具微表情之機器人在情境學習下對餐旅教育的影響;The impacts of a robot with miro expressions under situational learning on hospitality education

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题名:	具微表情之機器人在情境學習下對餐旅教育的影響;The impacts of a robot with miro expressions under situational learning on hospitality education
作者:	陳奕昕;Chen, Yi-Xin
贡献者:	資訊工程學系
关键词:	情境學習;數位學習劇場;情緒互動;微表情;社交機器人;人機互動;Situated learning;Digital learning theater;Emotional interaction;Micro expression;Social robot;Human-robot interaction
日期:	2021-08-27
上传时间:	2021-12-07 13:11:55 (UTC+8)
出版者:	國立中央大學
摘要:	利用情境學習進行餐旅教育已成為現在的趨勢。餐旅學習需要理論與實踐互相配合，使得學生在理解理論的同時，也要能夠在實際的工作場所中，利用他們所學去服務顧客。過去研究指出在服務過程中，服務人員的情緒互動能力往往會是成功的關鍵。例如客人對於服務不滿時，大部分的人並不會進行投訴或表達出來，只是默默離開。但是，客人可能在掩飾不滿時流露出微表情，因此學習判讀客人的微表情並即時做出改進對服務人員非常重要。然而，演出微表情對非專業演員的學生而言非常困難，因此難以利用情境學習。因此，本研究提出一個具備微表情展示系統的機器人，使其能夠綁定虛擬情境學習系統，讓學生與此微表情機器人一起在虛擬情境中互動，並學習觀察微表情以及做出情境回應。本研究之有效研究對象共60人，皆為餐旅系大學生。實驗後發現，利用微表情機器人配合情境學習的組別，對於微表情判讀能力以及情境回應能力皆有顯著提升。;Using situated learning on hospitality training is becoming a common situation. Hospitality training should combine theories and practice, so students can learn the theories while realize them by serving customers. Researches has point out that the emotional interaction ability is the key to successful for service staff. For example, when customers feel dissatisfaction, most of them will not show their emotions or complain about it, just leaving quietly. But, when customers try to count down and cover their true emotion, a leakage of emotion called micro-expression will still appear on their faces, so learn to read micro-expressions and how to reply to these emotions are very important to staffs. Therefore, this research offered a robot with micro-expressions display system, this robot can connect to digital learning platform, then students can learn how to recognize micro-expressions and give feedbacks by interact with this micro-expression robot under the digital situated learning environment. The number of effect participants is 60, all of them are college students majored in hospitality. In conclusion, the learning outcome of students learning by using robot with micro-expressions under digital situated learning environment are significantly better than control group.
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