in two phases: an iterative design phase and a test phase. In the iterative design phase, 15 participants gave their opinions on the measures and feedback designs they felt would be the most beneficial to users. In the test phase, the researchers collected real voice data over multiple sessions for 18 additional participants and provided this data using the final feedback displays from the design phase. By engaging in UCD, the researchers identified key design challenges for VDP: (1) educating the user, (2) balancing contextualization and granularity, and (3) addressing disconnection between user and system goals. UCD holds promise for designing VDP systems that are both engaging and intuitive for occupational voice users.

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6 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Audiology & Speech-language Pathology
Otorhinolaryngology
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