Do you really feel happy? Some implications of Voice Emotion Response in Mandarin Chinese
Wan-Chen Wang (),
Charles Chien () and
Luiz Moutinho ()
Marketing Letters, 2015, vol. 26, issue 3, 409 pages
Abstract:
Self-reported measures are widely used to measure consumers’ emotional responses to advertising stimuli or consumption-related experiences, and are a consistently popular method for practitioners and researchers. There is, however, a problem known as “cognitive bias” which often arises from self-reported measures. Consequently, several researchers highlight the demand for the measurement of emotion to go beyond self-reported measures, and call for collaboration with other research fields to advance consumer behavior research in the study of emotion. This research collaborates with researchers in the field of human-computer interaction and suggests an alternative method: the Voice Emotion Response in Mandarin Chinese, which is one of the most widely spoken languages in the world. The findings show that the Voice Emotion Response, as compared to self-report, is more strongly related to recall. Preliminary outcomes reveal that this approach can potentially enhance the effectiveness of measuring emotions. Copyright Springer Science+Business Media New York 2015
Keywords: Marketing research; Emotional response; Self-reported measures; Psychophysiological measures; Human-computer interaction (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11002-015-9357-y (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:mktlet:v:26:y:2015:i:3:p:391-409
Ordering information: This journal article can be ordered from
http://www.springer. ... etailsPage=societies
DOI: 10.1007/s11002-015-9357-y
Access Statistics for this article
Marketing Letters is currently edited by Joel Steckel and Peter Golder
More articles in Marketing Letters from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().