Mood Impact on Automaticity of Performance: Handwriting as Exemplar

作者: Clara Rispler , Gil Luria , Allon Kahana , Sara Rosenblum

DOI: 10.1007/S12559-017-9540-Y

关键词:

摘要: The goal of this study was to assess how existing handwriting research can contribute understanding moods impact the automatic processing performance. We based our hypotheses on extensive connecting mood with cognitive functions, because production shown be an automated task impacted by load. As far as we know, no previous has examined direct relationship between affect and (transcription text generation when writing hand). Specifically, evidence exists only for a general (using written words express ideas or opinions). In experiment, 62 participants were divided into three groups (positive, negative, neutral). Mood manipulation conducted according accepted methods memory recall film induction evaluated using PANAS scale. Online measurements participants’ captured tablet electronic pen. Results showed that strokes in negative shorter duration width height. findings presented article make twofold contribution biologically inspired computational studies: integrating cognition exploring additional objective performance-based evaluation functional capabilities aid computerized device. Practical implications are discussed, further research.

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