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STB: Child-Dependent Sociable Trash Box

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Abstract

In this paper, we explore the effective social cues, behaviors, and potential interactive spaces (the proxemics) in the approach of a child-dependent robot. The proposed social trash box (STB) robot uses the above interactive social cues and vocal interactions to build a social coupling with children in order to induce their assistance in the collection of trash. We discuss the minimalist design of mechanism for the STB, as well as the effectiveness of the above factors, through an experiment which is conducted in a child-centric environment. A model-based unsupervised approach is proposed to elicit the proxemic information (interactive spaces) by considering the dynamic (i.e., the interactive distance and duration of interactions) interaction of the children.

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References

  1. Adams JA (2005) Human-robot interaction design: Understanding user needs and requirements. In: Human factors and ergonomics society 49th annual meeting

    Google Scholar 

  2. Breazeal C (2003) Toward sociable robots. Robot Auton Syst 42(3–4):167–175

    Article  MATH  Google Scholar 

  3. Breazeal C, Takanishi A, Kobayashi T (2008) Social robots that interact with people. In: Springer handbook of robotics. Springer, Berlin, pp 1349–1369

    Chapter  Google Scholar 

  4. Crandall JW, Goodrich MA (2002) Principles of adjustable interactions. In: 2002 AAAI fall symposium human-robot interaction workshop

    Google Scholar 

  5. Feil-Seifer DJ, Matarić MJ (2011) Ethical principles for socially assistive robotics. IEEE Robot Autom Mag 18(1):24–31

    Article  Google Scholar 

  6. Feil-Seifer D, Skinner K, Matarić MJ (2007) Benchmarks for evaluating socially assistive robotics. Interact Stud 8:423–429

    Google Scholar 

  7. Fong T, Nourbakhsh IR (2003) Socially interactive robots. Robot Auton Syst 42(3–4):139–141

    Article  MATH  Google Scholar 

  8. Gillespie DL, Leffler A (1983) Theories of non-verbal behavior: a critical review of proxemics research. Soc Theory 1:120–154

    Article  Google Scholar 

  9. Hall ET (1990) The hidden dimension. Anchor, Peterborough

    Google Scholar 

  10. Hall ET (1974) Handbook for proxemics research. Society for the Anthropology of Visual Communication

    Google Scholar 

  11. Harrigan JA, Rosenthal R, Scherer KR (2005) Proxemics, kinesics, and gaze

  12. Hoffman G, Breazeal C (2008) Anticipatory perceptual simulation for human-robot joint practice: theory and application study. In: AAAI, pp 1357–1362

    Google Scholar 

  13. Kado Y, Kamoda T, Yoshiike Y, Silva PRD, Okada M (2010) Sociable dining table: the effectiveness of a “konkon” interface for reciprocal adaptation. In: HRI, pp 105–106

    Chapter  Google Scholar 

  14. Kinzer K (2009) Tweenbots. http://www.tweenbots.com/, ITP

  15. Lim G, Suh I (2010) Robust robot knowledge instantiation for intelligent service robots. Intell Serv Robot. doi:10.1007/s11370-010-0063-6

    Google Scholar 

  16. Nomura T, Shintani T, Fujii K, Hokabe K (2007) Experimental investigation of relationships between anxiety, negative attitudes, and allowable distance of robots. In: Proceedings of the second IASTED international conference on human computer interaction. ACTA Press, Calgary, pp 13–18

    Google Scholar 

  17. Okada M, Sakamoto S, Suzuki N (2000) Muu: artificial creatures as an embodied interface. In: 27th international conference on computer graphics and interactive techniques (SIGGRAPH 2000), the emerging technologies: point of departure

    Google Scholar 

  18. Pollack ME (2005) Intelligent technology for an aging population: the use of AI to assist elders with cognitive impairment. AI Mag 26(2):9–24

    Google Scholar 

  19. Redner RA, Walker HF (1984) Mixture densities, maximum likelihood and the em algorithm. SIAM Rev 26:195–239

    Article  MathSciNet  MATH  Google Scholar 

  20. Schweitzer G (2003) Robotics-chances and challenges of a key science. In: 17th International congress of mechanical engineering (COM03). University of Cambridge, Cambridge

    Google Scholar 

  21. Severinson Eklundh K, Green A, Hüttenrauch H (2003) Social and collaborative aspects of interaction with a service robot. Robot Auton Syst 42(3–4):223–234

    Article  MATH  Google Scholar 

  22. Silva RSD, Tadano K, Saito A, Lambacher SG, Higashi M (2009) Therapeutic-assisted robot for children with autism. In: IEEE/RSJ international conference on intelligent robots and systems, pp 3561–3567

    Google Scholar 

  23. Skinner BF (1965) Science and human behavior. Free Press, Skinner Foundation, New York

    Google Scholar 

  24. Stratton LO, Tekippe DJ, Flick GL (1973) Personal space and self concept. Sociometry 424–429

  25. van Oosterhout T, Visser A (2008) A visual method for robot proxemics measurements. In: Proceedings of metrics for human-robot interaction: a workshop at the third ACM/IEEE international conference on human-robot interaction (HRI08), pp 61–68

    Google Scholar 

  26. Walters M, Koay KL, Woods SN, Syrdal DS, Dautenhahn K (2007) Robot to human approaches: comfortable distances and preferences. In: AAAI spring symposium on multidisciplinary collaboration for socially assistive robotics (AAAI SS07-2007), pp 61–68

    Google Scholar 

  27. Walters ML, Dautenhahn K, Koay KL, Kaouri C, Boekhorst RT, Nehaniv C, Werry I, Lee D (2005) Close encounters: spatial distances between people and a robot of mechanistic appearance. In: Proceedings of the IEEE-RAS international conference on humanoid robots, pp 450–455

    Chapter  Google Scholar 

  28. Wang A (2006) Physically animated desktop computer for ergonomic & affective movement. Master Thesis, MIT

  29. Weng Y-H, Chen C-H, Sun C-T (2007) The legal crisis of next generation robots: on safety intelligence. In: ICAIL ’07: proceedings of the 11th international conference on artificial intelligence and law, New York, NY, USA. ACM Press, New York, pp 205–209

    Chapter  Google Scholar 

  30. Wilkes D, Alford A, Pack R, Rogers T, Peters RA, Kawamura K (1998) Toward socially intelligent service robots. Appl Artif Intell 12(8–9):729–766

    Article  Google Scholar 

  31. Yamaoka F, Kanda T, Ishiguro H, Hagita N (2009) Developing a model of robot behavior to identify and appropriately respond to implicit attention-shifting. In: Proceedings of the 4th ACM/IEEE international conference on human robot interaction, HRI ’09. ACM Press, New York, pp 133–140

    Chapter  Google Scholar 

  32. Yoshiike Y, Silva PRD, Okada M (2010) Cues for sociable pc: coordinate and synchronize its cues based on user attention and activities on display. In: HRI, pp 135–136

    Chapter  Google Scholar 

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Correspondence to P. Ravindra S. De Silva.

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Yamaji, Y., Miyake, T., Yoshiike, Y. et al. STB: Child-Dependent Sociable Trash Box. Int J of Soc Robotics 3, 359–370 (2011). https://doi.org/10.1007/s12369-011-0114-y

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  • DOI: https://doi.org/10.1007/s12369-011-0114-y

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