Expectation effect of perceptual experience in sensory modality transitions: modeling with information theory

Hideyoshi Yanagisawa () and Kenji Takatsuji
Additional contact information
Hideyoshi Yanagisawa: University of Tokyo
Kenji Takatsuji: University of Tokyo

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 7, No 10, 1635-1644

Abstract: Abstract A user’s experience of a product involves a set of state transitions. For example, the state of a sensory modality may shift from vision to touch to perceive a quality of a product. Between such state transitions, users expect experiences of the subsequent states as well as experience the current state event. A discrepancy between prior expectation and posterior experience evokes emotions, such as surprise, satisfaction, and disappointment, affecting the perceived product value. A noteworthy psychological phenomenon is that expectation affects perceived experience. This phenomenon, called the expectation effect, is a key to designing the affective experience of a product. Although experimental findings of this effect exist in a variety of disciplines, general and theoretical models of the effect are largely unexplored. In this paper, we propose a theoretical model of the expectation effect using information theory and affective expectation model. We hypothesize that Shannon’s entropy of prior subjective probability distributions of posterior experience determines the occurrence of an expectation effect, and the amount of information gained after experiencing a posterior event positively relates to the intensity of the expectation effect. Furthermore, we hypothesize that the conscious awareness of expectation discrepancy discriminates the two types of expectation effect, assimilation and contrast. To verify these hypotheses, we conducted an experiment using the tactile quality of surface texture. In the experiment, we extracted the visual expectation effect on tactile roughness and analyzed the causes of the effect based on these hypotheses. The experimental results validated the proposed model.

Keywords: Expectation effect; User experience; Perceived quality; Information theory; Sensory cross-modal transitions; Surface texture (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10845-015-1096-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:joinma:v:28:y:2017:i:7:d:10.1007_s10845-015-1096-7

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10845

DOI: 10.1007/s10845-015-1096-7

Access Statistics for this article

Journal of Intelligent Manufacturing is currently edited by Andrew Kusiak

More articles in Journal of Intelligent Manufacturing from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().