All Theses and Dissertations
Degree
Doctor of Philosophy in Computer Science
Faculty / School
School of Mathematics and Computer Science (SMCS)
Department
Department of Computer Science
Date of Award
Fall 2024
Advisor
Dr. Zaheeruddin Asif
Committee Member 1
Dr. Imran Ahmed Siddiqui, Examiner, University of Karachi, Karachi
Committee Member 2
Dr. Suleman Shahid, Examiner, LUMS, Lahore
Project Type
Dissertation
Access Type
Restricted Access
Keywords
decision support systems, human decision making, information systems, NeuroIS, recommender systems.
Subjects
Computer Science
Abstract
Human decision-making is a complex behavior. A replication of human decision making offers a potential to enhance the capacity of intelligent systems by providing additional user assistance in decision making. By reducing the effort and task complexity on behalf of the user, such replication would improve the overall user experience, and affect the degree of intelligence exhibited by the system. This study explores individuals' decision-making processes when using recommender systems, and its related outcomes. In this study, human decision-making (HDM) refers to the selection of an item from a given set of options that are shown as recommendations to a user. The goal of our study was to identify IS constructs that contribute towards such decision-making, thereby contributing towards creating a mental model of HDM. This was achieved through recording Electroencephalographic (EEG) readings of subjects while they performed a decision-making activity. Readings from 16 righthanded healthy avid readers reflect that reward, theory of mind, risk, calculation, task intention, emotion, sense of touch, ambiguity and decision making are the primary constructs that users employ while deciding from a given set of recommendations in an online bookstore. In all 10 distinct brain areas were identified. These brain areas that lead to their respective constructs were found to be cingulate gyrus, precentral gyrus, inferior parietal lobule, posterior cingulate, medial frontal gyrus, anterior cingulate, postcentral gyrus, superior frontal gyrus, inferior frontal gyrus, and middle frontal gyrus (also referred to as dorsolateral prefrontal gyrus (DLPFC)). The identified constructs would help in developing a design theory for enhancing user assistance, especially in the context of recommender systems.
Link to Catalog Record
https://ils.iba.edu.pk/cgi-bin/koha/opac-detail.pl?biblionumber=121252
Recommended Citation
Quazilbash, N. (2024). Human Decision Making in Recommender Systems (Unpublished doctoral dissertation). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/etd/94
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