4.5 Article

Emotions as core building blocks of an experience

出版社

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/IJCHM-11-2017-0761

关键词

Research methods; Emotions; Experience design; Biometric methods; Experience research; Neuroscientific methods

向作者/读者索取更多资源

Purpose This paper aims to stimulate the discussion in the fields of hospitality, tourism and leisure on what exactly constitutes an experience and how to measure it; the authors unpack the experience construct into its core constituent elements, namely, emotions. Design/methodology/approach The paper reviews insights from psychology and cognitive neuroscience that define experiences as a fine-grained temporal succession of emotions that occur during an experiential episode. Limitations of current methods for measuring experiences are discussed, after which biometric and neuroscientific methods are reviewed that are optimally geared toward measuring emotions, as they occur during an experience with fine temporal detail. Findings An overview is presented of the available studies within the fields of hospitality, tourism and leisure that use these methodologies. These studies show that using these methodologies provides a fruitful methodological approach to measuring experiences in real time. Practical implications - Companies are constantly seeking to create memorable experiences for their customers. The proposed research methodologies allow companies to get a more fine-grained image of what impacts customers over the course of their experience and to actively integrate the use of emotions into creating experiences, as emotions are key to making them memorable. Originality/value - The paper sketches the contours of a rapidly emerging framework that unpacks memorable experiences into their constituent element - emotions. It is proposed that this will contribute to a deeper understanding of how consumers experience offerings in the hospitality, tourism and leisure industry.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据