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Chao-Cheng Lin,Zaine Akuhata-Huntington,Che-Wei Hsu 한국보건의료인국가시험원 2023 보건의료교육평가 Vol.20 No.-
Learning about one’s implicit bias is crucial for improving one’s cultural competency and thereby reducing health inequity. To evaluate bias among medical students following a previously developed cultural training program targeting New Zealand Māori, we developed a text-based, self-evaluation tool called the Similarity Rating Test (SRT). The development process of the SRT was resource-intensive, limiting its generalizability and applicability. Here, we explored the potential of ChatGPT, an automated chatbot, to assist in the development process of the SRT by comparing ChatGPT’s and students’ evaluations of the SRT. Despite results showing non-significant equivalence and difference between ChatGPT’s and students’ ratings, ChatGPT’s ratings were more consistent than students’ ratings. The consistency rate was higher for non-stereotypical than for stereotypical statements, regardless of rater type. Further studies are warranted to validate ChatGPT’s potential for assisting in SRT development for implementation in medical education and evaluation of ethnic stereotypes and related topics.
Yueh-Ling HSU,Chao-Che HSU,Pei-Chi BING 인하대학교 정석물류통상연구원 2007 인하대학교 정석물류통상연구원 학술대회 Vol.2007 No.3
This paper presents how airline passenger service requirements can be analyzed by using Kano’s model of quality element classification as well as discusses the potential benefits that can be achieved by applying this approach to make marketing strategy planning. According to Kano’s model, quality elements can be classified into three categories, namely Must-be, One-dimensional and Attractive needs, depending on their ability to create customer satisfaction or dissatisfaction. Results of this study suggest that airline passenger service elements could be classified analogously with Kano’s model to identify the most important passenger service elements. Impacts of the service elements features on passenger satisfaction or dissatisfaction have been also calculated as measurement indices for improvement.