Age, Technology Usage, and Cognitive Characteristics in Relation to Perceived Disorientation and Reported Website Ease of Use

Comparative studies including older and younger adults are becoming more common in HCI, generally used to compare how these two different age groups will approach a task. However, it is unclear whether user 'age' is the underlying factor that differentiates between these two groups. To address this problem, an examination into the relationship between users' age, previous technology experience, and cognitive characteristics is conducted. Measures of perceived disorientation and reported ease of use are used to understand links that exist between these user characteristics and their effect on browsing experience. This is achieved through a lab-based information retrieval task, where participants visited a selection of websites in order to find answers to a series of questions and then self reported their feelings of perceived disorientation and website ease of use through a Likert-scored questionnaire. The presented research found that age accounts for as little as 1% of user browsing experience when performing information retrieval tasks. Further, it showed that cognitive ability and previous technology experience significantly affected perceived disorientation in these searches. These results argue for the inclusion of metrics regarding cognitive ability and previous technology experience when analyzing user satisfaction and performance in Internet based-studies

Buildings and users with visual impairment::uncovering factors for accessibility using BIT-Kit

In this paper, we report on the experiences of visually impaired users in navigating buildings. We focus on an investigation of the way-finding experiences by 10 participants with varying levels of visual ability, as they undertook a way-finding task in an unfamiliar public building. Through applying the BIT-Kit framework in this preliminary user study, we were able to uncover 54 enabling and disabling interactions within the case study building. While this building adhered to building legislation, our findings identified a number of accessibility problems including, issues associated with using doors, hazards caused by building finishes, and difficulty in knowing what to do in the case of an emergency evacuation. This user study has demonstrated a disparity between design guidance and the accessibility needs of building users. It has uncovered evidence to enable architects to begin to design for the real needs of users who have a range of visual impairment. Furthermore, it has instigated discussion of how BIT-Kit's evidence could be incorporated into digital modelling tools currently used in architectural practice

mBrailler: Multimodal Braille Keyboard for Android

Touchscreen devices have paved their way into the mobile scene, presenting a wide set of possibilities but a comparable number of new challenges, particularly for people who are blind. While these devices have a small number of tactile cues, such as buttons, they provide the opportunity to create novel interaction techniques. In this paper, we present mBrailler. mBrailler is a mobile braille keyboard that combines the benefits of physical keyboards (speed and accuracy) and gestural interfaces (flexibility and personalization). We built an 8-button Braille keyboard that can be attached to the back of mainstream smartphones allowing fast and familiar chorded input. On the other hand,the touchscreen enables thumb entered gestures for more complex text editing operations, such as caret movement, text selection, copy, and paste. This project combines the tactile benefits of Braille typewriters with the customization of smartphone applications. We aim to provide a more efficient and effective typing experience for blind users, thus increasing their productivity with current mobile devices

A Platform for the Analysis of Qualitative and Quantitative Data about the Built Environment and its Users

There are many scenarios in which it is necessary to collect data from multiple sources in order to evaluate a system, including the collection of both quantitative data - from sensors and smart devices - and qualitative data - such as observations and interview results. However, there are currently very few systems that enable both of these data types to be combined in such a way that they can be analysed side-by-side. This paper describes an end-to-end system for the collection, analysis, storage and visualisation of qualitative and quantitative data, developed using the e-Science Central cloud analytics platform. We describe the experience of developing the system, based on a case study that involved collecting data about the built environment and its users. In this case study, data is collected from older adults living in residential care. Sensors were placed throughout the care home and smart devices were issued to the residents. This sensor data is uploaded to the analytics platform and the processed results are stored in a data warehouse, where it is integrated with qualitative data collected by healthcare and architecture researchers. Visualisations are also presented which were intended to allow the data to be explored and for potential correlations between the quantitative and qualitative data to be investigated

Technology for supporting care staff in residential homes.

Care staff, those who attend to the day-to-day needs of people in residential facilities, represent an important segment of the health-care provision of those entrusted to their care. The potential use of technology by care staff has not been a focus of researcher attention. The work reported here provides initial steps in addressing that gap, considering both the design requirements for this population and presentation of early work on a software system for use by care staff. We describe the development of a software tool for use by care staff, called Portrait, and report two studies related to factors affecting technology use by this population. The results of this research are promising, with Portrait being very positively received by care managers and care staff. Use of this software in a care home for over a month indicated continued use, with care staff returning to the system throughout the test period. The contributions of this research are the identification of factors important in working with a care staff population, the introduction and evaluation of a novel software tool for care staff in residential homes, and the highlighting of potential benefits of technology in assisting care staff

Typing performance of blind users:an analysis of touch behaviors, learning effect, and in-situ usage

Non-visual text-entry for people with visual impairments has focused mostly on the comparison of input techniques reporting on performance measures, such as accuracy and speed. While researchers have been able to establish that non-visual input is slow and error prone, there is little understanding on how to improve it. To develop a richer characterization of typing performance, we conducted a longitudinal study with five novice blind users. For eight weeks, we collected in-situ usage data and conducted weekly laboratory assessment sessions. This paper presents a thorough analysis of typing performance that goes beyond traditional aggregated measures of text-entry and reports on character-level errors and touch measures. Our findings show that users improve over time, even though it is at a slow rate (0.3 WPM per week). Substitutions are the most common type of error and have a significant impact on entry rates. In addition to text input data, we analyzed touch behaviors, looking at touch contact points, exploration movements, and lift positions. We provide insights on why and how performance improvements and errors occur. Finally, we derive some implications that should inform the design of future virtual keyboards for non-visual input. Categories and Subject Descriptors H.5.2 [Information Interfaces and Presentation]: User Interfaces- Input devices and strategies. K4.2 [Computers an

The Wisdom of Older Technology (Non-)Users

Older adults consistently reject digital technology even when designed to be accessible and trustworthy