This article highlights the psychological dimension of social learning. Insights from psychology address the interrelated role of personal and group dynamics in social learning. This can provide a useful starting point for a rewarding use of social learning as an analytical tool in co-creative planning. Such an approach to social learning proves beneficial to (i) identify both positive and negative potential effects of social learning, (ii) untangle hidden power relationships at play at individual and small group levels in relation to social psychological factors, and (iii) discern the role of individuals and small groups within their larger contexts. The findings are empirically illustrated with a case of incremental urban development in Groningen, the Netherlands.
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Temporary transformations of vacant buildings could alleviate the shortage of housing for urgent home seekers. However, not much is known about the transformation of buildings into temporary, adequate, and affordable housing. A multidisciplinary literature review covering design, indoor environmental quality, housing, and environmental psychology, was performed to determine if such an integrative approach could shed light on a new perspective to provide housing for ‘urgent home seekers’. Subsequently, building transformation case studies were compared with the literature review findings. It is concluded that there is a gap in knowledge on how the concept of ‘home’ can be added to existing regulations in order to design and realise temporary housing that fits the needs of urgent home seekers.
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Being able to classify experienced emotions by identifying distinct neural responses has tremendous value in both fundamental research (e.g. positive psychology, emotion regulation theory) and in applied settings (clinical, healthcare, commercial). We aimed to decode the neural representation of the experience of two discrete emotions: sadness and disgust, devoid of differences in valence and arousal. In a passive viewing paradigm, we showed emotion evoking images from the International Affective Picture System to participants while recording their EEG. We then selected a subset of those images that were distinct in evoking either sadness or disgust (20 for each), yet were indistinguishable on normative valence and arousal. Event-related potential analysis of 69 participants showed differential responses in the N1 and EPN components and a support-vector machine classifier was able to accurately classify (58%) whole-brain EEG patterns of sadness and disgust experiences. These results support and expand on earlier findings that discrete emotions do have differential neural responses that are not caused by differences in valence or arousal.
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