Effects of Appearance and Functions on Likability and Perceived Occupational Suitability of Robots

Abstract

This article reports three experiments that examined the association between (a) appearances and perceived capabilities of robots, (b) appearance and capabilities of robots and liking for the robots, and (c) perceived capabilities of robots and judgments concerning their suitability for different occupations. In Experiment 1, the authors found that participants perceived human- and animal-like robots to have relatively more warmth-related (e.g., emotion) capabilities than machinelike robots have. In Experiment 2, the authors found that liking for robots was not affected by their human likeness or their having warmth or competence capabilities. In Experiment 3, participants generally thought that robots should have information-processing and communication capabilities more than sensory and emotion capabilities. More interestingly, participants considered robots with different capabilities to be suitable for different occupations, preferring robots with emotion capabilities more in occupations that require frequent interactions with humans than in occupations that do not.

Keywords

human-robot interaction mental models attitude

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References

Aaker

Vohs

K. D.

Mogilner

(2010). Non-profits are seen as warm and for-profits as competent: Firm stereotypes matter. Journal of Consumer Research, 37, 277–291.

Bartneck

Kanda

Mubin

Al Mahmud

(2009). Does the design of a robot influence its animacy and perceived intelligence? International Journal of Social Robotics, 1, 195–204.

Carey

Markoff

(2010, July 10). Students, meet your new teacher, Mr. Robot. The New York Times. Retrieved from http://www.nytimes.com/2010/07/11/science/11robots.html?_r=1&emc=eta1

Christensen

H. I.

Pacchierotti

(2005). Embodied social interaction for robots. In Proceedings of the AISB Symposium on Robot Companions: Hard problems and open challenges in human-robot interaction (pp. 40–45). Hatfield, Herfordshire: The Society for the Study of Artificial Intelligence and the Simulation of Behaviour.

Epley

Waytz

Cacioppo

J. T.

(2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114, 864–886.

Fiske

S. T.

Cuddy

A. J. C.

Glick

(2002). A model of (often mixed) stereotype content: Competence and warmth respectively follow from status and competition. Journal of Personality and Social Psychology, 82, 878–902.

Goetz

Kiesler

Powers

(2003). Matching robot appearance and behavior to tasks to improve human-robot cooperation. In Proceedings of the 12th IEEE International Workshop on Robot and Human Interactive Communication (ROMAN 2003) (pp. 55–60). Los Alamitos, CA: IEEE.

Higgins

E. T.

(1996). Knowledge activation: Accessibility, applicability, and salience. In Higgins

E. T.

Kruglanski

A. W.

(Eds.), Social psychology: Handbook of basic principles (pp. 133–168). New York, NY: Guilford Press.

Kulic

Croft

(2005). Anxiety detection during human-robot interaction. In Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005) (pp. 616–621). Los Alamitos, CA: IEEE.

10.

MacDorman

K. F.

(2006). Subjective ratings of robot video clips for human likeness, familiarity, and eeriness: An exploration of the uncanny valley. In Proceedings of the ICCS/CogSci-2006 Long Symposium: Toward social mechanisms of android science (pp. 26–29). (Publisher unknown)

11.

Nomura

Suzuki

Kanda

Kato

(2006). Measurement of anxiety toward robots. In Proceedings of the 15th IEEE International Symposium on Robot and Human Interactive Communication (ROMAN 2006) (pp. 372–377). Los Alamitos, CA: IEEE.

12.

Powers

Kiesler

(2006). The advisor robot: Tracing people’s mental model from a robot’s physical attributes. In Proceedings of the ACM SIGCHI/SIGART 2nd Conference on Human Robot Interaction 2006 (pp. 218–225). New York, NY: ACM Press.

13.

Roesch

(2010). Multivariate analysis of variance (MANOVA). Retrieved from http://www.psychology.sdsu.edu/new-web/FacultyLabs/Roesch/Lecture4_MANOVA.ppt .

14.

Scopelliti

Giuliani

M. V.

Fornara

(2005). Robots in a domestic setting: A psychological approach. Universal Access in the Information Society, 4, 146–155.

15.

Tabachnick

B. G.

Fidell

L. S.

(2007). Using multivariate statistics. Boston, MA: Pearson Education.

16.

Torrey

Powers

Marge

Fussell

S. R.

Kiesler

(2006). Effects of adaptive robot dialogue on information exchange and social relations. In Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human Robot Interaction 2006 (pp. 126–133). London, UK: ACM Press.

17.

U.S. Bureau of Labor Statistics. (1999). Revising the Standard Occupational Classification System (Report 929). Retrieved from http://www.bls.gov/soc/socrpt929.pdf

18.

Young

J. E.

Hawkins

Sharlin

Igarashi

(2009). Toward acceptable domestic robots: Applying insights from social psychology. International Journal on Social Robotics, 1, 95–108.