AAC应用程序设计和可用性评估性能指标的发展

IF 0.4 Q4 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Kyungrang Baik, Kyungyang Kim, Eunhye Park, Young Tae Kim
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引用次数: 0

摘要

随着科学技术的进步,各种辅助和替代通信(AAC)应用程序(app)已经开发出来。AAC用户需要符合他们个人特点和需求的AAC系统。AAC性能指标包括可用性评估,旨在衡量沟通的有效性和满意度。这些指标可以用来帮助空调用户选择合适的空调系统。本研究的目的是制定性能指标,使AAC用户和利益相关者能够从多个角度评估AAC应用程序。方法:分析前人研究的移动应用和可用性评价,提取关键词。在此基础上制定了绩效指标项目。对专家效度进行评估,并对AAC用户和利益相关者进行调查,以调整纳入的项目数量并测量效度和信度。结果:绩效指标项目开发的前期研究分析以词云的形式可视化。AAC应用程序性能指标的可靠性评估的Cronbach 's α值为0.9或更高。在内容效度方面,专家效度的S-CVI为0.978,而对AAC用户和利益相关者的调查结果为0.754。探索性因子分析用于评估结构效度,结果显示所有变量的共性值均为0.4或更高。这些项目被分为五个因素:可用性、社会沟通、以用户为中心的设计、采用和授权。结论:AAC应用性能指标应以用户为中心,结合多种视角,评估应用使用的各个方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Performance Indicators for AAC Application Design and Usability Evaluation
Objectives: With advancements in scientific and technological progress, various Augmentative and Alternative Communication (AAC) applications (apps) have been developed. AAC users require AAC systems that align with their personal characteristics and needs. AAC performance indicators, which encompass usability evaluation, aim to measure communication effectiveness and satisfaction. These indicators can be utilized to assist AAC users in selecting appropriate AAC systems. The goal of this study was to develop performance indicators that would allow AAC users and stakeholders to evaluate AAC apps from multiple perspectives. Methods: Mobile apps and usability evaluations in prior studies were analyzed to extract keywords. Performance indicator items were developed based on this analysis. Expert validity was evaluated, and a survey of AAC users and stakeholders was done to adjust the number of items included and measure validity and reliability. Results: The analysis of prior studies for the development of performance indicator items was visualized in the form of a word cloud. The reliability assessment of AAC app performance indicators yielded a Cronbach’s α value of 0.9 or higher. Regarding content validity, the expert validity showed an S-CVI of 0.978, while the survey with AAC users and stakeholders resulted in 0.754. Exploratory factor analysis was performed to assess construct validity, revealing that all variables demonstrated a communalities value of 0.4 or higher. The items were categorized into five factors: usability, social communication, user-centered design, adoption, and empowerment. Conclusion: AAC app performance indicators should be user-centered, incorporating diverse perspectives and evaluating various aspects of app usage.
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来源期刊
Communication Sciences and Disorders-CSD
Communication Sciences and Disorders-CSD AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-
CiteScore
0.90
自引率
80.00%
发文量
0
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