Stathakarou Natalia, Nifakos Sokratis, Karlgren Klas, Konstantinidis Stathis T, Bamidis Panagiotis D, Pattichis Constantinos S, Davoody Nadia
Karolinska Institutet, Dept. of Learning, Management and Ethics, Sweden.
University of Nottingham, School of Health Sciences, UK.
Stud Health Technol Inform. 2020 Jun 26;272:209-212. doi: 10.3233/SHTI200531.
Chatbots may have the potential to support healthcare education by enabling personalized learning. Trust is a pre-requisite for the users to accept the chatbots. In this study we analyzed students' assignments of the MSc course "User Needs, Requirements Engineering and Evaluation" at Karolinska Institutet, aiming to explore the chatbots' potential in healthcare education and the design characteristics of chatbots that may enhance the trust. The students identified two courses: pharmacology and medical law, that have the potential to leverage chatbots' characteristics. Our analyses on the design characteristics they suggested resulted in: recognition; visibility of system status; anthropomorphism in communication; knowledge expertise, linguistic consistency; realistic interaction. Our results are in line with previous research. Future studies could investigate the educational impact on the learning outcomes and students' satisfaction when interacting with chatbots.
聊天机器人可能有潜力通过实现个性化学习来支持医疗保健教育。信任是用户接受聊天机器人的先决条件。在本研究中,我们分析了卡罗林斯卡学院“用户需求、需求工程与评估”理学硕士课程学生的作业,旨在探索聊天机器人在医疗保健教育中的潜力以及可能增强信任的聊天机器人设计特征。学生们确定了两门课程:药理学和医学法律,它们有潜力利用聊天机器人的特性。我们对他们建议的设计特征进行分析后得出:识别;系统状态的可见性;交流中的拟人化;知识专业性、语言一致性;现实交互。我们的结果与之前的研究一致。未来的研究可以调查与聊天机器人交互时对学习成果和学生满意度的教育影响。