Top

International Journal of Social Robotics

Published in:

01-08-2014

Manipulating Mental States Through Physical Action

A Self-as-Simulator Approach to Choosing Physical Actions Based on Mental State Outcomes

Authors: Jesse Gray, Cynthia Breazeal

Published in: International Journal of Social Robotics | Issue 3/2014

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

We present our implementation of a self-as-simulator architecture for mental state manipulation through physical action. The robot attempts to model how a human’s mental states are updated through their visual perception of the world around them. This modeling, combined with geometrically detailed, perspective correct simulations of the immediate future, allows the robot to choose actions which influence the human’s mental states through their visual perception. The system is demonstrated in a competitive game scenario, where the robot attempts to manipulate the mental states of an individual in order to win. We evaluate participants’ reaction to the system, focusing on their perception of a robot with mental state manipulation capabilities.

previous article When Robots Engage Humans

next article Empathic Robots for Long-term Interaction

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Available only for authorised users

Blumberg B, Downie M, Ivanov Y, Berlin M, Johnson MP, Tomlinson B (2002) Integrated learning for interactive synthetic characters. ACM Transactions on Graphics, vol. 21, no. 3. In: Proceedings of ACM SIGGRAPH 2002

Breazeal C, Buchsbaum D, Gray J, Blumberg B (2005) Learning from and about others: toward using imitation to bootstrap the social competence of robots. Artif Life 11:31–62CrossRef

Breazeal C, Gray J, Berlin M (2009) An embodied cognition approach to mindreading skills for socially intelligent robots. Int J Robot Res (IJHR-09) 28(5):656CrossRef

Burke R, Isla D, Downie M, Ivanov Y, Blumberg B (2001) CreatureSmarts: the art and architecture of a virtual brain. In: Proceedings of the game developers conference, San Jose, pp 147–166

Cassimatis NL, Murugesan A, Bignoli PG (2009) Reasoning as simulation. Cognit Process 10(4):343–353CrossRef

Ettinger D, Jehiel P (2010) A theory of deception. Am Econ J 2(1):1–20

Goodman ND, Stuhlmueller A (2013) Knowledge and implicature: modeling language understanding as social cognition. Top Cognit Sci 5:173–184CrossRef

Gray J, Berlin M, Cynthia B (2007) Intention recognition with divergent beliefs for collaborative robots. In: Society for the study of artificial intelligence and simulation of behaviour (AISB-07)

Gray J, Breazeal C, Berlin M, Brooks A, Lieberman J (2005) Action parsing and goal inference using self as simulator. In: 14th IEEE international workshop on robot and human interactive communication (ROMAN), Nashville, TN

10.

Gray J, Hoffman G, Adalgeirsson SO, Berlin M, Breazeal C (2010) Expressive, interactive robots: tools, techniques, and insights based on collaborations. In: HRI 2010 workshop: what do collaborations with the arts have to say about HRI?

11.

Johnson M, Demiris Y (2005) Perceptual perspective taking and action recognition. Int J Adv Robot Syst 2(4):301–308

12.

Kelley R, Tavakkoli A, King C, Nicolescu M, Nicolescu M, Bebis G (2008) Understanding human intentions via hidden markov models in autonomous mobile robots. In: Proceedings of the 3rd international conference on human robot interaction, pp 367–374

13.

Kennedy W, Bugajska M, Harrison A, Trafton J (2009) “Like-me” simulation as an effective and cognitively plausible basis for social robotics. Int J Soc Robot 1(2):181–194CrossRef

14.

Kennedy WG, Bugajska MD, Marge M, Adams W, Fransen BR, Perzanowski D, Schultz AC, Trafton JG (2007) Spatial representation and reasoning for human–robot collaboration, vol 7. In: AAAI, pp 1554–1559

15.

Komatsu T, Kurosawa R, Yamada S (2012) How does the difference between users’ expectations and perceptions about a robotic agent affect their behavior? Int J Soc Robot 4(2):109–116CrossRef

16.

Laird JE (2001) It knows what you’re going to do: adding anticipation to a quakebot. In: AGENTS ’01: proceedings of the fifth international conference on autonomous agents. ACM Press, New York, pp 385–392

17.

Marsella SC, and Pynadath DV (2005) Modeling influence and theory of mind. In: Artificial intelligence and the simulation of behavior

18.

Meltzoff AN (1995) Understanding the intentions of others: re-enactment of intended acts by 18-month-old children. Dev Psychol 31:838–850CrossRef

19.

Pandey AK, Ali M, Alami R (2013) Towards a task-aware proactive sociable robot based on multi-state perspective-taking. Int J Soc Robot 5(2):215–236

20.

Rizzolatti G, Fadiga L, Gallese V, Fogassi L (1996) Premotor cortex and the recognition of motor actions. Cognit Brain Res 3:131–141CrossRef

21.

Short E, Hart J, Vu M, Scassellati B (2010) No fair!! an interaction with a cheating robot. In: Human–robot interaction (HRI), 2010 5th ACM/IEEE international conference on, pp 219–226

22.

Trafton G, Hiatt L, Harrison A, Tamborello F, Khemlani S, Schultz A (2013) Act-r/e: an embodied cognitive architecture for human–robot interaction. J Hum Robot Interact 2(1):30–55

23.

Trafton J, Schultz A, Perznowski D, Bugajska M, Adams W, Cassimatis N, Brock D (2006) Children and robots learning to play hide and seek. In: Proceedings of the 1st ACM SIGCHI/SIGART conference on human–robot interaction. ACM, Salt Lake City, pp 242–249

24.

Trafton JG, Cassimatis NL, Bugajska MD, Brock DP, Mintz FE, Schultz AC (2005) Enabling effective human-robot interaction using perspective-taking in robots. IEEE Trans Syst Man Cybern 35(4):460–470CrossRef

25.

Wagner AR, Arkin RC (2011) Acting deceptively: providing robots with the capacity for deception. Int J Soc Robot 3(1):5–26CrossRef

26.

Wellman H, Cross D, Watson J (2001) Meta-analysis of theory-of-mind development: the truth about false belief. Child Dev 72(3):655–684CrossRef

27.

Wimmer H, Perner J (1983) Beliefs about beliefs: representation and constraining function on wrong beliefs in young children’s understanding of deception. Cognition 13:103–128CrossRef

Title: Manipulating Mental States Through Physical Action
A Self-as-Simulator Approach to Choosing Physical Actions Based on Mental State Outcomes
Authors: Jesse Gray
Cynthia Breazeal
Publication date: 01-08-2014
Publisher: Springer Netherlands
Published in: International Journal of Social Robotics / Issue 3/2014
Print ISSN: 1875-4791
Electronic ISSN: 1875-4805
DOI: https://doi.org/10.1007/s12369-014-0234-2

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Other articles of this Issue 3/2014

Keep an Eye on the Task! How Gender Typicality of Tasks Influence Human–Robot Interactions

Empathic Robots for Long-term Interaction

How Robots Can Affect Human Behavior: Investigating the Effects of Robotic Displays of Protest and Distress

When Robots Engage Humans

Acceptability of a Teleoperated Android by Senior Citizens in Danish Society

Implications of Robot Actions for Human Perception. How Do We Represent Actions of the Observed Robots?

Premium Partners