This thesis aims at real-time measurements of human trust, satisfaction, and
frustration in human-robot teaming. Recent studies suggest that humans are inclined
to have a negative attitude towards using autonomous systems. These ndings elevate
the necessity of conducting research to better understand the key factors that a ect
the levels of trust, satisfaction and frustration in Human-Robot Interaction (HRI).
We utilized a new sequential and collaborative approach for HRI data collection that
employed trust, satisfaction and frustration as primarily evaluative metrics. We also
used haptic feedback through a soft actuator armband to help our human subjects
control a robotic hand for grabbing or not grabbing an object during our interaction
scenarios. Three experimental studies were conducted during our research of which
the rst was related to the evaluation of aforementioned metrics through a collabora-
tive approach between the Baxter robot and human subjects. The second experiment
embodied the evaluation of a newly fabricated 3D- nger for the I-Limb robotic hand
through a nuclear-waste glove. The third experiment was based on the two previous
studies that focused on real-time measurements of trust, satisfaction and frustration
in human-robot teaming with the addition of pressure feedback to the system through soft actuators. In the last case, human subjects had more controls over our robotic
systems compared to earlier experiments leading to a more collaborative interaction
and teaming. The results of these experiments illustrated that human subjects can
rebuild their trust and also increase their satisfaction levels while lowering their frus-
tration levels after failures or any faulty behavior. Furthermore, our analyses showed
that our methods are highly e ective for collecting honest and genuine data from hu-
man subjects and lays the foundation for more-involved future research in the domain
of human-robot teaming. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2018. / FAU Electronic Theses and Dissertations Collection
| Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_40720 |
| Contributors | Gonzalez Moya, Iker Javier (author), Nojoumian, Mehrdad (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science |
| Publisher | Florida Atlantic University |
| Source Sets | Florida Atlantic University |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation, Text |
| Format | 85 p., application/pdf |
| Rights | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
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