skip to main content
10.1145/1810543.1810557acmotherconferencesArticle/Chapter ViewAbstractPublication PagesidcConference Proceedingsconference-collections
research-article

Detecting and modeling play behavior using sensor-embedded rock-climbing equipment

Published: 09 June 2010 Publication History

Abstract

Many injures during childhood are related to the use of playground equipment. Until recently, scientific data of how children actually use playground equipment were scarce. Childhood injury cases were not examined thoroughly from the perspective of how equipment can be modified for improving safety without ruining its attraction to children. To design age-appropriate and safer playground equipment, it is essential that scientific data on the interaction between children and this equipment be accumulated. Herein we report on studies to develop new playground equipment by applying sensor technology to examine the science behind children's interaction with playground equipment. We developed a rock-climbing wall equipped with force sensors to record the physical behavior of children while on the wall, thus allowing measurement of these behaviors in a more natural environment. Fifty force sensors installed in the developed rock-climbing wall are able to collect a large amount of data while children are playing with the equipment. The behavior data of 623 children were recorded in the present study. Herein, we also report on a child behavior prediction model created from the collected data.

References

[1]
Akaike, H. Information Theory and an Extension of the Maximum Likelihood Principle, in Proc. of 2nd International Symposium on Information Theory, 267--281, 1973.
[2]
Conati, C. and Zhao, X. Building and Evaluating an Intelligent Pedagogical Agent to Improve the Effectiveness of an Educational Game, in Proc. of IUI'04 (Madeira PT, February 2004), 6--13.
[3]
Furukawa, K., Kinjo, K., Shimizu, S., Sawai, K., and Yoshinaga, S. On Modeling Bow Arm Movement in Cello Playing by Whip Motion, in Proc. of the 3rd European Medical and Biological Engineering Conference, (Prague CZ, November 2005).
[4]
Holland, S., Marshall, P., Bird, J., Dalton, S., Morris, R., Pantidi, N., Rogers, Y., and Clark, A. Running up Blueberry Hill: Prototyping Whole Body Interaction in Harmony Space, in Proc. of the 3rd Conference on Tangible and Embodied Interaction, (New York, 2009), ACM Press, 92--98.
[5]
Järvelin, K. and Kekäläinen, J. IR evaluation methods for retrieving highly relevant documents, in Proc. of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, (New York, 2000), 41--48.
[6]
Kawakami, G., Nishida, Y., Motomura, Y., and Mizoguchi, H. Sensing and Modeling Children's Playing Skills by Wearable Location-Electromyography and Bayesian Network, in Proc. of International Symposium on Skill Science 2007, (Kanagawa JP, September 2007), 93--101.
[7]
Kitamura, K., Nishida, Y., Matsumoto, N., Motomura, Y., Yamanaka, T., and Mizoguchi, H. Development of Infant Behavior Simulator: Modeling Grasping Achievement Behavior Based on Developmental Behavior Model and Environmental Interest Induction Model, Journal of Robotics and Mechatronics, 17--6, 705--716, 2005.
[8]
Motomura, Y. Bayonet: Bayesian network on neural network, in Proc. of Foundation of Real-World Intelligence, (California, 2001), 28--37.
[9]
Neapolitan, R. E., ed. Learning Bayesian Networks. Pearson Education, Inc., 2004.
[10]
Nishida, Y., Motomura, Y., Kawakami, G., Matsumoto, N., and Mizoguchi, H. Spatio-temporal Semantic Map for Acquiring and Retargeting Knowledge on Everyday Life Behavior, Lecture Notes in Artificial Intelligence, (K. Satoh et al. (eds.)), 4914, 63--75, Springer-Verlag, 2008.
[11]
Nishida, Y., Motomura, Y., Kitamura, K., and Yamanaka, T. Representation and Statistical Analysis of Childhood Injury by Bodygraphic Information System, in Proc. of The 10th International Conference on GeoComputation, (Sydney AU, November 2009), 194--202.
[12]
Ohgi, Y., Ichikawa, H., Homma, M., and Miyaji, C. Stroke Phase Discrimination in Breaststroke Swimming Using a Tri-axial Acceleration Sensor Device, International Journal of Sports Engineering (2003), 6, pp.113--123.
[13]
Ohgi, Y., Baba, T., and Sakaguchi, I. Measurement of Deceleration of Golfer's Sway and Uncock Timing in Driver Swing Motion, The Impact of Technology on Sport, Subic. A., Ujihashi, S. eds., ASTA, 2005, 349--354.
[14]
Pares, N., Carreras, A., Durany, J., Ferrer, J., Freixa, P., Gomez, D., Kruglanski, O., Pares, R., Ribas, J. I., Soler, M., and Sanjurjo, A. Promotion of creative activity in children with severe autism through visuals in an interactive multisensory environment, in Proc. of the 2005 Conference on Interaction Design and Children, (Boulder, Colorado, 2005). ACM Press, New York, NY, 2005.
[15]
Perttu, H. Interactive Video Mirrors for Sports Training, in Proc. of the 3rd Nordic Conference on Human-Computer Interaction, (Tampere FI, October 2004), 199--202.
[16]
Soler-Adillon, J., Ferrer, J., and Pares, N. 2009. A novel approach to interactive playgrounds: the interactive slide project, in Proc. of the 8th international Conference on interaction Design and Children (Como, Italy, June 2009)
[17]
Stone, M. Cross-validation and multinomial prediction, Biometrika, 61(3), 509--515, 1974.
[18]
Sugimoto, M., Kusunoki, F., and Hashizume, H. Supporting Face-to-Face Group Activities with a Sensor-Embedded Board, in Proc. of ACM CSCW2000 Workshop on Shared Environments to Support Face-to-Face Collaboration, (Philadelphia, PA, November 2000), 46--49.
[19]
Tanaka T. Hoikuen Niokeru Jiko Boushi Manual (Manual on Injury Prevention in Kindergarten), Nihon-Shoni-Iji press, 2002
[20]
Yamanaka, T., Nishida, Y., Motomura, Y., and Moronaga, Y. Safety Knowledge Circulation --- A New Strategy for Childhood Injury Prevention and Safety Promotion in Japan, in Proc. of The 9th World Conference on Injury Prevention and Safety Promotion, (Merida MX, March 2008), 133--134.
[21]
Zigelbaum, J., Millner, A., Desai, B., Ishii, H. BodyBeats: whole-body, musical interfaces for children, in Proc. of CHI '06 Extended Abstracts on Human Factors in Computing Systems, (Montreal, Quebec, CA, April 2006), ACM Press, 1595--1600

Cited By

View all
  • (2024)Detection of Lowering in Sport Climbing Using Orientation-Based Sensor-Enhanced Quickdraws: A Preliminary InvestigationSensors10.3390/s2414457624:14(4576)Online publication date: 15-Jul-2024
  • (2024)Creating Personas of Parents of Young Children Based on Balancing PrioritiesProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655790(105-118)Online publication date: 17-Jun-2024
  • (2020)Video and Sensor-Based Rope Pulling Detection in Sport ClimbingProceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports10.1145/3422844.3423058(53-60)Online publication date: 16-Oct-2020
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
IDC '10: Proceedings of the 9th International Conference on Interaction Design and Children
June 2010
389 pages
ISBN:9781605589510
DOI:10.1145/1810543
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 ACM 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]

Sponsors

  • Spanish Ministry of Education and Science

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 June 2010

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. child behavior model
  2. embedded sensor network
  3. full-body interaction
  4. playground equipment

Qualifiers

  • Research-article

Conference

IDC '10
Sponsor:

Acceptance Rates

Overall Acceptance Rate 172 of 578 submissions, 30%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)14
  • Downloads (Last 6 weeks)0
Reflects downloads up to 17 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Detection of Lowering in Sport Climbing Using Orientation-Based Sensor-Enhanced Quickdraws: A Preliminary InvestigationSensors10.3390/s2414457624:14(4576)Online publication date: 15-Jul-2024
  • (2024)Creating Personas of Parents of Young Children Based on Balancing PrioritiesProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655790(105-118)Online publication date: 17-Jun-2024
  • (2020)Video and Sensor-Based Rope Pulling Detection in Sport ClimbingProceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports10.1145/3422844.3423058(53-60)Online publication date: 16-Oct-2020
  • (2020)ExemPoserProceedings of the Augmented Humans International Conference10.1145/3384657.3384788(1-9)Online publication date: 16-Mar-2020
  • (2020)The Importance of Virtual Hands and Feet for Virtual Reality ClimbingExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3383067(1-8)Online publication date: 25-Apr-2020
  • (2018)Co-located augmented play-spaces: past, present, and perspectivesJournal on Multimodal User Interfaces10.1007/s12193-018-0269-z12:3(225-255)Online publication date: 14-Aug-2018
  • (2017)Exploring Rock Climbing in Mixed Reality EnvironmentsProceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/3027063.3053110(1787-1793)Online publication date: 6-May-2017
  • (2017)An Extraction Method of Causality Patterns between Situation and Human Action with Delay Time for Statistical Modeling of Human ActionElectronics and Communications in Japan10.1002/ecj.11961100:7(3-17)Online publication date: 19-Jun-2017
  • (2016)ClimbAwareProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858562(1097-1108)Online publication date: 7-May-2016
  • (2015)An Extraction Method of Causality Patterns between Situation and Human Action with Delay Time for Statistical Modeling of Human ActionIEEJ Transactions on Electronics, Information and Systems10.1541/ieejeiss.135.90135:1(90-101)Online publication date: 2015
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media