Rethinking self-reported measure in subjective evaluation of assistive technology

被引:4
|
作者
Hossain, Gahangir [1 ]
机构
[1] Texas A&M Univ Kingsville, Elect Engn & Comp Sci, Kingsville, TX 78363 USA
基金
美国国家科学基金会;
关键词
Disabilities; Assistive technology; Subjective rating bias; Technology assessment; Hybridization; Kano analysis; QUALITY-OF-LIFE; CHILDREN; SCALES; ALPHA; BIAS;
D O I
10.1186/s13673-017-0104-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Self-reporting is used as a subjective measure of usability study of technology solutions. In assistive technology research, more than often the 'a coordinator' directly assist the 'subject' in the scoring process. This makes the rating process slower and also introduces bias, such as, 'Forer effect' and/or 'Hawthorne' effect. To address these issues we propose to use technology mediated interaction between the 'subject' and 'the coordinator' in evaluating assistive technology solutions. The goal is to combine both the qualitative and quantitative scores to create a relatively unbiased rating system. Empirical studies were performed on two different datasets in order to illustrate the utility of the proposed approach. It was observed that, the proposed hybrid rating is relatively unbiased for usability study.
引用
收藏
页数:18
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