Automatically generating user interfaces adapted to users' motor and vision capabilities

Abstract

Most of today's GUIs are designed for the typical, able-bodied user; atypical users are, for the most part, left to adapt as best they can, perhaps using specialized assistive technologies as an aid. In this paper, we present an alternative approach: SUPPLE++ automatically generates interfaces which are tailored to an individual's motor capabilities and can be easily adjusted to accommodate varying vision capabilities. SUPPLE++ models users' motor capabilities based on a onetime motor performance test and uses this model in an optimization process, generating a personalized interface. A preliminary study indicates that while there is still room for improvement, SUPPLE++ allowed one user to complete tasks that she could not perform using a standard interface, while for the remaining users it resulted in an average time savings of 20%, ranging from an slowdown of 3% to a speedup of 43%.

Automatic Generation of User Interface Layouts for Alternative Screen Orientations

“…Sears [24] proposed an objective function for UI layouts which accumulates the expected time required to perform common tasks. Similarly, SUPPLE [25,26] adapts layouts to user's motor and vision capabilities by choosing optimal widgets. Our objective function is based on design patterns and designed to find "good" layouts using layout information only available at design time.…”

User interface adaptation for ICT based alternative and augmentative applications

“…Prototype of a system which adapts user interfaces to achieve accessibility of web-based services and devices from their own handheld device in a personalized way is presented in [13]. Automatically generated interfaces which are tailored to an individual's motor capabilities and can be easily adjusted to accommodate varying vision capabilities based on a motor performance test are described in [14].…”

Prototyping TV and Tablet Facebook Interfaces for Older Adults

“…From the end of the 20th century, several projects focused on the adaptation and personalization of user interfaces having older adults in mind. This was done either by adapting dynamic characteristics [27], by changing layout and font size [12], or by offering multimodal interaction along with the transformation of applications appearance and presentations style to fit user's characteristics [8]. Moreover, and since about 2009, researchers have been verifying that personalization and adaptation are even more highly appreciated by older adults when considering SNS profile presentation [20] and SNS features [5,22].…”