4,524 research outputs found

    Ambient Gestures

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    We present Ambient Gestures, a novel gesture-based system designed to support ubiquitous ‘in the environment’ interactions with everyday computing technology. Hand gestures and audio feedback allow users to control computer applications without reliance on a graphical user interface, and without having to switch from the context of a non-computer task to the context of the computer. The Ambient Gestures system is composed of a vision recognition software application, a set of gestures to be processed by a scripting application and a navigation and selection application that is controlled by the gestures. This system allows us to explore gestures as the primary means of interaction within a multimodal, multimedia environment. In this paper we describe the Ambient Gestures system, define the gestures and the interactions that can be achieved in this environment and present a formative study of the system. We conclude with a discussion of our findings and future applications of Ambient Gestures in ubiquitous computing

    Investigating the appropriateness and relevance of mobile web accessibility guidelines

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    The Web Accessibility Initiative (WAI) of the World Wide Web Consortium (W3C) develop and maintain guidelines for making the web more accessible to people with disabilities. WCAG 2.0 and the MWBP 1.0 are internationally regarded as the industry standard guidelines for web accessibility. Mobile testing sessions conducted by AbilityNet document issues raised by users in a report format, relating issues to guidelines wherever possible. This paper presents the results of a preliminary investigation that examines how effectively and easily these issues can be related by experts to the guidelines provided by WCAG 2.0 and MWBP 1.0. Copyright 2014 ACM

    Effects of User Age on Smartphone and Tablet Use, Measured with an Eye-Tracker via Fixation Duration, Scan-Path Duration, and Saccades Proportion

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    The design of user interfaces plays an important role in human computer interaction, especially for smartphones and tablet devices. It is very important to consider the interface design of smartphones for elderly people in order for them to benefit from the variety applications on such devices. The aim of this study is to investigate the effects of user age as well as screen size on smartphone/tablet use. We evaluated the usability of smartphone interfaces for three different age groups: elderly age group (60+ years), middle age group (40-59 years) and younger age group (20-39 years). The evaluation is performed using three different screen sizes of smartphone and tablet devices: 3.2", 7", and 10.1" respectively. An eye-tracker device was employed to obtain three metrics: fixation duration, scan-path duration, and saccades amplitude. Two hypothesis were considered. First, elderly users will have both local and global processing difficulties on smartphone/tablet use than other age groups. Second, all user age groups will be influenced by screen sizes; small screen size will have smaller saccades proportion indicating uneasy interface browsing compared to large screen size. All these results have been statistically evaluated using 2-way ANOVA

    Tap 'N' Shake: Gesture-based Smartwatch-Smartphone Communications System

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    Smartwatches have recently seen a surge in popularity, and the new technology presents a number of interesting opportunities and challenges, many of which have not been adequately dealt with by existing applications. Current smartwatch messaging systems fail to adequately address the problem of smartwatches requiring two-handed interactions. This paper presents Tap 'n' Shake, a novel gesture-based messaging system for Android smartwatches and smartphones addressing the problem of two-handed interactions by utilising various motion-gestures within the applications. The results of a user evaluation carried out with sixteen subjects demonstrated the usefulness and usability of using gestures over two-handed interactions for smartwatches. Additionally, the study provides insight into the types of gestures that subjects preferred to use for various actions in a smartwatch-smartphone messaging system
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