Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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PAPERS: Studying Older People - Theories and Methods Location: 50 George Square, G.04 Zoom Link Accessibility: https://www.accessable.co.uk/the-university-of-edinburgh/central-area/access-guides/george-square-50 Session Chair: Stella Boess, Delft University of Technology Session Chair: Abdusselam Cifter, Brunel University of London | |
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Making the invisible visible: Supporting older adults’ expression of emotional needs for companion robots through visual co-design tools 1: Design School, Brunel University of London, United Kingdom; 2: The Helen Hamlyn Centre for Design, Royal College of Art, United Kingdom; 3: Department of Mechanical and Aerospace Engineering, Brunel University of London, United Kingdom As populations age, companion robots are increasingly explored to support emotional well-being in later life. However, older adults often find it difficult to express abstract emotions or imagine interactions with unfamiliar technologies, limiting their participation in early-stage design. This study develops and validates a structured toolkit designed to support emotional articulation and co-design participation. The toolkit, consisting of companionship cards, robot role cards, and recording canvases, was refined through expert evaluation and user testing, and validated through comparative interviews with older adults (n=10). Results show that the toolkit supported richer emotional expression, smoother dialogue, and more sustained engagement, helping participants transform lived emotional experience into design-relevant insights. The study contributes a replicable methodological approach for emotion-centred participatory design, showing how structured visual scaffolding can foster emotional and conceptual inclusion, empower older adults to articulate their perspectives, and help their voices more actively shape more resonant Human–Robot Interaction. View Paper: https://doi.org/10.21606/drs.2026.1394
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