Predictive text entry methods for mobile phones

This paper reports initial user tests comparing text entry methods, analysis of word clashes with dictionary based methods and keystroke level modelling of the different input methods

Understanding contextual interactions to design navigational context-aware applications

Context-aware technology has stimulated rigorous research into novel ways to support people in a wide range of tasks and situations. However, the effectiveness of these technologies will ultimately be dependent on the extent to which contextual interactions are understood and accounted for in their design. This study involved an investigation of contextual interactions required for route navigation. The purpose was to illustrate the heterogeneous nature of humans in interaction with their environmental context. Participants were interviewed to determine how each interacts with or use objects/information in the environment in which to navigate/orientate. Results revealed that people vary individually and collectively. Usability implications for the design of navigational context-aware applications are identified and discussed

An analysis of the use of graphics for information retrieval

Several research groups have addressed the problem of retrieving vector graphics. This work has, however, focused either on domain-dependent areas or was based on very simple graphics languages. Here we take a fresh look at the issue of graphics retrieval in general and in particular at the tasks which retrieval systems must support. The paper presents a series of case studies which explored the needs of professionals in the hope that these needs can help direct future graphics IR research. Suggested modelling techniques for some of the graphic collections are also presented

Investigating five key predictive text entry with combined distance and keystroke modelling

This paper investigates text entry on mobile devices using only five-keys. Primarily to support text entry on smaller devices than mobile phones, this method can also be used to maximise screen space on mobile phones. Reported combined Fitt's law and keystroke modelling predicts similar performance with bigram prediction using a five-key keypad as is currently achieved on standard mobile phones using unigram prediction. User studies reported here show similar user performance on five-key pads as found elsewhere for novice nine-key pad users

Design and development of Taeneb City Guide - from paper maps and guidebooks to electronic guides

This paper reports the design, development and feedback from the initial trial of the Taeneb City Guide project developing tourist information software on Personal Digital Assistant (PDA) handheld computers. Based on the users' requirements for electronic tourists guides already published in the literature, the paper focuses on the three main technology features of the systems, which would give the advantage over the existing paper publication: query-able dynamic map interface, dynamic information content and community review systems and users' forum. The paper also reports the results of an initial trial of a City Guide for Glasgow conducted as part of the EMAC 03 conference

A participatory design and formal study investigation into mobile text entry for older adults

Text entry remains key to many tasks on touchscreen smartphones and is an important factor in the usability of such devices. The known problems of text entry can be particularly acute for older adults due to physical and cognitive issues associated with ageing. In a study of mobile text entry the authors employed a variety of participatory design and formal comparative study techniques in order to explore the requirements of this group of users and to discover the key differences in texting activity between them and younger users of mobile devices. They report on the findings of a lab study of texting behaviour of older adults. The authors’ findings indicate differences in attitudes to texting styles and tasks between older and younger adults. They also identify some differences in typing behaviour and reflect on methods

Designed with older adults to support better error correction in smartphone text entry : the MaxieKeyboard

Through our participatory design with older adults a need for improved error support for texting on smartphones emerged. Here we present the MaxieKeyboard based on the outcomes from this process. The keyboard highlights errors, auto-corrections and suggestion bar usage in the composition area and gives feedback on the keyboard on typing correctness. Our older adult groups have shown strong support for the keyboard

Special issue on reimagining interfaces for older adults

According to the Population Reference Bureau: "The world's population is growing and aging. Very low birth rates in developed countries, coupled with birth rate declines in most developing countries, are projected to increase the population ages 65 and over to the point in 2050 when it will be 2.5 times that of the population ages 0-4. This is an exact reversal of the situation in 1950.". In parallel, recent years have seen mobile technologies having a massive impact on work and social life, for example in May 2014 ComScore estimated that 60% of total digital media time was spent on mobile platforms. Older adults should not be disadvantaged in using mobile technologies for professional, social and lifestyle usage as, increasingly, these are central to supporting work, domestic administration, community involvement and personal independence. Unfortunately, natural ageing processes can interfere with mobile technology usage. The normal ageing process typically involves a decline in visual and auditory abilities together with a decline in working memory, selective attention, and motor control. For example, many people in their 40s start to have vision changes that affect their near focus while movement can be both slower and less accurate from the mid-60s onwards. Many of the physical features of mobile devices are not accommodating of these changing physical characteristics. It has also been highlighted that many older adults will experience problems with small buttons that have poor feedback, complex menu structures, overall device size and difficulty in reading small on-screen text – all common features of the most widely available mobile devices. Where input is concerned, older people have been shown to be slower in text entry studies and studies with older adults have shown concerns about "fat fingers" since the early days of personal digital assistants (PDAs)

Supporting sit-to-stand rehabilitation using smartphone sensors and arduino haptic feedback modules

The aim of this project is to design and build a system to aid patients in their rehabilitation after suffering a stroke. A stroke is one of the most serious conditions that an individual can suffer from, and the rehabilitation is often a long and difficult process. For many with movement effects, the sit-to-stand exercise is an important step in rehabilitation. The focus of this ongoing project is to create a system to assist sit-to-stand rehabilitation through the use of haptic feedback on balance. In this poster we present our initial prototype using standard smartphone accelerometers linked wirelessly to Arduino based vibration feedback modules mounted on the patients' legs. Initial feedback on the prototype is promising