Attentional Behavior of Users on the Move Towards Pervasive Advertising Media

In this chapter we analyze the attention of users on the move towards pervasive advertising media. We report the findings of two multi-sensor eye tracking studies designed to provide a better understanding of the actual attentional behavior of users on the move in different public environments. In the first study 106 participants were equipped with eye tracking technology and asked to use public transportation vehicles equipped with information and advertising screens. In a second study 16 participants were asked to stroll through a shopping street for about 15 min, and during this time different indicators for their behavior and focus of attention (eye tracking, movement and pose tracking) were captured. Motion and pose data was correlated with eye tracking data to identify typical patterns of attention. We report the results of these studies, then discuss the implications of the main findings for pervasive advertising and finally reflect on the used research methodology.

[1]  Brendan Wallace,et al.  Driver distraction by advertising: genuine risk or urban myth? , 2003 .

[2]  Jeff B. Pelz,et al.  Building a lightweight eyetracking headgear , 2004, ETRA.

[3]  Stacey F. Nagata,et al.  Multitasking and Interruptions during Mobile Web Tasks , 2003 .

[4]  Michael S. Wogalter,et al.  Alcoholic Beverage Warnings in Magazine and Television Advertisements , 1993 .

[5]  David Crundall,et al.  Attraction and distraction of attention with roadside advertisements. , 2006, Accident; analysis and prevention.

[6]  C. Eriksen,et al.  Visual attention within and around the field of focal attention: A zoom lens model , 1986, Perception & psychophysics.

[7]  Andrew T Duchowski,et al.  A breadth-first survey of eye-tracking applications , 2002, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[8]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[9]  Robert J. K. Jacob,et al.  Eye tracking in human-computer interaction and usability research : Ready to deliver the promises , 2002 .

[10]  R. Dewar,et al.  Reaction Time as an Index of Traffic Sign Perception , 1976, Human factors.

[11]  Narendra Ahuja,et al.  Appearance-based eye gaze estimation , 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

[12]  Eric T. Bradlow,et al.  Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Brand Attention and Evaluation at the Point of Purchase , 2009 .

[13]  David N. Lee,et al.  Where we look when we steer , 1994, Nature.

[14]  Stephen J. Hoch,et al.  Shelf management and space elasticity , 1994 .

[15]  J. Pelz,et al.  Oculomotor behavior and perceptual strategies in complex tasks , 2001, Vision Research.

[16]  M. Posner,et al.  Attention and the detection of signals. , 1980, Journal of experimental psychology.

[17]  Tommy Strandvall,et al.  Eye Tracking in Human-Computer Interaction and Usability Research , 2009, INTERACT.

[18]  Andrew Sears,et al.  Capturing the effects of context on human performance in mobile computing systems , 2007, Personal and Ubiquitous Computing.

[19]  Claude Ghaoui,et al.  Encyclopedia of Human Computer Interaction , 2005 .

[20]  Andrew T. Duchowski,et al.  Proceedings of the 2006 symposium on Eye tracking research & applications , 2000 .

[21]  Miguel P. Eckstein,et al.  Gaze control and memory for objects while walking in a real world environment , 2009 .

[22]  D Basacik,et al.  Investigating driver distraction: the effects of video and static advertising: a driving simulator study , 2009 .

[23]  David Shinar,et al.  Ergonomic Guidelines for Traffic Sign Design Increase Sign Comprehension , 2006, Hum. Factors.

[24]  Jason S. Babcock,et al.  Head-mounted eye-tracking of infants' natural interactions: a new method , 2010, ETRA.

[25]  E. Salas,et al.  Human Factors : The Journal of the Human Factors and Ergonomics Society , 2012 .

[26]  Qiang Ji,et al.  In the Eye of the Beholder: A Survey of Models for Eyes and Gaze , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[27]  Mary M Hayhoe,et al.  Task and context determine where you look. , 2016, Journal of vision.

[28]  Young,et al.  Driven to distraction: Determining the effects of roadside advertising on driver attention , 2008 .

[29]  D. Ballard,et al.  Eye movements in natural behavior , 2005, Trends in Cognitive Sciences.

[30]  Mark A. Neerincx,et al.  Interacting in Desktop and Mobile Context: Emotion, Trust, and Task Performance , 2003, EUSAI.

[31]  Garrett M. Johnson,et al.  Is Your Eye on the Ball ? : Eye Tracking Golfers while Putting , 2001 .

[32]  Linden J. Ball,et al.  Eye tracking in HCI and usability research. , 2006 .

[33]  O. Mimura.  [Eye movements]. , 1992, Nippon Ganka Gakkai zasshi.

[34]  Mark D. Dunlop,et al.  The Challenge of Mobile Devices for Human Computer Interaction , 2002, Personal and Ubiquitous Computing.

[35]  R. A. Schuchard,et al.  An environmental investigation of wayfinding in a nursing home , 2006, ETRA.

[36]  R. Loo.  Individual Differences and the Perception of Traffic Signs , 1978, Human factors.

[37]  Moshe Eizenman,et al.  THE IMPACT OF COGNITIVE DISTRACTION ON DRIVER VISUAL BEHAVIOUR AND VEHICLE CONTROL , 2002 .

[38]  Mary M Hayhoe,et al.  Visual memory and motor planning in a natural task. , 2003, Journal of vision.

[39]  Eva Mayr,et al.  Re-viewing the museum visitors view , 2007 .

[40]  A. Schofield,et al.  Asymmetric transfer of the dynamic motion aftereffect between first- and second-order cues and among different second-order cues. , 2007, Journal of vision.

[41]  Jan O. Borchers,et al.  Overcoming Assumptions and Uncovering Practices: When Does the Public Really Look at Public Displays? , 2008, Pervasive.

[42]  Jochen Triesch,et al.  Vision in natural and virtual environments , 2002, ETRA.

[43]  Gerald L. Lohse,et al.  Consumer Eye Movement Patterns on Yellow Pages Advertising , 1997 .

[44]  Lizzie Maughan,et al.  Like more, look more. Look more, like more: The evidence from eye-tracking , 2007 .