Target acquisition with camera phones when used as magic lenses

When camera phones are used as magic lenses in handheld augmented reality applications involving wall maps or posters, pointing can be divided into two phases: (1) an initial coarse physical pointing phase, in which the target can be directly observed on the background surface, and (2) a fine-control virtual pointing phase, in which the target can only be observed through the device display. In two studies, we show that performance cannot be adequately modeled with standard Fitts' law, but can be adequately modeled with a two-component modification. We chart the performance space and analyze users' target acquisition strategies in varying conditions. Moreover, we show that the standard Fitts' law model does hold for dynamic peephole pointing where there is no guiding background surface and hence the physical pointing component of the extended model is not needed. Finally, implications for the design of magic lens interfaces are considered.

[1]  Ian Mackenzie,et al.  Fitts' law as a performance model in human-computer interaction , 1992 .

[2]  Yves Guiard,et al.  Preface: Fitts' law 50 years later: Applications and contributions from human-computer interaction , 2004 .

[3]  Yves Guiard,et al.  Target acquisition in multiscale electronic worlds , 2004, Int. J. Hum. Comput. Stud..

[4]  Patrick Baudisch,et al.  Halo: a technique for visualizing off-screen objects , 2003, CHI '03.

[5]  Christine L. MacKenzie,et al.  Physical versus virtual pointing , 1996, CHI.

[6]  Antonio Krüger,et al.  Towards Real-Time Markerless Tracking of Magic Lenses on Paper Maps , 2007 .

[7]  Ravin Balakrishnan,et al.  Reaching for objects in VR displays: lag and frame rate , 1994, TCHI.

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

[9]  Allen Newell,et al.  The psychology of human-computer interaction , 1983 .

[10]  I. Scott MacKenzie,et al.  An Isometric Joystick as a Pointing Device for Handheld Information Terminals , 2001, Graphics Interface.

[11]  Shumin Zhai,et al.  Camera phone based motion sensing: interaction techniques, applications and performance study , 2006, UIST.

[12]  Michael Rohs,et al.  Marker-Based Embodied Interaction for Handheld Augmented Reality Games , 2007, J. Virtual Real. Broadcast..

[13]  A. Murata,et al.  Extending Fitts' law to a three-dimensional pointing task. , 2001, Human movement science.

[14]  Ben Shneiderman,et al.  High Precision Touchscreens: Design Strategies and Comparisons with a Mouse , 1991, Int. J. Man Mach. Stud..

[15]  Tovi Grossman,et al.  Pointing at trivariate targets in 3D environments , 2004, CHI.

[16]  I. Scott MacKenzie,et al.  Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI , 2004, Int. J. Hum. Comput. Stud..

[17]  Patrick Baudisch,et al.  Keeping things in context: a comparative evaluation of focus plus context screens, overviews, and zooming , 2002, CHI.

[18]  E. R. Crossman,et al.  Feedback Control of Hand-Movement and Fitts' Law , 1983, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[19]  Ka-Ping Yee,et al.  Peephole displays: pen interaction on spatially aware handheld computers , 2003, CHI '03.

[20]  Jemal H. Abawajy Advances in pervasive computing: GUEST EDITORIAL , 2009, Int. J. Pervasive Comput. Commun..

[21]  I.,et al.  Fitts' Law as a Research and Design Tool in Human-Computer Interaction , 1992, Hum. Comput. Interact..

[22]  Shumin Zhai,et al.  Virtual reality for palmtop computers , 1993, TOIS.

[23]  Brent J. Hecht,et al.  Wikeye - Using Magic Lenses to Explore Georeferenced Wikipedia Content , 2007 .

[24]  Marcel Worring,et al.  Navigating on hand held displays: Dynamic versus Static Keyhole Navigation , 2006 .