Chis, Maximilian
(2023)
Investigating the cognitive load - productivity tradeoff in multitasking.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Although multitasking is considered solely to negatively impact performance, the majority of analyses of multitasking have been doing in experimental settings where the tasks analyzed are of a non-interdependent nature. I argue that multitasking as it occurs in the workforce is a highly complex task which balances multiple competing needs of logistical efficiency, cognitive load, and minimizaton of idle time. I examine this model of multitasking in the context of study 3 of the Artificial Social Intelligence for Successful Teams (ASIST) program, funded by the Defense Advanced Research Project Agency (DARPA). Though the study was not designed with multitasking in mind and thus has a number of confounds, enough evidence exists to suggest a number of probable reasons for the persistence of multitasking in modern life and the multiple "task axes" on which multitasking can occur.
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Details
Item Type: |
University of Pittsburgh ETD
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Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
Title | Member | Email Address | Pitt Username | ORCID |
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Thesis Advisor | Lewis, Michael | cmlewis@pitt.edu | | | Committee Member | Du, Na | nad136@pitt.edu | | | Committee Member | Lebiere, Christian | | | |
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Date: |
17 August 2023 |
Date Type: |
Publication |
Defense Date: |
7 December 2022 |
Approval Date: |
17 August 2023 |
Submission Date: |
15 December 2022 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Number of Pages: |
91 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Computing and Information > Information Science |
Degree: |
MSIS - Master of Science in Information Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
Artificial Intelligence Cognitive Modeling |
Date Deposited: |
17 Aug 2023 17:34 |
Last Modified: |
17 Aug 2023 17:34 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/44036 |
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