Measuring Glance Legibility of Wearable Heads-Up Display Interfaces Using an Adaptive Staircase Procedure

Heads-up displays (HUDs) are growing in popularity and utility, providing novel ways to interact with environments and other individuals. HUD interfaces must allow users to quickly view information without distracting them from their primary task. We test the use of an adaptive staircase as a method to investigate the glance legibility of two Google Glass heads-up display interfaces. Glance legibility refers to an interface’s legibility when viewed in short amounts of time (also known as glance-like conditions). We measure glance legibility by the minimum presentation time required to read an interface and respond correctly to a yes-no question. The applications of this research can help inform the design and evaluation of future heads-up display interfaces under glance-like conditions.

[1]  Wilma A. Bainbridge,et al.  The intrinsic memorability of face photographs. , 2013, Journal of experimental psychology. General.

[2]  Allison B. Sekuler,et al.  The effect of aging on the orientational selectivity of the human visual system , 2009, Vision Research.

[3]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[4]  A. Watson,et al.  Quest: A Bayesian adaptive psychometric method , 1983, Perception & psychophysics.

[5]  M. Leek.  Adaptive procedures in psychophysical research , 2001, Perception & psychophysics.

[6]  G. Gescheider.  Psychophysics: The Fundamentals , 1997 .

[7]  Hadley Wickham,et al.  ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .

[8]  Bradley J. Rhodes,et al.  The wearable remembrance agent: A system for augmented memory , 1997, Digest of Papers. First International Symposium on Wearable Computers.

[9]  R. Ratcliff,et al.  A Diffusion Model Account of Criterion Shifts in the Lexical Decision Task. , 2008, Journal of memory and language.

[10]  Jonathan Dobres,et al.  A Pilot Study Measuring the Relative Legibility of Five Simplified Chinese Typefaces Using Psychophysical Methods , 2014, AutomotiveUI.

[11]  H. Levitt.  Transformed up-down methods in psychoacoustics. , 1971, The Journal of the Acoustical Society of America.

[12]  Roger Ratcliff,et al.  The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks , 2008, Neural Computation.

[13]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .

[14]  Jocelyn Faubert,et al.  Visual perception and aging. , 2002, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[15]  O. Muensterer,et al.  Google Glass in pediatric surgery: an exploratory study. , 2014, International journal of surgery.

[16]  Donald W. Kline,et al.  SYMBOL SIGNING DESIGN FOR OLDER DRIVERS , 1997 .

[17]  Jonathan Dobres,et al.  Revealing Differences in Legibility Between Typefaces Using Psychophysical Techniques: Implications for Glance Time and Cognitive Processing , 2014 .

[18]  C. Wickens.  Engineering psychology and human performance, 2nd ed. , 1992 .

[19]  Tara Matthews,et al.  Designing and evaluating glanceable peripheral displays , 2006, DIS '06.

[20]  Jonathan Dobres,et al.  Assessing the impact of typeface design in a text-rich automotive user interface , 2014, Ergonomics.