Literature DB >> 33754323

Contactless differentiation of pleasant and unpleasant valence: Assessment of the acoustic startle eyeblink response with infrared reflectance oculography.

Mark E Hartman1, Matthew A Ladwig2, Panteleimon Ekkekakis3.   

Abstract

The ability to distinguish between discrete emotions by monitoring autonomic or facial features has been an elusive "holy grail" for fields such as psychophysiology, affective computing, and human-computer interface design. However, cross-validated models are lacking, and contemporary theory suggests that emotions may lack distinct physiological or facial "signatures." Therefore, in this study, we propose a reorientation toward distinguishing between pleasant and unpleasant affective valence. We focus on the acoustic eyeblink response, which exhibits affective modulation but remains underutilized. The movement of the eyelid was monitored in a contactless manner via infrared reflectance oculography at 1 kHz while 36 participants viewed normatively pleasant, neutral, and unpleasant images, and 50-ms bursts of white noise were presented binaurally via headphones. Startle responses while viewing pleasant images exhibited significantly smaller amplitudes than those while viewing unpleasant images, with a large effect size (d = 1.56). The affective modulation of the eyeblink startle response is a robust phenomenon that can be assessed in a contactless manner. As research continues on whether systems based on psychophysiological or facial features can distinguish between discrete emotions, the eyeblink startle response offers a relatively simple way to distinguish between pleasant and unpleasant affective valence.

Entities:  

Keywords:  Affective computing; Constructionism; Electromyography; Response specificity

Year:  2021        PMID: 33754323     DOI: 10.3758/s13428-021-01555-z

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  83 in total

1.  The physiological differentiation between fear and anger in humans.

Authors:  A F AX
Journal:  Psychosom Med       Date:  1953 Sep-Oct       Impact factor: 4.312

2.  Brain activity underlying emotional valence and arousal: a response-related fMRI study.

Authors:  Silke Anders; Martin Lotze; Michael Erb; Wolfgang Grodd; Niels Birbaumer
Journal:  Hum Brain Mapp       Date:  2004-12       Impact factor: 5.038

3.  Effects of picture content and intensity on affective physiological response.

Authors:  Edward Bernat; Christopher J Patrick; Stephen D Benning; Auke Tellegen
Journal:  Psychophysiology       Date:  2006-01       Impact factor: 4.016

4.  The human amygdala is sensitive to the valence of pictures and sounds irrespective of arousal: an fMRI study.

Authors:  Silke Anders; Falk Eippert; Nikolaus Weiskopf; Ralf Veit
Journal:  Soc Cogn Affect Neurosci       Date:  2008-08-12       Impact factor: 3.436

Review 5.  Affective valence in the brain: modules or modes?

Authors:  Kent C Berridge
Journal:  Nat Rev Neurosci       Date:  2019-04       Impact factor: 34.870

Review 6.  Committee report: Guidelines for human startle eyeblink electromyographic studies.

Authors:  Terry D Blumenthal; Bruce N Cuthbert; Diane L Filion; Steven Hackley; Ottmar V Lipp; Anton van Boxtel
Journal:  Psychophysiology       Date:  2005-01       Impact factor: 4.016

7.  Eyelid contour detection and tracking for startle research related eye-blink measurements from high-speed video records.

Authors:  Florian Bernard; Christian Eric Deuter; Peter Gemmar; Hartmut Schachinger
Journal:  Comput Methods Programs Biomed       Date:  2013-07-21       Impact factor: 5.428

8.  Salience of fear/threat in the affective modulation of the human startle blink.

Authors:  M T Balaban; H N Taussig
Journal:  Biol Psychol       Date:  1994-10       Impact factor: 3.251

9.  Moment-to-moment tracking of state value in the amygdala.

Authors:  Marina A Belova; Joseph J Paton; C Daniel Salzman
Journal:  J Neurosci       Date:  2008-10-01       Impact factor: 6.167

10.  Infrared oculography-validation of a new method to monitor startle eyeblink amplitudes during fMRI.

Authors:  Silke Anders; Nikolaus Weiskopf; Dorothee Lule; Niels Birbaumer
Journal:  Neuroimage       Date:  2004-06       Impact factor: 6.556

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