Structured and Unstructured Speech2Action Frameworks for Human-Robot
Collaboration: A User Study
Abstract
This research delves into user preferences concerning structured (the
subject follows an exact script to command the robot) and unstructured
(the subject commands the robot in a conversational way) robot
interaction through natural spoken language. Data was gathered from 30
adult participants who completed two distinct tasks involving both
structured and unstructured commands. The study examines correlations
between robot errors and user perceptions, as well as how past or
present failures impact participants’ perception of robot utility. Three
hypotheses are formulated, and the paper offers a comprehensive overview
of the study’s aims, methodologies, and principal findings, which were
ascertained using paired t-Test and Kendall-Tau correlations. The study
indicates that participants showed a preference for the unstructured
task in contrast to the structured one. Analysis of the data revealed
interesting correlations between the user perception of the robot and
the robot errors.
This work has been submitted to the IEEE for possible publication.
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