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Use animations to support knowledge transfer built on the understanding of the non-experts’ mental model

Wu, Xiangyi (2018) Use animations to support knowledge transfer built on the understanding of the non-experts’ mental model.

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Abstract:Knowledge visualization as a recent branch of visualization science was established by Burkhard [1] at 2004. In his theory, animation was mentioned as one of major visual formats for knowledge transfer. However, there is a lack of further research about its impact on the transfer of knowledge. The aim of this study is to understand key characteristics that constitute to the mental model of nonexperts on domain knowledge. Subsequent to this, it is investigated how animations support knowledge transfer to non-experts. In this study, home automation planning is used as a case to explore the characteristics that best constitute a good animation for knowledge transfer. The results showed that non-experts’ general attention was placed on cause and effect relations of a typical automatic lighting control and non-experts had misconceptions possibly because of different life experience, knowledge background, information vagueness, and overconfidence. The event segmentation in non-experts’ mental model was used to guide animation design which resulted in higher perceived clarity, less misconceptions during knowledge transfer to non-experts. In addition, our results from exploratory observation indicated that animations have potential to facilitate collaborative knowledge transfer and decision making process.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general
Programme:Interaction Technology MSc (60030)
Link to this item:http://purl.utwente.nl/essays/75723
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