Meta analysis of the usage of the Godspeed Questionnaire Series

Astrid Weiss · Christoph Bartneck

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Social Robot Interaction and HRI Innovative Human-Technology Interaction AI in Service Interactions

Abstract

Standardized metrics for assessing the success of robots is a necessity for a research field to compare and validate results. The Godspeed Questionnaire Series (GQS) is one of the most frequently used questionnaires in the field of Human-Robot Interaction (HRI) with over 160 citations as of October 2014. In this paper, we present a meta analysis of studies that used the GQS. The HRI community uses a large variety of robotic platforms and only the NAO robot seems to be used by multiple research groups. A qualitative meta analysis of 18 NAO studies reveals accumulated findings on perceived intelligence, likability, and anthropomorphism, but also reveals contradictions on how the robot's behaviour and task context impact GQS ratings. The paper closes with a reflection on how added value of data analysis and presentation could be achieved for the HRI community in future.

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References

2008Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots 2007Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar 2006Common metrics for human-robot interaction 2010Making sense by making sentient: Effectance motivation increases anthropomorphism.2005Experimental investigation into influence of negative attitudes toward robots on human–robot interaction 2013Exploring influencing variables for the acceptance of social robots 2010Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices 1991Rating Scales: Numeric Values May Change the Meaning of Scale Labels

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2018Stereotypes or golden rules? Exploring likable voice traits of social robots as active aging companions for tech-savvy baby boomers in Taiwan 2023Godspeed Questionnaire Series: Translations and Usage 2019Social robots: The influence of human and robot characteristics on acceptance 2022Human-Like Robots and the Uncanny Valley

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