research-article

Increasing Children's Physical Activity Levels Through Biosymtic Robotic Devices

Authors:

António Câmara,

Afonso O'NeillAuthors Info & Claims

ACE '16: Proceedings of the 13th International Conference on Advances in Computer Entertainment Technology

Article No.: 2, Pages 1 - 14

https://doi.org/10.1145/3001773.3001781

Published: 09 November 2016 Publication History

Abstract

We describe the effects of a Biosymtic robotic device -"Cratus" - on physical activity levels in a group of 20 children aged 6 to 8. Children interacted with "Cratus" via whole-body motion in a natural environment - playing a video game. Expectations and opinions regarding the device were also evaluated. Results indicate that interacting with "Cratus", in a natural environment, instilled vigorous physical activity. Children mentioned being highly motivated to interact with "Cratus". This device, and the natural environment, seem a promising solution to promote physical and mental health. This study shows that to increase physical activity, children aged 6 to 8 should be encouraged to perform activities in large spatial areas, such as natural environments, and to interact with user interfaces promoting gross motor skills. Because situations of excitability or fear may increase heart rate values, video game play seems an optimal solution to raise physical activity levels.

References

[1]

Ainsworth, B.E., et al. (2011). Compendium of Physical Activities: a second update of codes and Met values. Medicine & Science in Sports & Exercise, 43 (8), 1575--81.

[2]

Altamimi, R., & Skinner, G. (2012). A Survey of Active Video Game Literature. International Journal of Computer and Information Technology, 1 (1), 20--35.

[3]

American Academy of Pediatrics (2003). Recommendations for Prevention of Pediatric Overweight and Obesity. Available from https://www.health.ny.gov/publications/4951.pdf. Acessed 4th October 2003.

[4]

American Heart Association (2015). Target Heart Rates. Available from http://www.heart.org/HEARTORG/GettingHealthy/PhysicalActivity/FitnessBasics/Target-Heart-Rates_UCM_434341_Article.jsp. Acessed 8th August 2015.

[5]

American Medical Association (2013). Childhood Obesity. Available from http://www.ama-assn.org/ama/pub/physician-resources/public-health/promoting-healthy-lifestyles/obesity/childhood-obesity.page. Accessed 7th April 2013.

[6]

Anderson, C.A., Shibuya, A., Ihori, N., Swing, E.L., Bushman, B.J., Sakamoto, A., & Saleem, M. (2010). Violent video game effects on aggression, empathy, and prosocial behavior in Eastern and Western countries: A meta-analytic review. Psychological Bulletin, 136, 151--173.

[7]

Armstrong, N. & Welsman, J. (2000). Development of aerobic fitness during childhood and adolescence. Pediatric Exercise Science, 12, 128--149.

[8]

Arvidsson, D., Slinde, F., Larsson, S. & Hulthén, L. (2007). Energy Cost of Physical Activities in Children: Validation of SenseWear Armband. Medicine and Science in Sports and Exercise, 39 (11), 2076--84.

[9]

Bandini, L.G., Must, A., Philips, S.M., Naumova, E.N., & Dietz, W.D. (2003). Relation of body mass index and body fatness to energy expenditure: longitudinal changes from preadolescence through adolescence. Am J Clin Nutr, 80, 5, 1262--69.

[10]

Barakova, E.I. (2011). Robots for social training of autistic children. Empowering the therapists in intensive training programs. 2011 World Congress on Information and Communication Technologies (WICT), 14--19.

[11]

Baranowski, T., Abdelsamad, D., Baranowski, J., O'Connor, T.M., Thompson, D., Barnett, A., ... Chen, T-A. (2012). Impact of an Active Video Game on Healthy Children's Physical Activity. Pediatrics, 636--642.

[12]

Bar-or, O. (1983). Physiologic responses to exercise of the healthy child. Pediatric Sports Medicine for the Practitioner. Comprehensive manuals in Pediatrics, 1--65.

[13]

Beran, T.N., Ramirez-Serrano, A., Kuzyk, R., Fior, M., & Nugent, S. (2011). Understanding how children understand robots: Perceived animism in child-robot interaction. International Journal of Human-Computer Studies, 69, 539--50. Academic Press, USA.

Digital Library

[14]

Berson, I.R., & Berson, M.J. (2010). High-Tech Tots: Childhood in a Digital World. Charlotte, NC: Information Age Publishing.

[15]

Boreham, C., & Riddoch C. (2001). The physical activity, fitness and health of children. Journal Sports Science, 19 (12), 915--29.

[16]

Breazeal, C.L, Takanishi, A., & Kobayashi, T. (2008). Social Robots that Interact with People. In Springer Handbook of Robotics, Bruno Siciliano, Oussama Khatib (Ed.), Springer-Verlag Berlin Heidelberg, 1349--69.

[17]

Cardon, G., Verstraete, R., Clercq, D., & Bordeau, L. (2004). Research Note: Physical Activity Levels in Elementary-School Physical Education: A Comparison of Swimming and Nonswimming Classes. Journal of Teaching in Physical Education, 23, issue 3.

[18]

Caspersen, C.J., Powell, K.E., & Christenson, G.M. (1985). Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Report, 100 (2), 126--131.

[19]

Center for Disease Control and Prevention (2012). Obesity and Overweight for Professionals: Childhood | DNPAO | CDC. Center for Disease Control and Prevention. Available from http://www.cdc.gov/obesity/childhood/problem.html. Accessed 6th June 2012.

[20]

Center for Disease Control and Prevention (2011). Physical Activity and Fitness. Available from http://www.cdc.gov/physicalactivity/everyone/getactive/children.html. Accessed 4th May 2011.

[21]

Chaddock, L., Erickson, K.I., Prakash, R.S., Kim, J.S., Voss, M.W., Vanpatter, M., ... Kramer, A.F. (2010). A neuroimaging investigation of the association between aerobic fitness, hippocampal volume and memory performance in preadolescent children. Brain Res., 1358, 172--83.

[22]

Chaddock, L., Erickson, K.I., Prakash, R.S., Vanpatter, M., Voss, M.W., Pontifex, M.B., ... Kramer, A.F. (2010). Basal ganglia volume is associated with aerobic fitness in preadolescent children. Dev. Neurosci, 32 (3), 249--56.

[23]

Chang, C-H., Pan, W.W., Tseng, L-Y., & Stoffregen, T.A. (2012). Postural activity and motion sickness during video game play in children and adults. Experimental Brain Research, 217, 299--309.

[24]

Cleary, A.G., McKendrick H, & Sills J.A. (2002). Hand-arm vibration syndrome may be associated with prolonged use of vibrating computer games. Br Med J, 324 (7332):301.

[25]

Cole, T.J. (2000). Establishing a standard definition for child overweight and obesity worldwide: international survey. British Medical Journal, 320, 1--6.

[26]

Common Sense Media (2011). Zero to Eight: Children's Media Use in America. Available from www.commonsensemedia.org/research/zero-eight-childrens-media-use-america. Accessed 4th May 2011.

[27]

Davis, C.L., Tomporowski, P.D., McDowell, J.E., Austin, B.P., Miller, P.H., Yanasak, N.E., ... Naglieri, J.A. (2011). Exercise improves executive function and alters neural activation in overweight children: A Randomized Controlled Trial. Health Psychol, 30 (1), 91--98.

[28]

Druin, A., & Handler, J. (2000). Robots for Kids. Exploring New Technologies for Learning. Academic Press.

[29]

Ellemberg, D., & Louis-Deschênes, M. (2010). The effect of acute physical activity on cognitive function during development. Psychology of Sport and Exercise, 11, 122--26.

[30]

Espinoza, R.R., Nalin, M., Wood, R., Baxter, P., Looije, R., & Demiris, Y (2011). Child-Robot Interaction in The Wild: Advice to the Aspiring Experimenter. ICMI '11 Proceedings of the 13th international conference on multimodal interfaces, 335--42. ACM, New York.

[31]

Fjortoft, I., & Sageie, J. (2000). The natural environment as a playground for children. Landscape description and analyses of a natural playscape. Landscape and Urban Planning, 48, 83--97.

[32]

Fujita, M., Kitano, H., & Doi, T.T. (2000). PETS: A personal Electronic Teller of Stories. In Robots Exploring New Technologies for Leaning, Druin and Hendler (Ed.), 74--108. Morgan Kaufmann Publishers.

[33]

Gabbard, C., & Barton, J. (1979). Effects of physical activity on mathematical computation among young children. Journal of Psychology, 103, 287--88.

[34]

Gallahue, D., & Ozmun, J. (2005). Understanding Motor Development: Infants, Children, Adolescents, Adults. McGraw-Hill.

[35]

Gentile, D.A. (2009). Pathological video-game use among youth ages 8-18: A national study. Psychological Science, 20, 594--602.

[36]

Giannopulu, I. (2013). Embedded multimodal nonverbal and verbal interactions between a mobile toy robot and autistic children. HRI'13 Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction, 127--28. IEEE Press Piscataway, USA.

[37]

Goris, K., Saldien, J., Vanderniepen, I., & Lebefer, D. (2008). The Huggable Robot Probo, a Multidisciplinary Research Platform. Research and Education in Robotics- EUROBOT 2008 Communications in Computer and Information Science, 33, 29--41.

[38]

Griffiths, M.D. (2002). Playing video games seems to have few serious acute adverse effects on health. BMJ, 324:1159.

[39]

Grissom, J.B. (2005). Physical Fitness and Academic Achivement. Journal of Exercise Physiology, 8, 11--25.

[40]

Hamlen, K. (2011). Children's choices and strategies in video games. Computers in Human Behavior, 27, 532--39.

Digital Library

[41]

Hansen, L., & Sanders, S. (2010). Fifth grade students' experiences participating in active gaming in physical education: The persistence to game. International Council for Health, Physical Education Recreation, Sport, and Dance--Journal of Research, 5(2), 33--40.

[42]

Hillman, C.H., Erickson, K.I., Kramer, A.F. (2008). Be smart, exercise your heart: Exercise effects on brain and cognition. Nature Reviews in Neuroscience, 9, 58 -65.

[43]

Hillman, C.H., Kamijo, K., & Scudder, M. (2011). A review of chronic and acute physical activity participation on neuroelectric measures of brain health and cognition during childhood. Preventive Medicine, 52, S21--28.

[44]

Jensen, E. (2000). Learning With the Body in the Mind. The Scientific Basis for Energizers, Movement, Play, Games, and Physical Education. The Brain Store, Inc. USA.

[45]

Kornhauser, N., Rand, W., & Wilensky, U. (2007). Visualization Tools for Agent-Based Modeling in NetLogo. Agent 2007. Chigago, II.

[46]

Kuo, F.E., & Faber, A. (2004). A Potential Natural Treatment for Attention-Deficit/Hyperactivity Disorder: Evidence from a National Study. American Journal of Public Health, 94, 1580--86.

[47]

Lahey, B., Burleson, W., Jensen, C.N., Freed, N., & Lu, P. (2008). Integrating Video Games and Robotic Play in Physical Environments. Sandbox '08 Proceedings of the 2008 ACM SIGGRAPH symposium on Video games, 107--114. ACM, New York.

Digital Library

[48]

Lathan, C., Brisben, A., & Safos, C. (2005). CosmoBot levels the playing field for disabled children. interactions - Robots!, 12 (2), 14--16. ACM, New York.

[49]

Latitude0, Lego® & Learning Institute & Project Synthesis (2012). Robots @ School. Available from http://latd.tv/Latitude-Robots-at-School-Findings.pdf. Accessed 7th November 2013.

[50]

LeBlanc, A.G, Chaput, J-P, McFarlane, A., Colley, R.C, Thivel, D., Biddle, J.H., ... Tremblay, M.S. (2013). Active Video Games and Health Indicators in Children and Youth: A Systematic Review. PLoS ONE 8(6): e65351.

[51]

Lieberman, E.D. (2013). The Story Of The Human Body. Evolution, Health and Disease. Penguin Books. USA.

[52]

Livingstone, M.B. (1997). Heart-rate monitoring: The answer for assessing energy expenditure and physical activity in population studies. British Journal of Nutrition, 78, 869--71.

[53]

Livingstone, M.B., Robson, P.J., & Totton, M. (2000). Energy expenditure by heart rate in children: an evaluation of calibration techniques. Med Sci Sports Exerc, 32 (8),1513--19.

[54]

Lui, D., Szeto, G., & Jones, A., (2011). The pattern of electronic game use and related bodily discomfort in Hong Kong primary school children. Computers & Education, 57, 1665--74.

Digital Library

[55]

Lumley, M.A, Relamed, B.G., & Abeles, L.A. (1993). Predicting children's presurgical anxiety and subsequent behavior changes. J Pediatr Psicol, 18, 481--97.

[56]

Maffeis, C, Zaffanello, M, Pinelli, L., & Schutz Y (1996). Total energy expenditure and patterns of activity in 8-10 year old obese and nonobese children. J Pediatr Gastroenterol Nutr, 23, 256--61.

[57]

Marti, P. (2012). Materials of embodied interaction. SMI'12 Proceedings of the 1st workshop on Smart Material Interfaces: A Material Step to the Future, Article No. 2. ACM, New York.

Digital Library

[58]

Martin, F., Mikhak, B., Resnick, M., Silverman, B., & Berg, R. (2000). To Mindstorms and Beyond: Evolution of a Construction Kit for Magical Machines. Robots for kids, 3--33. Morgan Kaufmann Publishers Inc. San Francisco, CA, USA.

[59]

May-Benson, T.A, & Cermak, S.A. (2007). Development of an assessment for ideational praxis. American Journal of Occupational Therapy, 61, 148--53.

[60]

Melson, G.F., Jr, H.K., Beck, A.M., Friedman, B., Roberts, T., & Garret, E. (2005). Robots as Dogs? -Children's Interactions with the Robotic Dog AIBO and a Live Australian Shepherd. CHI EA '05, 1649--52. ACM, New York.

[61]

Montagu, A. (1972). Touching: the Human Significance of the Skin. Second Edition. Harper and Row. New York.

[62]

Montoye, H.J., Kemper, H.C., Saris, W., & Washbum, R.A. (1996). Measuring Physical Activity and Energy Expenditure. Human Kinetics Publishers, Inc.

[63]

Mueller, F., Gibbs, M.R. & Vetere, F. (2008). Taxonomy of exertion games. OZCHI'08, Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat, 263--66. ACM, New York.

Digital Library

[64]

Noble, J. (2009). Programming Interactivity. A Designer's Guide to Processing, Arduino, and OpenFrameworks. O'Reilly Media, Inc.

[65]

Papert, S. (1980). Mindstorms, Children, Computers and Powerful Ideas. Second Edition. Basic Books.

[66]

Parrish, A.M, Okely, A.D., Stanley, R.M., & Ridgers, N.D. (2013). The Effect of School Recess Interventions on Physical Activity: A Systematic Review. Sports Medicine, 43 (4), 287--99.

[67]

Pate, R.R., Jennifer R.O., & Kerry L.M. (2011). Physical Activity and Health: Does Physical Education Matter? Quest, 63,19--35.

[68]

Pesce, C., Crova, C., Cereatti, L., Casella, R., & Bellucci, M. (2009). Physical activity and mental performance in preadolescents: Effects of acute exercise on free-recall memory. Mental Health and Physical Activity, 2, 16--22.

[69]

Polar Global (2013). Polar FT40 Fitness watch. Available from http://www.polar.com/en/products/earlier_products/FT40. Accessed 9th October 2013.

[70]

Quetelet, A. (1874). The average man and indices of obesity. Nephrology Dialysis Transplantation, 23 (1), 47--51.

[71]

Read, J. C. (2008). Validating the Fun Toolkit: an instrument for measuring children's opinions of technology. Cognition, Technology and Work, 10, 2, 119--28.

Digital Library

[72]

Resnick, M. (1990). MultiLogo: A Study of Children and Concurrent Programming. Interactive Learning Environments, 1(3), 158 -70.

[73]

Riddoch, C.J., Mattocks, C, Deere, K., Saunders, J., Kirkby, J., Tilling, K., Leary, S.D., Blair, S.N., & Ness, AR. (2007). Objective measurement of levels and patterns of physical activity. Arch Dis Child, 92, 963--69.

[74]

Rideout, V.J., Foehr, U G., & Roberts, D.F. (2010). Generation M2: Media in the Lives of 8- to 18-Year-Olds. Kaiser Family Foundation, Menlo Park, CA.

[75]

Ridgers, ND., Fairclough, S., & Gareth, S. (2010). Variables associated with children's physical activity levels during recess: the A-CLASS project. International Journal of Behavioral Nutrition and Physical Activity, 7:74.

[76]

Ridgers, N.D., Saint-Maurice, P.F., Welk, G.J., Siapush, M., & Huberty, J.L. (2013). Non-overweight and overweight children's physical activity during school recess. Health Education Journal, 13.

[77]

Ridgers, N.D., Stratton, G., Fairclough, S.J., & Twisk, J.W. (2007). Children's physical activity levels during school recess: a quasi-experimental intervention study. Int J Behav Nutr Phys Act, 4:19.

[78]

Roberts, D., & Foehr, U. (2008). Trends in media use. Children and Electronic Media, 18 (1), 11--37.

[79]

Rose, K.A., Morgan, I.G., Ip, J., Kifley, A., Huynh, S., Smith, W., & Mitchell, P. (2008). Outdoor activity reduces the prevalence of myopia in Children. Ophthalmology, 115 (8), 1279--85.

[80]

Rowland, T., & Bar-Or (2004). Pediatric Exercise Medicine. Physiologic Principles to Health Care Application. Habitual activity and Energy Expenditure in the Healthy Child. Human Kinetics Pub Inc.

[81]

Sanger, J., Willson, J., Davies, B., & Whittaker, R. (2012). Young Children, Videos and Computer Games. Issues for Teachers and Parents. Routledge, London.

[82]

Small, G. & Vorgan, G. (2008). IBrain: Surviving the technological alteration of the modern mind. Harper Collins Publishers, New York.

[83]

Stratton, G. (2005). Review Articles Physical Activity Levels in Middle and High School Physical Education: A Review. Pediatric Exercise Science, 17, 3.

[84]

Swing, E.L., Gentile, D.A., Anderson, C.A., & Walsh, D.A. (2010). Television and Video Game Exposure and the Development of Attention Problems. Pediatrics, 126 (2), 214--21.

[85]

Tantillo, M., Kesick, CM., Hynd, G.W., & Dishman, R.K. (2002). The effects of exercise on children with attention-deficit hyperactivity disorder. Medicine & Science in Sports & Exercise, 34, 203--12.

[86]

Taylor, C.B., Sallis, J.F., & Needle, R. (1985). The relation of Physical activity and Exercise to Mental Health. Public Health Rep, 195--202.

[87]

Telama R., Yang, X., Viikari, J., Valimaki, I., Wanne, O., & Raitakari, O. (2005). Physical activity from childhood to adulthood: a 21-year tracking study. Am J Prev Med, 28 (3), 267--73.

[88]

Tomporowski, P.D., Davis, C.L., Miller, P.H., & Naglieri, J.A. (2008). Exercise and children's intelligence, cognition, and academic achievement. Educational Psychology Review, 20, 111--31.

[89]

Tremblay, M.S. (2012). Active video games don't increase overall daily physical activity levels. Active healthy kids Canada. Available from http://www.participaction.com/wp-content/uploads/2012/10/AHKC-position-AVG-National-Release-FINAL.pdf. Accessed 11th November 2012.

[90]

Tung, F-W, & Chang, T-Y. (2013). Exploring children's attitudes towards static and moving humanoid robots. HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: users and contexts of use - volume part III, 237--45.

[91]

UCLA Center to Eliminate Health Disparities and Samuels & Associates (2007). Failing Fitness: Physical Activity and Physical Education in Schools. Policy Brief. Los Angeles: The California Endowment.

[92]

US Department of Health and Human Services (1996). Physical Activity and Health: A Report of the Surgeon General. Atlanta, Georgia: US Department of Health and Human Services, Public Health Service, CDC, National Center for Chronic Disease Prevention and Health Promotion.

[93]

Van der Drift, E., Beun, R-J., Looije, R., Henkemans, O.A., & Neerincx, M.A. (2014). A remote social robot to motivate and support diabetic children in keeping a diary. HRI'14 Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction, 463--70. ACM, New York.

Digital Library

[94]

Vandewater, E., & Lee, S. (2009). Measuring children's media use in the digital age: Issues and challenges. American Behavioral Scientist, 52, 1152--76.

[95]

Verschuren, O., Ketelaar, M., Gorter, J.W., Helders, P.J.M., Uiterwaal, C.S., & Takken, T. (2007). Exercise training program in children and adolescents with cerebral palsy. Archives of Pediatric and Adolescent Medicine, 161, 1075--108.

[96]

Verstraete, S.J.M, Cardon, G.M, De Clercq. D.L.R, & De Bourdeaudhuil, M.M. (2006). Increasing children's physical activity levels during recess in elementary schools: the effects of providing game equipment. Eur J Public Health, 16 (4), 415--9.

[97]

Ward, V. (2013). Toddlers becoming so addicted to iPads they require therapy. Available from http://www.telegraph.co.uk/technology/10008707/Toddlers-becoming-so-addicted-to-iPads-they-require-therapy.html. Accessed 9th December 2013.

[98]

Whitehead, A, Johnston, H., Nixon, N., & Welch, J. (2010). Exergame effectiveness: what the numbers can tell us. Proceedings of the 5th ACM SIGGRAPH Symposium on Video Games, 55--62. ACM, New York.

Digital Library

[99]

Willeke, T., Kunz, C, & Nourbakhsh, I. (2001). The history of the Mobot museum robot series: An evolutionary study. Proceedings of the Florida Artificial Intelligence Research Society (FLAIRS) (Key West 2001), 514--18.

[100]

World Health Organization (2010). Obesity and Overweight. Available from http://www.who.int/dietphysicalactivity/childhood/en/. Accessed 14th August 2010.

[101]

World Health Organization (2013). Physical Activity and Young People. Available from http://www.who.int/dietphysicalactivity/factsheet_young_people/en/. Accessed 7th Mars 2013

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https://doi.org/10.1109/JTEHM.2024.3446511
Mayoral RHelmi AWarren SLogan SFitter N(2023)Robottheory Fitness: GoBot's Engagement Edge for Spurring Physical Activity in Young Children2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS55552.2023.10341442(7939-7944)Online publication date: 1-Oct-2023
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Index Terms

Increasing Children's Physical Activity Levels Through Biosymtic Robotic Devices
1. Applied computing
  1. Life and medical sciences
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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ACE '16: Proceedings of the 13th International Conference on Advances in Computer Entertainment Technology

November 2016

373 pages

ISBN:9781450347730

DOI:10.1145/3001773

General Chair:
Itaru Kuramoto
Kyoto Institute of Technology, Japan
,
Program Chairs:
Hideyuki Ando
Osaka University, Japan
,
Günter Wallner
University of Applied Arts Vienna, Austria

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November 9 - 12, 2016

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https://doi.org/10.1109/JTEHM.2024.3446511
Mayoral RHelmi AWarren SLogan SFitter N(2023)Robottheory Fitness: GoBot's Engagement Edge for Spurring Physical Activity in Young Children2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS55552.2023.10341442(7939-7944)Online publication date: 1-Oct-2023
https://doi.org/10.1109/IROS55552.2023.10341442
Bossavit BArnedillo-Sánchez I(2023)Motion-based technology to support motor skills screening in developing childrenComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2023.107715240:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.cmpb.2023.107715
de Jong CPeter JKühne RBarco A(2021)Children’s Intention to Adopt Social Robots: A Model of its Distal and Proximal PredictorsInternational Journal of Social Robotics10.1007/s12369-021-00835-014:4(875-891)Online publication date: 30-Oct-2021
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de Jong CKühne RPeter Jvan Straten CBarco A(2020)Intentional Acceptance of Social Robots: Development and Validation of a Self-Report Measure for ChildrenInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2020.102426(102426)Online publication date: Feb-2020
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de Jong CPeter JKühne RBarco A(2019)Children’s acceptance of social robotsInteraction StudiesInteraction Studies. Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies / Social Behaviour and Communication in Biological and Artificial Systems10.1075/is.18071.jon20:3(393-425)Online publication date: 2019
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Muangsrinoon SBoonbrahm P(2017)Burn in Zone: Real time Heart Rate monitoring for physical activity2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE.2017.8025953(1-6)Online publication date: Jul-2017
https://doi.org/10.1109/JCSSE.2017.8025953
Ferraz M(2017)A Biosymtic (Biosymbiotic Robotic) Approach to Human Development and EvolutionSymbiotic Interaction10.1007/978-3-319-57753-1_6(65-76)Online publication date: 22-Apr-2017
https://doi.org/10.1007/978-3-319-57753-1_6

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