Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
Displaying 1 - 2 of 2
Filtering by
- All Subjects: robotics
- Creators: Craig, Scotty
Description
The current study aims to explore factors affecting trust in human-drone collaboration. A current gap exists in research surrounding civilian drone use and the role of trust in human-drone interaction and collaboration. Specifically, existing research lacks an explanation of the relationship between drone pilot experience, trust, and trust-related behaviors as well as other factors. Using two dimensions of trust in human-automation team—purpose and performance—the effects of experience on drone design and trust is studied to explore factors that may contribute to such a model. An online survey was conducted to examine civilian drone operators’ experience, familiarity, expertise, and trust in commercially available drones. It was predicted that factors of prior experience (familiarity, self-reported expertise) would have a significant effect on trust in drones. The choice to use or exclude the drone propellers in a search-and-identify scenario, paired with the pilots’ experience with drones, would further confirm the relevance of the trust dimensions of purpose versus performance in the human-drone relationship. If the pilot has a positive sense of purpose and benevolence with the drone, the pilot trusts the drone has a positive intent towards them and the task. If the pilot has trust in the performance of the drone, they ascertain that the drone has the skill to do the task. The researcher found no significant differences between mean trust scores across levels of familiarity, but did find some interaction between self-report expertise, familiarity, and trust. Future research should further explore more concrete measures of situational participant factors such as self-confidence and expertise to understand their role in civilian pilots’ trust in their drone.
ContributorsNiichel, Madeline Kathleen (Author) / Chiou, Erin (Thesis advisor) / Cooke, Nancy J. (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2019
Description
This is a report on an experiment that examines if the principles of multimedia learning outlined in Richard E. Mayer’s journal article, “Using multimedia for e-learning”, located in the Journal of Computer Assisted Learning would apply to haptic feedback used for haptic robotic operation. This was tested by developing and using a haptic robotic manipulator known as the Haptic Testbed (HTB). The HTB is a manipulator designed to emulate human hand movement for haptic testing purposes and features an index finger and thumb for the right hand. Control is conducted through a Leap Motion Controller, a visual sensor that uses infrared lights and cameras to gather various data about hands it can see. The goal of the experiment was to have test subjects complete a task where they shifted objects along a circuit of positions where they were measured on time to complete the circuit as well as accuracy in reaching the individual points. Analysis of subject responses to surveys as well as performance during the experiment showed haptic feedback during training improving initial performance of individuals as well as lowering mental effort and mental demand during said training. The findings of this experiment showed support for the hypothesis that Mayer’s principles do apply to haptic feedback in training for haptic robotic manipulation. One of the implications of this experiment would be the possibility for haptics and tactile senses to be an applicable sense for Mayer’s principles of multimedia learning as most of the current work in the field is mostly focused on visual or auditory senses. If the results of the experiment were replicated in a future experiment it would provide support to the hypothesis that the principles of multimedia learning can be utilized to improve the training of haptic robotic operation.
ContributorsGiam, Connor Dallas (Author) / Craig, Scotty (Thesis director) / Sodemann, Angela (Committee member) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05