Archive | 2019
Mapping the neural activities and affective dimensions of the ISP model: Correlates in the search exploration, formulation, and collection stages
Abstract
The affective and neurological components of information retrieval system design have increasingly become an essential part of research in human-information interaction and interactive information retrieval. These sophisticated processes are composed of not only human cognitive processes but also emotional and neuropsychological responses. This research contributes three original findings to the field of Information Science, positioned in Neuro Information Science. This experimental research 1) mapped the neurophysiological dimensions of information search processes model, 2) integrated the three disciplines of Neuroscience, Information Science, and Cognitive Psychology, and 3) helped detect dimensions of emotions using EEG devices. This study collected brain frequencies through the EMOTIV EEG neuroheadset. The results indicated that there were clear differences in the brain frequencies/waves within different locations of the brain, depending on the ISP stage and the emotional state.