Emotion Is not What You Think It Is: Startle Reflex Modulation (SRM) as a Measure of Affective Processing in NeuroIS

Peter Walla () and Monika Koller ()
Additional contact information
Peter Walla: Webster Vienna Private University
Monika Koller: Vienna University of Economics and Business

A chapter in Information Systems and Neuroscience, 2015, pp 181-186 from Springer

Abstract: Abstract Emotion is a widely used term in various different fields. The problem is that across and even within those fields scholars are not sharing a common understanding of it. This strongly counterproductive situation hinders ongoing progress and might even lead to false understandings. This conceptual paper offers a solution and also introduces a method called startle reflex modulation (SRM). It has been described since the late 80s in the human literature and is widely used in emotion research to measure raw affective responses. Meanwhile, besides in the frame of basic science studies it has also been applied to clinical and most recently even industry-relevant topics. It is suggested that SRM does indeed represent a highly valuable new approach to quantify affective processing in the context of NeuroIS (e.g. technology acceptance). Often, self-reported affect differs from objectively measured affect.

Keywords: Affective processing; Emotion; Startle reflex modulation; Non-conscious; Attitude; NeuroIS (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:lnichp:978-3-319-18702-0_24

Ordering information: This item can be ordered from
http://www.springer.com/9783319187020

DOI: 10.1007/978-3-319-18702-0_24

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().