The rise of health-related challenges necessitates personalisation in digital behaviour change interventions beyond traditional self-reported assessments. This systematic review analysed 75 studies using the PRISMA methodology to explore how digital biomarkers collected from consumer wearables and smartphones can be leveraged to infer psychosocial factors such as stress, anxiety and mood, among others. Several key combinations of digital biomarkers, including heart rate variability, electrodermal activity, skin temperature, motion data, phone usage and GPS-based patterns, were identified for inferring 11 psychosocial factors. The review also examined analytical techniques used for inferring these psychosocial factors, revealing a clear shift from traditional regression models to advanced machine-learning approaches for more accurate and scalable predictions. The findings show that real-time data streams collected from everyday consumer devices hold great untapped potential for continuous and objective monitoring of behavioural health and overall well-being. While new wearable technologies continue to emerge, an equally pressing challenge lies in unlocking the full potential of data already generated daily by smartwatches, smartphones and fitness trackers. Harnessing this information, from pockets and wrists to real-time inference of psychosocial factors, paves the way for scalable, personalised digital behaviour change solutions, improving early detection, timely support and preventive care across diverse populations.

Engaging children in Interaction Design user research through interviews and focus group methods is constrained by differences in age-related verbal skills, cognitive capacities, and power dynamics. In the current research, we involved children with Type I diabetes (T1DM) in co-design workshops using the Collage technique to explore their perspectives on an “ideal day with diabetes” and challenges related to diabetes management. Overall, the Collage technique has shown its potential for understanding children's needs diagnosed with medical conditions. Results from three co-design workshops indicated that collages helped us make sense of the interview and distinguish the most important concepts, such as the importance of time. Collage proposed topics for more meaningful discussion and provided detailed information on children's latent needs for possible future technology. Co-design workshops also highlighted useful insights for moderators, such as the need to carefully plan group work, actively initiate discussion, and plan backup activities.

Fusion multidisciplinary subjects in order to present a unique and complementary perspective may enhance and extend the knowledge acquisition, and consequently, the student experience. In this paper we report a case study on methodology, which interlinks various subjects creating and engaging learning process by combining Science, Technology, Engineering and Mathematics (STEM) and Design. In line with this, an Experimental Interaction Design summer course was designed and implemented based on a multi-cultural, defiant and creative environment in order to provide an effective learning on solving the real-world challenges. Twelve students were involved in this initiative, which resulted in the development of several projects such as a pets' tracking and behavior analysis, a smart home for elderlies, and a medication reminder device, in which design, prototyping, usability evaluation and programming concepts were combined. In this report, we focus on the study design with the aim to provide scaffolding for multidisciplinary teams of students in design-based projects that require STEM competences.

In this paper, we have reviewed different types of medical records like the Paper Based Medical Record, Electronic Medical Records, Electronic Health Records, and Personal Health Records. Also, we have examined a process of medical records in Afghanistan private and public hospitals. On that base we have discussed the opportunities for developing of electronic health records system in Afghanistan.

This paper presents the potential of a social semantic infrastructure that implements an Actor Artifact Network (AAN) with the final goal of supporting learning analytics at the workplace. Two applications were built on top of such infrastructure and make use of the emerging relations of such a AAN. A preliminary evaluation shows that an AAN can be created out of the usage of both applications, thus opening the possibility to implement learning analytics at the workplace.

This paper draws a big picture in order to summarize three alternative software development projects aiming at offering an technologically and pedagogically innovative alternative to the mainstream software platform used in Technology-Enhanced Learning today: institutional Learning Management Systems. The analysis follows the dialectical logic, comparing and contrasting various initiatives in creating Personal Learning Environments as a dialectical antithesis to LMS. The paper analyses three innovative PLE solutions that can be interpreted as the dialectical synthesis, that are making use of the best from the both worlds: LMS and PLE.

This paper describes LePress, a WordPress plug-in that enhances blog-based personal learning environment (PLE) with features and semantics that facilitate planning, implementation, and analysis of learning flows. The paper introduces learning flows in LePress, and then explains learning semantics the LePress supports. In order to demonstrate the advantages of LePress for learning analytics, we describe how it can facilitate explicit data collection and analysis of learning activities in blog-based PLEs. In order to demonstrate the advantages of LePress for learning analytics, we describe how it can facilitate explicit data collection and analysis of learning activities in blog-based PLEs.