Robot-assisted language assessment: development and evaluation of feasibility and usability

Author:

Seok Sukyung,Choi Sujin,Kim Kimun,Choi Jongsuk,Sung Jee Eun,Lim YoonseobORCID

Abstract

AbstractMany studies have shown that robots can provide medical help to patients, such as supporting physical movements, managing mood, or simulating cognitive function. However, robotic cognitive/language assessment, which is vital for mental health care, has not been fully explored and is limited to only a few types of assessment. The aim of this study is to present and evaluate a social robot equipped with a web-based language assessment for sentence comprehension test (SCT) with a dialogue system involving yes/no questions. A total of 50 participants took the test with 36 items conducted by a robot (robot-SCT), while a total of 55 participants took the same test but conducted by a human examiner (human-SCT). Comparative analyses were performed to evaluate the validity of the robot-SCT in terms of test scores and time-related measures. Usability was evaluated through the system usability score and interview feedback. With regard to the validity of the robot-SCT, the test scores indicated no significant differences between the robot-SCT and human-SCT. In addition, conditional differences in reaction time for the test items were observed, similar to the previous paper-and-pencil researches. The high system usability scores (i.e., mean = 78.5, SD = 11) demonstrated the high usability of the robot-SCT. This study demonstrates the validity and usability of robotic language assessment among normal adults. However, further evaluation is required for people with dementia or mild cognitive impairment.

Funder

Technology Innovation Program

National Research Council of Science and Technology

Government-wide R&D Fund for Infections Disease Research

National Research Foundation of Korea(NRF) grant

Basic Science Research Program through the National Research Foundation of Kore

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Mechanical Engineering,Engineering (miscellaneous),Computational Mechanics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3