Research: Pathmapping


I have conducted research on a number of projects involving spatial reasoning, visual or physical search, and measuring path deviations. Some of these projects include:


Depition of some path alignment problems

In a number of fields of behavioral science, it is important to be able to take a path created by one person or entity, and compare it quantitatively to another–regardless of the timing of the path or how many segments the path is represented as. The ALCAMP algorithm was developed to use an optimization approach to measure the difference (in terms of area) between two paths. In the figure on the right, you see some of the particular issues that must be solved in order to accomplish this.


Perelman, Brandon S; Mueller, Shane T; Schaefer, Kristin E

Evaluating path planning in human-robot teams: Quantifying path agreement and mental model congruency Inproceedings

Cognitive and Computational Aspects of Situation Management (CogSIMA), 2017 IEEE Conference on, pp. 1–7, IEEE 2017.

Links | BibTeX


Mueller, Shane T; Perelman, Brandon S; Veinott, Elizabeth S

An optimization approach for mapping and measuring the divergence and correspondence between paths Journal Article

Behavior research methods, 48 (1), pp. 53–71, 2016, ISSN: 1554-3528.

Links | BibTeX


Perelman, Brandon S; Mueller, Shane T

Identifying mental models of search in a simulated flight task using a pathmapping approach Conference

International Symposium on Aviation Psychology, 2015.