| Title | Evaluating Robot Behavior in Response to Natural Language |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Moolchandani, Pooja, Hayes, Cory J., Marge, Matthew |
| Conference Name | Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5615-2 |
| Keywords | Automated Response Actions, composability, human-robot interaction, natural language, pubcrawl, Resiliency, robot navigation |
| Abstract | Human-robot teaming can be improved if a robot>>s actions meet human users>> expectations. The goal of this research is to determine what variations of robot actions in response to natural language match human judges>> expectations in a series of tasks. We conducted a study with 21 volunteers that analyzed how a virtual robot behaved when executing eight navigation instructions from a corpus of human-robot dialogue. Initial findings suggest that movement more accurately meets human expectation when the robot (1) navigates with an awareness of its environment and (2) demonstrates a sense of self-safety. |
| URL | http://doi.acm.org/10.1145/3173386.3177062 |
| DOI | 10.1145/3173386.3177062 |
| Citation Key | moolchandani_evaluating_2018 |
Evaluating Robot Behavior in Response to Natural Language