Please join us for a SILS CRADLE Seminar featuring Javed Mostafa and Vincent Carrasco from 12-1 p.m., Friday, April 17 in Manning 208.
Presenters: Javed Mostafa, Vincent Carrasco (SILS)
Title: Identifying Neurological Patterns Associated with Information Seeking: A Pilot fMRI Study
Abstract: Among various information-centric disciplines, online searching has been most intensively studied by information scientists. Research evidence gathered in the last quarter century, as illustrated in a recent comprehensive survey, was primarily influenced by behavioral models. They range from basic information-gap oriented models, such as Belkin’s Anomalous State of Knowledge (ASK) model to more complex ones such as Pirolli’s information foraging model. It is only in the last four or five years that researchers started to focus more intensely on physiological and neurological evidence associated with online searching. Researchers have looked at evidence collected by eye-trackers and fMRI devices to establish a deeper understanding of “relevance” and how it pertains to searches, and some researchers are engaged in developing and evaluating feedback systems that support iterative refinement of search. Efforts are now underway in the broader human computer interaction (HCI) community to expand the focus on neuro-physiological methods for elucidating cognitive load and stress. Contributions by information systems researchers such as Riedl et al. and Dimiko et al. and by information scientists Maior et al. and Pike et al. are representative of research that attempted to link neuro-physiological approaches to HCI. In this lunch talk, we will provide an overview of an ongoing project investigating online search based on a neurological method. The aim of the project is to determine if search task types and the modality of search result presentation lead to differential neurological responses. Using an fMRI-based methodology, data collected from 12 healthy adults, age ranging from 18 to 25, a significant main effect was identified for task type and ranking. An interaction was also found between ranking and accuracy.