The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
Current and potential methods for measuring emotion in tourism experiences: a review
Abstract
This study provides an assessment of methods used in existing tourism research to measure emotion and discusses the potential for use of psychophysiological methods such as electro-dermal analysis, facial muscle activity, heart rate response, eye-tracking system and vascular measures. Psychophysiological measurement techniques have been reported in the marketing, advertising and media literature; however, to the best knowledge of the authors, no studies are reported in the tourism literature. Instead, studies of emotion in the tourism literature invariably employ self-report questionnaire methods which capture only tourists' high-order emotions and are subject to a variety of forms of bias. Unconscious emotional responses that can provide unbiased portrayal of individuals' initial emotional reactions when exposed to a stimulus have been largely ignored. The paper concludes that studies combining both self-report and psychophysiological measures are needed and areas for future research are discussed.
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Cites
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334 · cited 5×
“P-A-D uses the three dimensions of pleasure-displeasure, arousal-non-arousal and dominance-submissiveness and is used to measure feelings, moods and other related concepts (Russell, 1980).”
Influential(2025) · doi:10.53555/acr.v2i2 · Cited by 13,264
Lazarus, R. S. (1991) · doi:10.1093/oso/9780195069945.001.0001 · Cited by 12,691
(1974) · Medical Entomology and Zoology · Cited by 7,295
The Role of Emotions in Marketing
Bagozzi, R. P., Gopinath, M., & Nyer, P. U. (1999) · Journal of the Academy of Marketing Science · doi:10.1177/0092070399272005 · Cited by 3,349
Looking at pictures: Affective, facial, visceral, and behavioral reactions
LANG, P. J., GREENWALD, M. K., BRADLEY, M. M., & HAMM, A. O. (1993) · Psychophysiology · doi:10.1111/j.1469-8986.1993.tb03352.x · Cited by 3,190
Crawford, J. R., & Henry, J. D. (2004) · British Journal of Clinical Psychology · doi:10.1348/0144665031752934 · Cited by 2,957 · cited 1×
“Either positive or negative emotions are further categorized into high and low activation levels (Crawford & Henry, 2004).”
Izard, C. E. (1977) · doi:10.1007/978-1-4899-2209-0 · Cited by 2,825
The emotion probe: Studies of motivation and attention.
Lang, P. J. (1995) · American Psychologist · doi:10.1037//0003-066x.50.5.372 · Cited by 2,746
Cited by
Prayag, G., Hosany, S., Muskat, B., & Del Chiappa, G. (2017) · Journal of Travel Research · doi:10.1177/0047287515620567 · Cited by 924
Lim, W. M., Yap, S.-F., & Makkar, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.08.051 · Cited by 533
Customer experience in tourism: A review of definitions, components, and measurements
Godovykh, M., & Tasci, A. D. A. (2020) · Tourism Management Perspectives · doi:10.1016/j.tmp.2020.100694 · Cited by 359
The Experience of Novelty and the Novelty of Experience
Skavronskaya, L., Moyle, B., & Scott, N. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00322 · Cited by 103
“Analysis of existing studies revealed quantitative methods, often using experimental approaches, dominated conceptually related studies in psychology and tourism (Li et al., 2015; Veal, 2017; Weiler et al., 2018).”
MethodSelf-citation
Metadata
- Authors
- Li, S., Scott, N., & Walters, G.
- Venue
- Current Issues in Tourism
- Publisher
- Informa UK Limited
- Published
- 2014-11-05
- Volume
- 18
- Issue
- 9
- Pages
- 805-827
- ISSN
- 1368-3500 (ISSN-L)
- 1747-7603
- OpenAlex
- W1995155855
- Cited by
- 266
- References
- 126
- FWCI
- 25.94
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
