Ubiquitous computing, new sensor technologies, and increasingly available and accessible algorithms for pattern recognition and machine learning enable automatic analysis and modeling of human behavior in many novel ways. In this introductory paper of the 6th International Workshop on Human Behavior Understanding (HBU’15), we seek to critically assess how HBU technology can be used for elderly. We describe and exemplify some of the challenges that come with the involvement of aging subjects, but we also point out to the great potential for expanding the use of ICT to create many applications to provide a better life for elderly.
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City authorities want to know how to match the charging infrastructures for electric vehicles with the demand. Using camera recognition algorithms from artificial intelligence we investigated the behavior of taxis at a charging stations and a taxi stand.
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Abstract: Combined lifestyle interventions (CLI) are focused on guiding clients with weight-related health risks into a healthy lifestyle. CLIs are most often delivered through face-to-face sessions with limited use of eHealth technologies. To integrate eHealth into existing CLIs, it is important to identify how behavior change techniques are being used by health professionals in the online and offline treatment of overweight clients. Therefore, we conducted online semi-structured interviews with providers of online and offline lifestyle interventions. Data were analyzed using an inductive thematic approach. Thirty-eight professionals with (n = 23) and without (n = 15) eHealth experience were interviewed. Professionals indicate that goal setting and action planning, providing feedback and monitoring, facilitating social support, and shaping knowledge are of high value to improve physical activity and eating behaviors. These findings suggest that it may be beneficial to use monitoring devices combined with video consultations to provide just-in-time feedback based on the client’s actual performance. In addition, it can be useful to incorporate specific social support functions allowing CLI clients to interact with each other. Lastly, our results indicate that online modules can be used to enhance knowledge about health consequences of unhealthy behavior in clients with weight-related health risks.
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Design, Design Thinking, and Co-design have gained global recognition as powerful approaches for innovation and transformation. These methodologies foster stakeholder engagement, empathy, and collective sense-making, and are increasingly applied to tackle complex societal and institutional challenges. However, despite their collaborative potential, many initiatives encounter resistance, participation fatigue, or only result in superficial change. A key reason lies in the overlooked undercurrent—the hidden systemic dynamics that shape transitions. This one-year exploratory research project, initiated by the Expertise Network Systemic Co-design (ESC), aims to make systemic work accessible to creative professionals and companies working in social and transition design. It focuses on the development of a Toolkit for Systemic Work, enabling professionals to recognize underlying patterns, power structures, and behavioral dynamics that can block or accelerate innovation. The research builds on the shared learning agenda of the ESC network, which brings together universities of applied sciences, design practitioners, and organizations such as the Design Thinkers Group, Mindpact, and Vonken van Vernieuwing. By integrating systemic insights—drawing from fields like systemic therapy, constellation work, and behavioral sciences—into co-design practices, the project strengthens the capacity to not only design solutions but also navigate the forces that shape sustainable change. The central research question is: How can we make systemic work accessible to creative professionals, to support its application in social and transition design? Through the development and testing of practical tools and methods, this project bridges the gap between academic insights and the concrete needs of practitioners. It contributes to the professionalization of design for social innovation by embedding systemic awareness and collective learning into design processes, offering a foundation for deeper impact in societal transitions.
