2 resultados para Multimodal Interaction
Resumo:
In this paper we present a convolutional neuralnetwork (CNN)-based model for human head pose estimation inlow-resolution multi-modal RGB-D data. We pose the problemas one of classification of human gazing direction. We furtherfine-tune a regressor based on the learned deep classifier. Next wecombine the two models (classification and regression) to estimateapproximate regression confidence. We present state-of-the-artresults in datasets that span the range of high-resolution humanrobot interaction (close up faces plus depth information) data tochallenging low resolution outdoor surveillance data. We buildupon our robust head-pose estimation and further introduce anew visual attention model to recover interaction with theenvironment. Using this probabilistic model, we show thatmany higher level scene understanding like human-human/sceneinteraction detection can be achieved. Our solution runs inreal-time on commercial hardware
Resumo:
Background: Sociocultural theories state that learning results from people participating in contexts where social interaction is facilitated. There is a need to create such facilitated pedagogical spaces where participants share their ways of knowing and doing. The aim of this exploratory study was to introduce pedagogical space for sociocultural interaction using ‘Identity Text’.
Methods: Identity texts are sociocultural artifacts produced by participants, which can be written, spoken, visual, musical, or multimodal. In 2013, participants of an international medical education fellowship program were asked to create their own Identity Texts to promote discussion about participants’ cultural backgrounds. Thematic analysis was used to make the analysis relevant to studying the pedagogical utility of the intervention.
Result: The Identity Text intervention created two spaces: a ‘reflective space’ helped
participants reflect on sensitive topics like institutional environments, roles in
interdisciplinary teams, and gender discrimination. A ‘narrative space’ allowed
participants to tell powerful stories that provided cultural insights and challenged cultural hegemony; they described the conscious and subconscious transformation in identity that evolved secondary to struggles with local power dynamics and social demands involving the impact of family, peers and country of origin.
Conclusion: Whilst the impact of providing pedagogical space using Identity Text on
cognitive engagement and enhanced learning requires further research, the findings of
this study suggest that it is a useful pedagogical strategy to support cross-cultural
education.