What Am I? Evaluating the Effect of Language Fluency and Task Competency on the Perception of a Social Robot
Shahira Ali, Haley N. Green, Tariq Iqbal

TL;DR
This study investigates how language fluency and task competency influence human perceptions of social robots, revealing that fluency impacts perceived verbal skill while both factors affect perceived intelligence and reliability.
Contribution
It provides the first large-scale analysis of the combined effects of language fluency and task competency on social robot perception.
Findings
Language fluency significantly affects perceived verbal competency.
Both capabilities influence perceptions of intelligence and reliability.
Task competency more strongly impacts perceptions of meeting expectations and teamwork.
Abstract
Recent advancements in robot capabilities have enabled them to interact with people in various human-social environments (HSEs). In many of these environments, the perception of the robot often depends on its capabilities, e.g., task competency, language fluency, etc. To enable fluent human-robot interaction (HRI) in HSEs, it is crucial to understand the impact of these capabilities on the perception of the robot. Although many works have investigated the effects of various robot capabilities on the robot's perception separately, in this paper, we present a large-scale HRI study (n = 60) to investigate the combined impact of both language fluency and task competency on the perception of a robot. The results suggest that while language fluency may play a more significant role than task competency in the perception of the verbal competency of a robot, both language fluency and task…
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Taxonomy
TopicsSocial Robot Interaction and HRI · Robotics and Automated Systems · AI in Service Interactions
