Mary Fendley (Advisor), Yan Liu (Committee Member), Richard Warren (Committee Member)
Master of Science in Engineering (MSEgr)
Advances in automation have led to an increased prevalence of human multitasking in intelligence, surveillance, and reconnaissance operations. Despite advancements in computer-vision research, almost all video data collected must be processed by human analysts. Traditionally, analysts are plagued with the presence and possible overabundance of interruptions that fundamentally leads to multitasking while processing video data. It is currently unknown what factors influence decision making in completing primary tasks or handling interruptions. In this study, we investigated the performance effects and the resulting design implications of varying the number of concurrent prospective memory tasks and encoding of one large group of tasking information versus smaller, separate bits. Results indicate that working memory capacity significantly affects prospective memory performance and increasing concurrent targets degraded prospective memory performance. Target encoding format results failed to converge on a clear affect. This study demonstrates and highlights portions of the complex underlining mechanisms involved in human information processing and makes a case for the study and utility of prospective memory paradigms for human-machine interface design.e
Department or Program
Department of Biomedical, Industrial & Human Factors Engineering
Year Degree Awarded
Copyright 2014, some rights reserved. My ETD may be copied and distributed only for non-commercial purposes and may not be modified. All use must give me credit as the original author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.