Transfer of contextual cueing in full-icon display remapping
Author(s) -
Zhuanghua Shi,
Xiaonan Zang,
Limin Jia,
Thomas Geyer,
Hermann J. Müller
Publication year - 2013
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/13.3.2
Subject(s) - icon , invariant (physics) , computer science , usability , artificial intelligence , computer vision , context (archaeology) , human–computer interaction , mathematics , geography , archaeology , mathematical physics , programming language
Invariant spatial context can expedite visual search, an effect that is known as contextual cueing (e.g., Chun & Jiang, 1998). However, disrupting learned display configurations abolishes the effect. In current touch-based mobile devices, such as the iPad, icons are shuffled and remapped when the display mode is changed. However, such remapping also disrupts the spatial relationships between icons. This may hamper usability. In the present study, we examined the transfer of contextual cueing in four different methods of display remapping: position-order invariant, global rotation, local invariant, and central invariant. We used full-icon landscape mode for training and both landscape and portrait modes for testing, to check whether the cueing transfers to portrait mode. The results showed transfer of contextual cueing but only with the local invariant and the central invariant remapping methods. We take the results to mean that the predictability of target locations is a crucial factor for the transfer of contextual cueing and thus icon remapping design for mobile devices.
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