Combining Eye Tracking and Conventional Techniques for Indications of User-Adaptability

We have captured and analysed users’ eye movements by means of an eye-tracking device to re-visit existing web design guidelines. The study reported here examines how quickly users adapt to an unfamiliar design layout and, in particular, how quickly they adjust their expectations of where to look for a given target link during repeated exposures to a new layout. Eye movement-based metrics such as time to target fixation, location of first fixation and scan path (sequence of fixations) were applied to capture users’ eye movements. These metrics were then applied to analyse the effects of repeated exposures and of design layouts of websites. More exposures led to decreased time to target fixation, indicating that user-adaptation occurred. The visual characteristics of the target link also influenced visual search behaviour. Qualitative complementary data such as the users’ frequency and purpose of internet usage, users’ expectations about the target link added value to the eye-movement data.

[1]  Joseph H. Goldberg,et al.  Eye Tracking in Usability Evaluation , 2003 .

[2]  Bing Pan,et al.  The determinants of web page viewing behavior: an eye-tracking study , 2004, ETRA.

[3]  Anthony J. Hornof,et al.  Cognitive strategies and eye movements for searching hierarchical computer displays , 2003, CHI '03.

[4]  Thorsten Joachims,et al.  Eye-tracking analysis of user behavior in WWW search , 2004, SIGIR '04.

[5]  Joseph H. Goldberg,et al.  Computer interface evaluation using eye movements: methods and constructs , 1999 .

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

[7]  Brian D. Ehret,et al.  Learning where to look: location learning in graphical user interfaces , 2002, CHI.

[8]  Todd S. Horowitz,et al.  Visual search has no memory , 1998, Nature.

[9]  M. Wittrock Handbook of research on teaching , 1986 .

[10]  Jens Riegelsberger,et al.  Could I have the Menu Please? An Eye Tracking Study of Design Conventions , 2004 .

[11]  Linden J. Ball,et al.  An Eye Movement Analysis of Web Page Usability , 2002 .

[12]  Joseph H. Goldberg,et al.  Eye Movements and Interface Component Grouping: An Evaluation Method , 1998 .

[13]  K. Rayner,et al.  The psychology of reading , 1989 .

[14]  Anthony J. Hornof,et al.  Link colors guide a search , 2004, CHI EA '04.

[15]  Janet Finlay,et al.  Designing for Visual Influence: an Eye Tracking Study of the Usability of Graphical Management Information , 2003, INTERACT.

[16]  E. B. Page Ordered Hypotheses for Multiple Treatments: A Significance Test for Linear Ranks , 1963 .

[17]  Jakob Nielsen,et al.  E-Commerce User Experience , 2001 .

[18]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[19]  Stuart K. Card,et al.  Information foraging in information access environments , 1995, CHI '95.

[20]  Susan T. Dumais,et al.  The spatial metaphor for user interfaces: experimental tests of reference by location versus name , 1986, TOIS.

[21]  Gregory D. Abowd,et al.  Human-Computer Interaction (3rd Edition) , 2003 .

[22]  M. Just,et al.  Eye fixations and cognitive processes , 1976, Cognitive Psychology.

[23]  Joseph H. Goldberg,et al.  Eye tracking in web search tasks: design implications , 2002, ETRA.

[24]  Paul M. Fitts,et al.  Eye movements of aircraft pilots during instrument-landing approaches. , 1950 .

[25]  Michael E. Holmes,et al.  Visual attention to repeated internet images: testing the scanpath theory on the world wide web , 2002, ETRA.