Tuning Out Security Warnings: A Longitudinal Examination of Habituation Through fMRI, Eye Tracking, and Field Experiments

Research in the fields of information systems and human-computer interaction has shown that habituation— decreased response to repeated stimulation—is a serious threat to the effectiveness of security warnings. Although habituation is a neurobiological phenomenon that develops over time, past studies have only examined this problem cross-sectionally. Further, past studies have not examined how habituation influences actual security warning adherence in the field. For these reasons, the full extent of the problem of habituation is unknown. We address these gaps by conducting two complementary longitudinal experiments. First, we performed an experiment collecting fMRI and eye-tracking data simultaneously to directly measure habituation to security warnings as it develops in the brain over a five-day workweek. Our results show not only a general decline of participants’ attention to warnings over time but also that attention recovers at least partially between workdays without exposure to the warnings. Further, we found that updating the appearance of a warning— that is, a polymorphic design—substantially reduced habituation of attention. Second, we performed a three-week field experiment in which users were naturally exposed to privacy permission warnings as they installed apps on their mobile devices. Consistent with our fMRI results, users’ warning adherence substantially decreased over the three weeks. However, for users who received polymorphic permission warnings, adherence dropped at a substantially lower rate and remained high after three weeks, compared to users who received standard warnings. Together, these findings provide the most complete view yet of the problem of habituation to security warnings and demonstrate that polymorphic warnings can substantially improve adherence.

[1]  R W Cox,et al.  Real‐time 3D image registration for functional MRI , 1999, Magnetic resonance in medicine.

[2]  M. Çevik Habituation, sensitization, and Pavlovian conditioning , 2014, Front. Integr. Neurosci..

[3]  Alan R. Hevner,et al.  Towards a NeuroIS Research Methodology: Intensifying the Discussion on Methods, Tools, and Measurement , 2014, J. Assoc. Inf. Syst..

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

[5]  Angelika Dimoka,et al.  How to Conduct a Functional Magnetic Resonance (fMRI) Study in Social Science Research , 2012, MIS Q..

[6]  Bonnie Brinton Anderson,et al.  Your memory is working against you: How eye tracking and memory explain habituation to security warnings , 2016, Decis. Support Syst..

[7]  N. Logothetis,et al.  Neurophysiology of the BOLD fMRI Signal in Awake Monkeys , 2008, Current Biology.

[8]  René Riedl,et al.  Application Strategies for Neuroscience in Information Systems Design Science Research , 2013, J. Comput. Inf. Syst..

[9]  Deborah E. Hannula,et al.  Worth a Glance: Using Eye Movements to Investigate the Cognitive Neuroscience of Memory , 2010, Front. Hum. Neurosci..

[10]  E. Valentini,et al.  The Role of Perceptual Expectation on Repetition Suppression: A Quest to Dissect the Differential Contribution of Probability of Occurrence and Event Predictability , 2011, Front. Hum. Neurosci..

[11]  D. Shore,et al.  More efficient scanning for familiar faces. , 2008, Journal of vision.

[12]  E. N. Sokolov Higher nervous functions; the orienting reflex. , 1963, Annual review of physiology.

[13]  Angelika Dimoka,et al.  On the Use of Neuropyhsiological Tools in IS Research: Developing a Research Agenda for NeuroIS , 2012, MIS Q..

[14]  Donald A. Wilson,et al.  Habituation mechanisms and their importance for cognitive function , 2015, Front. Integr. Neurosci..

[15]  Donald A. Wilson,et al.  Habituation revisited: An updated and revised description of the behavioral characteristics of habituation , 2009, Neurobiology of Learning and Memory.

[16]  Tom Brier,et al.  Communications of the Association for Information Systems , 1999 .

[17]  Yuanzhen Li,et al.  Measuring visual clutter. , 2007, Journal of vision.

[18]  Mani Ramaswami,et al.  Network Plasticity in Adaptive Filtering and Behavioral Habituation , 2014, Neuron.

[19]  Fred D. Davis,et al.  ON THE USE OF NEUROPHYSIOLOGICAL TOOLS IN IS RESEARCH : DEVELOPING A RESEARCH AGENDA FOR NEUROIS 1 , 2012 .

[20]  P. Groves,et al.  Habituation: a dual-process theory. , 1970, Psychological review.

[21]  Colin Hawco,et al.  Overlapping patterns of neural activity for different forms of novelty in fMRI , 2014, Front. Hum. Neurosci..

[22]  Rishma Vidyasagar,et al.  A multimodal brain imaging study of repetition suppression in the human visual cortex , 2010, NeuroImage.

[23]  Jack L. Lancaster,et al.  Clustered pixels analysis for functional MRI activation studies of the human brain , 1995 .

[24]  Jarmo A. Hämäläinen,et al.  Repetition suppression comprises both attention-independent and attention-dependent processes , 2014, NeuroImage.

[25]  Alex Martin,et al.  Long-lasting cortical plasticity in the object naming system , 2000, Nature Neuroscience.

[26]  Marilynn B. Brewer,et al.  Principles and Methods of Social Research , 1986 .

[27]  G. Christoffersen,et al.  Habituation: Events in the history of its characterization and linkage to synaptic depression. A new proposed kinetic criterion for its identification , 1997, Progress in Neurobiology.

[28]  Jim M. Monti,et al.  Neural repetition suppression reflects fulfilled perceptual expectations , 2008, Nature Neuroscience.

[29]  B. Verplanken,et al.  Reflections on past behavior: A self-report index of habit strength , 2003 .

[30]  Catharine H. Rankin,et al.  Introduction to special issue of neurobiology of learning and memory on habituation , 2009, Neurobiology of Learning and Memory.

[31]  Vanessa M. Johnen,et al.  Human Scalp Electroencephalography Reveals that Repetition Suppression Varies with Expectation , 2011, Front. Hum. Neurosci..

[32]  René Riedl,et al.  Fundamentals of NeuroIS , 2016, Studies in Neuroscience, Psychology and Behavioral Economics.

[33]  K. Grill-Spector,et al.  Repetition and the brain: neural models of stimulus-specific effects , 2006, Trends in Cognitive Sciences.

[34]  J. Colombo,et al.  Infant visual habituation , 2009, Neurobiology of Learning and Memory.

[35]  B. Verplanken,et al.  Habit, attitude, and planned behaviour : is habit an empty construct or an interesting case of goal-directed automaticity? , 1999 .

[36]  Benjamin O Turner,et al.  Number of events and reliability in fMRI , 2013, Cognitive, Affective, & Behavioral Neuroscience.

[37]  Angelika Dimoka,et al.  Research Commentary - NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research , 2011, Inf. Syst. Res..

[38]  N. Cohen,et al.  Amnesia is a Deficit in Relational Memory , 2000, Psychological science.

[39]  A. Todorović,et al.  Repetition Suppression and Expectation Suppression Are Dissociable in Time in Early Auditory Evoked Fields , 2012, The Journal of Neuroscience.

[40]  Martin Kronbichler,et al.  Neural repetition suppression: evidence for perceptual expectation in object-selective regions , 2014, Front. Hum. Neurosci..

[41]  E T Bullmore,et al.  Society for Neuroscience Abstract Viewer and Itinerary Planner , 2002 .