Psychophysiological Measures of Cognitive Absorption

Cognitive absorption (CA) corresponds to a state of deep involvement with a software program. CA has widely been studied over the last decade in the IT literature using psychometric instruments. Measuring ongoing CA with psychometric tools requires interrupting a subject’s ongoing usage behavior to self-evaluate their level of absorption. Such interruptions may alter or contaminate the very CA state the researcher us attempting to measure. To circumvent this problem, we are investigating the effectiveness of psychophysiological measures of cognitive absorption. This paper reports preliminary results from an ongoing research project by looking at the correlation between electrodermal activity (EDA) and several dimensions of the CA construct.

[1]  J. Cacioppo,et al.  Handbook Of Psychophysiology , 2019 .

[2]  C. Saunders,et al.  “Is It Already 4 a.m. in Your Time Zone?” , 2007 .

[3]  Massimo Magni,et al.  'To play or not to play': A cross-temporal investigation using hedonic and instrumental perspectives to explain user intentions to explore a technology , 2010, Int. J. Hum. Comput. Stud..

[4]  A. Tellegen,et al.  Openness to absorbing and self-altering experiences ("absorption"), a trait related to hypnotic susceptibility. , 1974, Journal of abnormal psychology.

[5]  Angelika Dimoka,et al.  On the Foundations of NeuroIS: Reflections on the Gmunden Retreat 2009 , 2010, Commun. Assoc. Inf. Syst..

[6]  Raafat George Saadé,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model , 2005, Inf. Manag..

[7]  Lennart E. Nacke,et al.  Log Who's Playing: Psychophysiological Game Analysis Made Easy through Event Logging , 2008, Fun and Games.

[8]  Georgios N. Yannakakis,et al.  Correlation between heart rate, electrodermal activity and player experience in first-person shooter games , 2010, Sandbox '10.

[9]  Lennart E. Nacke,et al.  Affective Ludology: Scientific Measurement of User Experience in Interactive Entertainment , 2009 .

[10]  Jonas K. Olofsson,et al.  Affective picture processing: An integrative review of ERP findings , 2008, Biological Psychology.

[11]  Regan L. Mandryk,et al.  A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies , 2007, Int. J. Hum. Comput. Stud..

[12]  Fred D. Davis,et al.  NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research , 2008, ICIS.

[13]  Georgios N. Yannakakis,et al.  Entertainment capture through heart rate activity in physical interactive playgrounds , 2008, User Modeling and User-Adapted Interaction.

[14]  Yu-Chen Chen,et al.  Extrinsic versus intrinsic motivations for consumers to shop on-line , 2005, Inf. Manag..

[15]  Regan L. Mandryk,et al.  A continuous and objective evaluation of emotional experience with interactive play environments , 2006, CHI.

[16]  W. Boucsein Electrodermal activity, 2nd ed. , 2012 .

[17]  Angelika Dimoka,et al.  THE POTENTIAL OF COGNITIVE NEUROSCIENCE FOR INFORMATION SYSTEMS RESEARCH , 2008 .

[18]  Jane Webster,et al.  Audience engagement in multimedia presentations , 1997, DATB.

[19]  P. Lang The emotion probe. Studies of motivation and attention. , 1995, The American psychologist.

[20]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[21]  Hsiu-Fen Lin,et al.  Examination of cognitive absorption influencing the intention to use a virtual community , 2009, Behav. Inf. Technol..

[22]  Judy E. Scott,et al.  Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance , 2009, Inf. Manag..