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Robots, Pancakes, and Computer Games: Designing Serious Games for Robot Imitation Learning

Published: 18 April 2015 Publication History

Abstract

Autonomous manipulation robots can be valuable aids as interactive agents in the home, yet it has proven extremely difficult to program their behavior. Imitation learning uses data on human demonstrations to build behavioral models for robots. In order to cover a wide range of action strategies, data from many individuals is needed. Acquiring such large amounts of data can be a challenge. Tools for data capturing in this domain must thus implement a good user experience. We propose to use human computation games in order to gather data on human manual behavior. We demonstrate the idea with a strategy game that is operated via a natural user interface. A comparison between using the game for action execution and demonstrating actions in a virtual environment shows that people interact longer and have a better experience when playing the game.

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References

[1]
Aras, H., Krause, M., Haller, A., & Malaka, R. (2010). Webpardy: Harvesting QA by HC. In Proc. HCOMP 2010, (pp. 49--52). ACM.
[2]
Argall, B. D., Chernova, S., Veloso, M., & Browning, B. (2009). A survey of robot learning from demonstration. Robotics and Autonomous Systems, 57(5), 469--483.
[3]
Beetz, M., Klank, U., Kresse, I., Maldonado, A., Mosenlechner, L., Pangercic, D., Ruhr, T., & Tenorth, M. (2011). Robotic roommates making pancakes. In Proc. Humanoids 2011, (pp. 529--536). IEEE.
[4]
Billard, A., Calinon, S., Dillmann, R., & Schaal, S. (2008). Robot programming by demonstration. In B. Siciliano, & O. Khatib (Eds.) Springer Handbook of Robotics, chap. 60, (pp. 1371--1394). Springer.
[5]
Bollini, M., Tellex, S., Thompson, T., Roy, N., & Rus, D. (2013). Interpreting and executing recipes with a cooking robot. In J. P. Desai, G. Dudek, O. Khatib, & V. Kumar (Eds.) Experimental Robotics, vol. 88 of Springer Tracts in Advanced Robotics, (pp. 481--495). Springer.
[6]
Bonetta, L. (2009). New citizens for the life sciences. Cell, 138(6), 1043--1045.
[7]
Bowman, D. A., Kruijff, E., LaViola, J. J., & Poupyrev, I. (2004). 3D User Interfaces: Theory and Practice. Addison-Wesley.
[8]
Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining "gamification". In Proc MindTrek 2011, (pp. 9--15). New York, NY, USA: ACM.
[9]
Flatla, D. R., Gutwin, C., Nacke, L. E., Bateman, S., & Mandryk, R. L. (2011). Calibration games: Making calibration tasks enjoyable by adding motivating game elements. In Proc. UIST 2011, (pp. 403--412). ACM.
[10]
Forbes, M., Chung, M. J., Cakmak, M., & Rao, R. P. N. (2014). Robot programming by demonstration with crowdsourced action fixes. In Proc. HCOMP 2014, (pp. 67--76). AAAI Press.
[11]
Haidu, A., Kohlsdorf, D., & Beetz, M. (2014). Learning task outcome prediction for robot control from interactive environments. In Proc. Intelligent Robots and Systems. IEEE/RSJ.
[12]
Hunicke, R., LeBlanc, M., & Zubek, R. (2004). MDA: A formal approach to game design and game research. In D. Fu, S. Henke, & J. Orkin (Eds.) AAAI Workshop Challenges in Game Artificial Intelligence. AAAI Press.
[13]
Kanda, T., Ishiguro, H., Imai, M., & Ono, T. (2004). Development and evaluation of interactive humanoid robots. Proceedings of the IEEE, 92(11), 1839--1850.
[14]
Krause, M., & Smeddinck, J. (2012). Human Computation: A New Aspect of Serious Games., (pp. 1027--1047). In Handbook of Research on Serious Games as Educational, Business and Research Tools: Development and Design. IGI Global.
[15]
Krause, M., Takhtamysheva, A., Wittstock, M., & Malaka, R. (2010). Frontiers of a paradigm: Exploring human computation with digital games. In Proc HCOMP 10, (pp. 22--25). ACM.
[16]
Kunze, L., Haidu, A., & Beetz, M. (2013). Acquiring task models for imitation learning through games with a purpose. In Proc. IROS, 2013, (pp. 102--107). IEEE.
[17]
Leap Motion, Inc. http://leapmotion.com (last visited on 2015-01-07).
[18]
Matyas, S., Matyas, C., Schlieder, C., Kiefer, P., Mitarai, H., & Kamata, M. (2008). Designing locationbased mobile games with a purpose: Collecting geospatial data with CityExplorer. In Proc. ACE 2008, (pp. 244--247). ACM.
[19]
McCarthy, J. (1968). Programs with common sense. In Semantic Information Processing, vol. 1, (pp. 403--418).
[20]
Pollard, N. S., Hodgins, J. K., Riley, M. J., & Atkeson, C. G. (2002). Adapting human motion for the control of a humanoid robot. In Proc. ICRA 2002, vol. 2, (pp. 1390--1397). IEEE.
[21]
Quinn, A. J., & Bederson, B. B. (2011). Human computation: A survey and taxonomy of a growing field. In Proc. CHI 2011, (pp. 1403--1412). ACM.
[22]
Ryan, R. M., Rigby, C. S., & Przybylski, A. (2006). The motivational pull of video games: A Self-Determination theory approach. Motivation and Emotion, 30(4), 344--360.
[23]
Schaal, S. (1999). Is imitation learning the route to humanoid robots? Trends in Cognitive Sciences, 3(6), 233--242.
[24]
Shamsuddin, S., Ismail, L. I., Yussof, H., Ismarrubie Zahari, N., Bahari, S., Hashim, H., & Jaffar, A. (2011). Humanoid robot NAO: Review of control and motion exploration. In Proc. ICCSCE, (pp. 511--516). IEEE.
[25]
Toris, R., Kent, D., & Chernova, S. (2014). The robot management system: A framework for conducting Human-Robot interaction studies through crowdsourcing. Journal of Human-Robot Interaction, 3(2), 25+.
[26]
Tuite, K., Snavely, N., Hsiao, D. Y., Smith, A. M., & Popović, Z. (2010). Reconstructing the world in 3D: Bringing games with a purpose outdoors. In Proc. FDG 2010, (pp. 232--239). ACM.
[27]
von Ahn, L., & Dabbish, L. (2008). Designing games with a purpose. Commun. ACM, 51(8), 58--67.
[28]
Yuen, M.-C., Chen, L.-J., & King, I. (2009). A survey of human computation systems. In Proc. CSE, vol. 4, (pp. 723--728). Los Alamitos, CA, USA: IEEE.

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cover image ACM Conferences
CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
April 2015
4290 pages
ISBN:9781450331456
DOI:10.1145/2702123
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 18 April 2015

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Author Tags

  1. human computation games
  2. programming by demonstration

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CHI '15
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CHI '15: CHI Conference on Human Factors in Computing Systems
April 18 - 23, 2015
Seoul, Republic of Korea

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CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

View all
  • (2024)Self-Determination Theory and HCI Games Research: Unfulfilled Promises and Unquestioned ParadigmsACM Transactions on Computer-Human Interaction10.1145/367323031:3(1-74)Online publication date: 15-Jun-2024
  • (2022)Gamification and the Internet of Things in EducationHandbook on Intelligent Techniques in the Educational Process10.1007/978-3-031-04662-9_15(317-339)Online publication date: 16-Jun-2022
  • (2021)A Gamified Simulator and Physical Platform for Self-Driving Algorithm Training and ValidationElectronics10.3390/electronics1009111210:9(1112)Online publication date: 8-May-2021
  • (2020)Self-Determination Theory in HCI Games Research: Current Uses and Open QuestionsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376723(1-22)Online publication date: 21-Apr-2020
  • (2019)Give MEANinGS to Robots with Kitchen Clash: A VR Human Computation Serious Game for World Knowledge AccumulationEntertainment Computing and Serious Games10.1007/978-3-030-34644-7_7(85-96)Online publication date: 4-Nov-2019
  • (2016)A Step Toward Automated Simulation in IndustryDynamics in Logistics10.1007/978-3-319-45117-6_9(99-105)Online publication date: 15-Sep-2016
  • (2015)Learning action failure models from interactive physics-based simulations2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS.2015.7354136(5370-5375)Online publication date: Sep-2015

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