Science and Engineering Faculty – PhD Final Seminar
School of Information Systems – Information Science Discipline
Date: 21 February, 2018
Time: 4:00 p.m. (Pacific Time)
Venue: Clark Hall, Room 322, School of Information
San José State University, San Jose CA 95129
Online via Zoom: Join from PC, Mac, Linux, iOS or Android:
Speaker: Niloufar Sarraf
Prof. Virginia Tucker, SJSU External Supervisor
Prof. Sylvia Edwards, QUT,Associate Supervisor
Prof. Ian Stoodley, QUT, Principal Supervisor
Prof. Christine Bruce, JCU, External Supervisor
Prof. Bill Fisher, SJSU, QUT Adjunct HOS Representative and Panel Chair
Prof. Christine Bruce, External Representative
Prof. Michelle Chen, SJSU Discipline Expert
Prof. Virginia Tucker, External Supervisor
Mapping the Neurophysiological and the Affective Dimensions of the Information Search Process Model
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 (NP) responses. One of the most cited information search process models, the Information Search Process (ISP) model (Kuhlthau, 1991), identified three realms of user experience; affective (feelings), cognitive (thoughts), and physical (actions) realms. While the ISP model identified three dimensions of user experience, it does not include the NP dimension of the brain. Neither does it examine the impact, if any, of emotional states on the NP dimension.
This research contributes three original findings to the field of Information Science, positioned in Neuro Information Science. First, this experimental research discovered and mapped the neurophysiological and the emotional dimensions of information search processes. Second, this thesis connected the dots between the discrete emotions of Kuhlthau’s model (1991), the continuous dimensions of emotion scale of Scherer (2005), and the neurophysiological and emotional aspects of information search processes (Sarraf, 2018). Third, this research contributed to the body of knowledge for detection of dimensions of emotions using EEG devices. 48 participants performed search tasks during neutral, positive, and negative emotional states. This study collected brain frequencies through the Emotiv EEG neuroheadset. The results indicated that there were clear differences in the brain frequencies within different locations of the brain, depending on the ISP stage and the emotional state.
One of the major findings of this study discovered that, regardless of the information search stages and/or emotional states, the dominant active part of the brain was the upper left brain, which primarily handles logical and analytical thoughts. Moreover, this study showed that when investigating (exploration stage) and forming focus (formulation stage) in searching for information, the brain was extremely active, thinking logical/analytical thoughts. But the brain slowed down in logical/analytical thinking when gathering for information (collection stage).
On the other hand, positive feelings harmonized the neural activities of the brain regardless of the stages of information search. During information search stages, the brain activities balanced out, thinking only logical analytical thoughts. Yet negativity affected the brain drastically in that, when investigating information, while the logical/analytical thoughts increased, so did intuition and interpersonal feelings.
This study also connected the discrete emotions and the continuous emotions on the valence-arousal scale. The continuous emotions roughly changed from (a) negative-excited to (b) positive-calm to (c) positive-excited. This study suggest that, the corresponding neurophysiological aspects of the ISP stages change from (a) gamma to (b) gamma to (c) beta in the upper left brain, which handles logical and analytical thinking.
Lastly, this study supported the existing experimental research methods and results when detecting dimensions of emotions using EEG devices. During positive emotional states, beta waves in the upper left brain were the most dominant. During negative emotions, beta and gamma waves were dominant both in the upper left and in the right brain hemisphere.The right brain hemisphere was active with beta and gamma waves when feeling negative emotions and in positive emotions the brain was active in the upper left quadrant eliciting beta waves.
Niloufar Sarraf has over 10 years of academic and industry user-centered research experience in web and mobile technologies from IBM, Google, Yahoo, Stanford University, VMware, Unity Technologies, and SAP Labs. She is natively interested in how humans interact with everything and is a student of human emotional motivation and sensory cognition, studying how these forces interact with computer and user interfaces. She is a thought leader in the industry with research paper publications and has been invited to speak at BayCHI, iConference, guest lecturing at universities, Cognitive Computing Forum conference, and TTI Vanguard to speak about her doctoral work in the new and emerging discipline of Neuro Information Science.