Investigating UI Displacements in an Adaptive Mobile Homescreen

Norrie, Lauren; Murray-Smith, Roderick

doi:10.4018/ijmhci.2016070101.oa

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…Adaptive Activation-Area Menu (AAMU) [33] is an adaptive morphing menu containing an enlarged activation area for predicted items which dynamically resizes itself providing a broader steering path for menu navigation. Predicted items can be emphasized by highlighting [1], bolding [24], coloring or underlying [21], changing font size [33], moving them [23] to a comfort zone [25], by shortcut [7], and animation [10,26].…”

Section: Related Workmentioning

confidence: 99%

Cloud Menus

Vanderdonckt

Bouzit

Calvary

et al. 2018

23rd International Conference on Intelligent User Interfaces

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This paper presents Cloud Menus, a split adaptive menu for small screens where the predicted menu items are arranged in a circular tag cloud with a location consistent with their corresponding position in the static menu and a font size depending on their prediction level. This layout results from a 3-step design process: (i) defining an initial design space on Bertin's 8 visual variables and 4 quality properties, (ii) identifying the most preferred layout based on agreement rate, and (iii) implementing it into Cloud Menus, a new widget for Android with circular layout. An empirical study suggests that cloud menus reduce item selection time and error rate when prediction is correct without penalizing it when prediction is incorrect, compared to two baselines: a non-adaptive static menu and an adaptive linear menu. From this study, design guidelines for cloud menus are elaborated.

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Section: Related Workmentioning

confidence: 99%

Cloud Menus

Vanderdonckt

Bouzit

Calvary

et al. 2018

23rd International Conference on Intelligent User Interfaces

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G-Menu: A Keyword-by-Gesture Based Dynamic Menu Interface for Smartphones

Vanderdonckt

Petit

2019

Human-Computer Interaction. Recognition and Interaction Technologies

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Exploring a Design Space of Graphical Adaptive Menus

Vanderdonckt

Bouzit

Calvary

et al. 2019

ACM Trans. Interact. Intell. Syst.

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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.

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Investigating UI Displacements in an Adaptive Mobile Homescreen

Abstract: The authors present a system that adapts application shortcuts (apps)

Cited by 4 publications

References 23 publications

Cloud Menus

Cloud Menus

G-Menu: A Keyword-by-Gesture Based Dynamic Menu Interface for Smartphones

Exploring a Design Space of Graphical Adaptive Menus

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