Measuring the Use of the Active and Assisted Living Prototype CARIMO for Home Care Service Users: Evaluation Framework and Results

To address the challenges of aging societies, various information and communication technology (ICT)-based systems for older people have been developed in recent years. Currently, the evaluation of these so-called active and assisted living (AAL) systems usually focuses on the analyses of usability and acceptance, while some also assess their impact. Little is known about the actual take-up of these assistive technologies. This paper presents a framework for measuring the take-up by analyzing the actual usage of AAL systems. This evaluation framework covers detailed information regarding the entire process including usage data logging, data preparation, and usage data analysis. We applied the framework on the AAL prototype CARIMO for measuring its take-up during an eight-month field trial in Austria and Italy. The framework was designed to guide systematic, comparable, and reproducible usage data evaluation in the AAL field; however, the general applicability of the framework has yet to be validated

Can User Experience affect buying intention? A case study on the evaluation of exercise equipment.

Treadmills are increasingly loaded with digital technology for assisting the individual during the workout sessions by providing information for tracking relevant training parameters. Also, this technology makes exercise more pleasurable by keeping the user connected to her/his digital ecosystem (e.g. social networking, access to multimedia content). Although there is an increasing interest in digital technologies to be used in fitness, a cursory literature search shows that the interest towards gym equipment is currently limited to the hardware component, thus making biomechanics the focus of the investigation. Other types of contributions are very rare and mostly focused on the design of tools for special populations (e.g. elderly, disabilities) as well as for promoting physical activity monitoring (eHealth). In the present study information on the perceived usability of the interface was collected and analysed along with opinions about buying intention and estimated pricing. Twenty-three individuals were tested after using a treadmill (Technogym S.p.A.) equipped with an interface allowing equipment and training management, activity monitoring and user entertainment. Results indicated a significant influence of perceived usability of the interface on the intention of buying the whole system, thus suggesting the existence of a ROI of Human-Centred Design strategies

Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour

Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise when relating this to long term mention of wearable devices. Previous studies within this area are discussed. We also consider a new approach where data is used to support instead of motivate, through monitoring and logging to encourage reflection. Based on issues highlighted, we then make recommendations on the direction in which future work could be most beneficial

Technology as tool to overcome barriers of using fitness facilities: A health behavioural perspective

Underlying health conditions have been highlighted throughout the literature preventing several populations from engaging in physical activity. There have been little to no attempts made in addressing these populations directly in fitness facilities or indirectly using information technology (IT). The current research aimed at exploring current barriers and practices regarding IT and technological support in a fitness facility environment, using health behaviour theories (HBT) to explain member experiences. The sample was composed of 66 participants selected from 5 fitness facilities in Manchester, UK, of which there were 60.6% males and 39.4% females aged from 18-59. The instrument used was a survey. Health motives were reported by 71.2% of the participants, while ‘injury’ (reported by 70.2%), ‘lack of knowledge about exercise and health’ (reported by 42.4%), and ‘illness’ (reported by 28.1%) as main barriers to use the facilities. The main support mechanisms provided by the facilities management were staff support (59%), with online and technological support only accounting for 38.6% of facility support. The use of personal IT within the facilities were utilised by over half the participants (50.2%). The study revealed the need of additional IT support by fitness facilities in the form of applications and digital platforms. The findings are discussed with HBT as the theoretical underpinnings and suggestions are made for future research regarding IT advancements as support mechanisms

Evaluating the impact of physical activity apps and wearables: interdisciplinary review

Background: Although many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work. Objectives: This study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed. Method: An interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis. Results: A total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance). Conclusions: The rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid research designs, in-device sensors and user-logs to assess effectiveness, engagement, and acceptability. Screening articles was time-consuming because reporting across health and computing sciences lacked standardization. Reporting guidelines are therefore needed to facilitate the synthesis of evidence across disciplines