1. Exploring a Design Space of Graphical Adaptive Menus
- Author
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Denis Chêne, Sara Bouzit, Gaëlle Calvary, Jean Vanderdonckt, Université Catholique de Louvain = Catholic University of Louvain (UCL), Ingénierie de l’Interaction Homme-Machine (IIHM ), Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Orange Labs [Meylan], Orange Labs, UCL - SSH/LouRIM - Louvain Research Institute in Management and Organizations, and UCL - SST/ICTM/INGI - Pôle en ingénierie informatique
- Subjects
Preference analysis ,Computer science ,Graphical user interfaces ,Word error rate ,Cloud computing ,02 engineering and technology ,Rendering (computer graphics) ,Artificial Intelligence ,Human–computer interaction ,0202 electrical engineering, electronic engineering, information engineering ,0501 psychology and cognitive sciences ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,ComputingMilieux_MISCELLANEOUS ,050107 human factors ,ComputingMethodologies_COMPUTERGRAPHICS ,Graphical user interface ,business.industry ,05 social sciences ,Touch screens ,020207 software engineering ,Usability ,Pointing devices ,Human-Computer Interaction ,Smartphones ,Human-centered computing ,Ubiquitous and mobile devices ,Tag cloud ,business ,Design space ,Personal computers and PC applications - Abstract
Graphical Adaptive Menus are Graphical User Interface menus whose predicted items of immediate use can be automatically rendered in a prediction window. Rendering this prediction window is a key question for adaptivity to enable the end-user to efficiently differentiate predicted items from normal ones and to consequently select appropriate items. Adaptivity for graphical menus has been investigated more for normal screens, such as desktops, than for small screens, such as smartphones, where real estate imposes severe rendering constraints. To address this question, this article defines and explores a design space where graphical adaptive menus are structured based on Bertin’s eight visual variables (i.e., position, size, shape, value, color, orientation, texture, and motion) and their combination by comparing their rendering for small screens with respect to normal screens. Based on this design space, previously introduced graphical adaptive menus are revisited in terms of four stability properties (i.e., spatial, physical, format, and temporal), and new menu designs are introduced and discussed for both normal and small screens. The resulting set of graphical adaptive menu has been subject to a preference analysis from which a particular design emerged: the cloud menu, where predicted items are arranged in an adaptive tag cloud. We investigate empirically the effect of the cloud menu on the item selection time and the error rate with respect to a static menu and an adaptive linear menu. This article then suggests a set of usability guidelines for designers and practitioners to design graphical adaptive menus in general and cloud menus in particular.
- Published
- 2019
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