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Taylor Murphy Dissertation.pdf (8.46 MB)

ETD Abstract Container

Abstract Header

Within Reach: The Contribution of Dynamic Viewpoint to the Perception of Remote Environments

Murphy, Taylor B
http://orcid.org/0000-0003-1957-2888
http://rave.ohiolink.edu/etdc/view?acc_num=osu1500466996274077

Abstract Details

2017, Doctor of Philosophy, Ohio State University, Industrial and Systems Engineering.
Remote sensor platforms, operating as part of a human sensor system, allow practitioners to extend their reach into remote environments normally inaccessible to humans and to substantially change the scale at which they work. Despite the utility these sensor platforms provide to domain practitioners, their operation remains difficult, slow, and error prone. Previous work has claimed these problems stem from the fact that currently available sensor platforms are not designed to work with the human operator as part of a larger perceptual system. As a result, operators struggle to understand the physical layout of the remote environment, and the opportunities for action in that environment. These clams are well founded from perceptual psychology, but have not yet received empirical verification. Additionally, research performed on human sensor system perception has not yet addressed the effects of viewpoint motion on perceptual performance. Both gaps in the human sensor system perception literature have been addressed in the current work. The three experiments performed to address these gaps extended previous research examining operators’ ability to judge the reachability of target objects in a remote environment. The first two experiments found that the human sensor system was well modeled using approaches from perceptual psychology. These results support the claims made in previous work, that sensor platforms operate as part of a larger perceptual system. The third experiment in the current work found that viewpoint motions that ii provides new perspectives onto a scene of interest significantly improved participants’ perceptual performance. These results provide the first empirical verification of Roesler (2005) and Morison (2010)’s Perspective Control model. Taken together the results from the current work have implications for the design and testing of future sensor platforms in order to overcome the challenges facing current generation platforms and improve their performance.
Michael Rayo (Advisor)
David Woods, D. (Committee Member)
Alexander Morison (Committee Member)
140 p.
Industrial Engineering; Psychology; Robots; Systems Design
sensor; perception; control; human-machine interaction; supervisory control; human-robot interaction; ecological perception; affordances; mediated perception;

Recommended Citations

Citations

  • Murphy, T. B. (2017). Within Reach: The Contribution of Dynamic Viewpoint to the Perception of Remote Environments [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500466996274077

    APA Style (7th edition)

  • Murphy, Taylor. Within Reach: The Contribution of Dynamic Viewpoint to the Perception of Remote Environments. 2017. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1500466996274077.

    MLA Style (8th edition)

  • Murphy, Taylor. "Within Reach: The Contribution of Dynamic Viewpoint to the Perception of Remote Environments." Doctoral dissertation, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500466996274077

    Chicago Manual of Style (17th edition)

osu1500466996274077
294
© 2017, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.