Skip to main content

Technology for Soccer Sport: The Human Side in the Technical Part

  • Conference paper
  • First Online:
Exploring Services Science (IESS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 247))

Included in the following conference series:

  • 2651 Accesses

Abstract

This paper aims to analyze how new technologies are applied in the sport field with specific focus on soccer sport and the related training process. Recently, different areas in the sport sector have been deeply changed thanks to technology, mainly information technology (IT) and internet, with relevant social and economic effects. Starting from the different sub-organizational areas identified in the literature (sport management, sport medicine, athletes’ performance improvement, disability and social integration, sporting event management process), this paper focuses on the soccer sport, evidencing the main effects derived from the technology in terms of the cohabitation of human side and technical part in this specific team sport. This phenomenon is still under searched, so this theoretical study, conducted through a deep review of the literature, aims to propose a more clear picture of the social, economic and technical implications of technology in the soccer area, also identifying new research perspectives.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Spagnoletti, P., Za, S., North-Samardzic, A.: Fostering informal learning at the workplace through digital platforms and information infrastructures. In: Proceedings of 24th Australasian Conference on Information Systems, ACIS2013, Melbourne, pp. 1–11 (2013)

    Google Scholar 

  2. Za, S., Spagnoletti, P., North-Samardzic, A.: Organisational learning as an emerging process: The generative role of digital tools in informal learning practices. Br. J. Educ. Technol. 45(6), 1023–1035 (2014)

    Article  Google Scholar 

  3. Overby, E.: Process virtualization theory and the impact of information technology. Academy of Management Best Conference Paper 2005 OCIS:G1 (2005)

    Google Scholar 

  4. Ricciardi, F., De Marco, M.: The challenge of service oriented performances for chief information officers. In: Snene, M. (ed.) IESS 2012. LNBIP, vol. 103, pp. 258–270. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  5. Imperatori, B., De Marco, M.: E-work and labor processes transformation. In: Bondarouk, T., Ruel, H., Guiderdoni-Jourdain, K., Oiry, E. (eds.) Handbook of Research on E-Transformation and Human Resources Management Technologies: Organizational Outcomes and Challenges, pp. 34–54. Information Science Reference, Hershey (2009)

    Chapter  Google Scholar 

  6. Dobbs, K.: Too much Learning.com. Training 37(2), 10–12 (2000)

    Google Scholar 

  7. Mullin, B.J., Hardy, S., Sutton, W.A.: Sport Marketing. Human Kinetics, Champaign (1993)

    Google Scholar 

  8. Chu, D.: Dimensions of Sports Studies. Wiley, New York (1982)

    Google Scholar 

  9. Zeigler, E.F.: Ethics and Morality in Sports and Physical Education– An Experimental Approach. Stripe, Chicago (1984)

    Google Scholar 

  10. Goldstein, J.H.: Sports, Games, and Play: Social and Psychological Viewpoints. Hillsdale Lawrence Erlbaum, NJ (1989)

    Google Scholar 

  11. Brooks, C.M.: Sports Marketing: Competitive Business Strategies for Sports. Prentice Hall, Englewood Cliffs (1994)

    Google Scholar 

  12. Palm, J.: Sport for all: Approaches from Utopia to Reality. Hofmann, Schorndorf (1991)

    Google Scholar 

  13. Read, L., Bingham, J.: Preface UK sport. In: Levermore, R., Beacom, A. (eds.) Sport and International Development London, pp. 26–54. Palgrave Macmillan, London (2009)

    Google Scholar 

  14. Loland, S.: Technology in sport: three ideal-typical views and their implications. Eur. J. Sport Sci. 2(1), 1–11 (2002)

    Article  Google Scholar 

  15. Liebermann, D.G., Katz, L., Hughes, M.D., Bartlett, R.M., McClements, J., Franks, I.M.: Advances in the application of information technology to sport performance. J. Sports Sci. 20(10), 755–769 (2002)

    Article  Google Scholar 

  16. Varriale, L., Tafuri, D.: Technological trends in the sport field: which application areas and challenges? In: Nóvoa, H., Drăgoicea, M. (eds.) IESS 2015. LNBIP, vol. 201, pp. 204–214. Springer, Heidelberg (2015)

    Google Scholar 

  17. Rintala, J.: Sport and technology: human questions in a world of machines. J. Sport Soc. Issues 19(1), 62–75 (1995)

    Article  Google Scholar 

  18. Gelberg, J.N.: Technology and sport: the case of the ITF, spaghetti strings, and composite rackets. In: Proceedings and Newsletter-North American Society for Sport History, pp. 77-87 (1996)

    Google Scholar 

  19. Marcus, B.H., Owen, N., Forsyth, L., Cavill, N.A., Fridinger, F.: Physical activity interventions using mass media, print media, and information technology. Am. J. Prev. Med. 15, 362–378 (1998)

    Article  Google Scholar 

  20. Wilson, B.: Believe the hype? the impact of the internet on sport-related subcultures. Tribal Play Subcultural J. Sport 4, 135–152 (2008)

    Article  Google Scholar 

  21. Gallardo-Guerrero, L., García-Tascón, M., Burillo-Naranjo, P.: New sports management software: a needs analysis by a panel of Spanish experts. Int. J. Inf. Manage. 28(4), 235–245 (2008)

    Article  Google Scholar 

  22. Coutts, A.J., Duffield, R.: Validity and reliability of GPS devices for measuring movement demands of team sports. J. Sci. Med. Sport 13(1), 133–135 (2010)

    Article  Google Scholar 

  23. Gundlapalli, A.V.: Hospital electronic medical record–based public health surveil-lance system deployed during the 2002 Winter Olympic Games. Am. J. Infect. Control 35(3), 163–171 (2007)

    Article  Google Scholar 

  24. Uszkoreit, H., Xu, F., Aslan, I., Steffen, J.: COMPASS 2008: an intelligent multilin-gual and multimodal mobile information service system for beijing olympic games. In: Proceedings of KI2006 Demo Collection, Germany (2006)

    Google Scholar 

  25. Toohey, K.: The Sydney olympics: striving for legacies-overcoming short-term disappointments and long-term deficiencies. Int. J. Hist. Sport 25(14), 1953–1971 (2008)

    Article  Google Scholar 

  26. Bovy, P.: Olympic Games Transport Transfer of Knowledge. HITE/Ol.transp/Bovy-version XYZ. 1 22.4.2008, HITE-ATHENS, IOC Transport Advisor (2008)

    Google Scholar 

  27. Halbwirth, S., Toohey, K.: The olympic games and knowledge management: a case study of the sydney organising committee of the olympic games. Eur. Sport Manag. Q. 1(2), 91–111 (2001)

    Article  Google Scholar 

  28. Beis, D.A., Loucopoulos, P., Pyrgiotis, Y., Zografos, K.G.: PLATO helps athens win gold olympic games knowledge modeling for organizational change and resource management. Informs 36(1), 26–42 (2006)

    Google Scholar 

  29. Lane, A.: Relationships between perceptions of performance expectations and mood among distance runners: the moderating effect of depressed mood. J. Sci. Med. Sport 4(1), 116–128 (2001)

    Article  Google Scholar 

  30. Burkett, B.: Technology in Paralympic sport: performance enhancement or essential for performance? Br. J. Sports Med. 44(3), 215–220 (2010)

    Article  MathSciNet  Google Scholar 

  31. Burkett, B.: Paralympic sports medicine—current evidence in winter sport: considerations in the development of equipment standards for Paralympics athletes. Clin. J. Sport Med. 22(1), 46–50 (2012)

    Google Scholar 

  32. Burkett, B., McNamee, M., Potthast, W.: Shifting boundaries in sports technology and disability: equal rights or unfair advantage in the case of Oscar Pistorius? Disabil. Soc. 26(5), 643–654 (2011)

    Article  Google Scholar 

  33. Cronin, J., Sleivert, G.: Challenges in understanding the influence of maximal power training on improving athletic performance. Sports Med. 35(3), 213–234 (2004). (Auckland, NZ)

    Article  Google Scholar 

  34. Haake, S.J.: The impact of technology on sporting performance in Olympic sports. J. Sports Sci. 27(13), 1421–1431 (2009)

    Article  MathSciNet  Google Scholar 

  35. Dwyer, D.B., Gabbett, T.J.: Global positioning system data analysis: velocity ranges and a new definition of sprinting for field sport athletes. J. Strength Conditioning Res. 26(3), 818–824 (2012)

    Article  Google Scholar 

  36. Bettoli, B.: Data processing: working procedures made easier: sport information technology and team work. Magglingen 54(11), 18–19 (1997)

    Google Scholar 

  37. Ross, C.M.: Computer technology and its impact on recreation and sport programs. In: Annual Conference of the Midwest AAHPERD, Fort Wayne (1998)

    Google Scholar 

  38. Szymanski, S.: Convergence and soccer: testing for convergence. Harvard Int. Rev. 36(1), 41–55 (2014)

    Google Scholar 

  39. Los Arcos, A., Yanci, J., Mendiguchia, J., Salinero, J.J., Brughelli, M., Castagna, C.: Short-term training effects of vertically and horizontally oriented exercises on neuromuscular performance in professional soccer players. Int. J. Sports Physiol. Perform 9(3), 480–488 (2014)

    Article  Google Scholar 

  40. Duch, J., Waitzman, J.S., Amaral, L.A.N.: Quantifying the performance of individual players in a team activity. PloSone 5(6), e10937 (2010)

    Article  Google Scholar 

  41. Narizuka, T., Yamamoto, K., Yamazaki, Y.: Statistical properties of position-dependent ball-passing networks in football games (2013). arXiv:1311.0641

  42. Gyarmati, L., Kwak, H., Rodriguez, P.: Searching for a unique style in soccer. In: Proceedings KDD Workshop on Large-Scale Sports Analytics (2014)

    Google Scholar 

  43. Lucey, P., Oliver, D., Carr, P., Roth, J., Matthews, I.: Assessing team strategy using spatiotemporal data. In: Proceedings 19th ACM SIGKDD, pp. 1366–1374. ACM (2013)

    Google Scholar 

  44. Gudmundsson, J., Wolle, T.: Football analysis using spatio-temporal tools. In: International Conference on Advances in Geographic Information Systems. ACM (2012)

    Google Scholar 

  45. Mutschler, C.: Online data–mining of interactive trajectories in real time location systems. Friedrich-Alexander-University of Erlangen-Nuremberg (2010)

    Google Scholar 

  46. Gyarmati, L., Anguera, X.: Automatic Extraction of the Passing Strategies of Soccer Teams. arXiv preprint (2015) arXiv:1508.02171

  47. Mallo, J., Mena, E., Nevado, F., Paredes, V.: Physical demands of top-class soccer friendly matches in relation to a playing position using global positioning system technology. J. Hum. Kinet. 47(1), 179–188 (2015)

    Article  Google Scholar 

  48. Carling, C., Bloomfield, J., Nelsen, L., Reilly, T.: The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Med. 38, 839–862 (2008)

    Article  Google Scholar 

  49. Witte, T.H., Wilson, A.M.: Accuracy of non-differential GPS for the determination of speed over ground. J. Biomech. 37, 1891–1898 (2004)

    Article  Google Scholar 

  50. MacLeod, H., Morris, J., Nevill, A., Sunderland, C.: The validity of a non-differential global positioning system for assessing player movement patterns in field hockey. J. Sports Sci. 27, 121–128 (2009)

    Article  Google Scholar 

  51. Randers, M.B., Rostgaard, T., Krustrup, P.: Physical match performance and yo-yo IR2 test results of successful and unsuccessful football teams in the Danish premier league. J. Sports Sci. Med. 6(10), 16, 345–352 (2007)

    Google Scholar 

  52. Harley, J.A., Lovell, R.J., Barnes, C.A., Portus, M.D., Weston, M.: The interchangeability of global positioning system and semiautomated video-based performance data during soccer match play. J. Strength Cond. Res. 25, 2334–2336 (2011)

    Article  Google Scholar 

  53. Quatton, A., Wang, S., Morency, L.P.: Hidden conditional random fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(10), 1848–1852 (2007)

    Article  Google Scholar 

  54. Yedidia, J.S., Freeman, W.T., Weiss, Y.: Generalized belief propagation. In: Advances in Neural Information Processing Systems, pp. 689–695 (2001)

    Google Scholar 

  55. Wang, Y., Cao, Y., Wang, M., Liu, G.: Multi-mode semantic cues based on hidden conditional random field in soccer video. Int. J. Multimedia Ubiquitous Eng. 10(10), 47–56 (2015)

    Article  Google Scholar 

  56. Liwei, M.D., Chan, M.J.: Soccer video highlights the fusion of HCRF and AAM detection. J. Comput. Res. Dev. 1, 225–236 (2014)

    Google Scholar 

  57. Xiping, D., Jiafeng, L., Jianhua, W., Dragon, T.: A semantic level collaborative text image recognition method. J. Harbin Inst. Technol. 3, 49–53 (2014)

    MATH  Google Scholar 

  58. Minghao, Y., Jianhua, T., Hao, L.: Nest forest at multi-channel man-machine dialogue system for natural interaction. Comput. Sci. 10, 18–35 (2014)

    Google Scholar 

  59. Lian, W.: And realize multimode teaching video semantic analysis. Nanjing University of Science and Technology (2014)

    Google Scholar 

  60. Tian, T.: Study on construction of spatial knowledge obviously multi modal based on information fusion. Huazhong Normal University (2014)

    Google Scholar 

  61. Yucheng, H., Junqing, Y., Xianqiang, H., Yunfeng, H.: Tao: user preference mining pipe in the engine of the soccer video search. China J. Image Graph. 4, 622–629 (2014)

    Google Scholar 

  62. Junqing, Y., Qiang, Z., Zengkai, W., Yunfeng, H.: Using the playback scene and emotion encouragement detection in soccer video highlights. Chin. J. Comput. 6, 1268–1280 (2014)

    Google Scholar 

  63. Yanjiao, Z.: Regional map of target detection of video abstract Gauss. Hebei Normal University (2014)

    Google Scholar 

  64. Yafei, L.: Study on detection of pedestrian tracking and abnormal motion video surveillance. China Jiliang University (2014)

    Google Scholar 

  65. Chenhan, S.: Methods and annotation of video structure extraction. Comput. Knowl. Technol. 26, 6178–6180 (2014)

    Google Scholar 

  66. Arbat, S., Sinha, S.K., Shikha, B.K.: Event-detection-in-broadcast-soccer-video-by-detecting-replays. Int. J. Sci. Technol. Res. 3(5), 282–285 (2014)

    Google Scholar 

  67. Bojanova, I.: IT enhances football at world cup 2014. IT Prof. 4, 12–17 (2014)

    Article  Google Scholar 

  68. Gondo, S., Tarukawa, K., Inoue, T., Okada, K.I.: Soccer tactics analysis supporting system displaying the player’s actions in virtual space. In: Proceedings of the 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD) pp. 581–586. IEEE (2014)

    Google Scholar 

  69. Bayat, F., Moin, M.S., Bayat, F.: Goal detection in soccer video: role-based events detection approach. Int. J. Electr. Comput. Eng. (IJECE) 4(6), 979–988 (2014)

    Google Scholar 

  70. Rodrigues, J., Cardoso, P.J., Vilas, T., Silva, B., Rodrigues, P., Belguinha, A., Gomes, C.: A computer vision based web application for tracking soccer players. In: Stephanidis, C., Antona, M. (eds.) UAHCI 2014, Part I. LNCS, vol. 8513, pp. 450–462. Springer, Heidelberg (2014)

    Google Scholar 

  71. Salimi, F.: Conceptualizing ERP application for soccer industry. Asian J. Bus. Manage. 2(4), 358–366 (2014)

    Google Scholar 

  72. Wright, T.: Pakistan Defends Its Soccer Industry, Wall Street Journal, 26 April 2010

    Google Scholar 

  73. Atkin, D., Chaudhry, A., Chaudry, S., Khandelwal, A.K., Verhoogen, E.A.: Organizational barriers to technology adoption: evidence from soccer-ball producers in Pakistan. IZA Discussion Papers, No. 9222, pp. 1–87 (2015)

    Google Scholar 

  74. Di Salvo, V., Modonutti, M.: Integration of different technology systems for the development of football training. J. Sports Sci. Med. 11(3), 205–212 (2009)

    Google Scholar 

  75. Van Gool, D., Van Gerven, D., Boutmans, J.: The physiological load imposed on soccer players during real match-play. In: Reilly, T., Lees, A., Davis, K., Murphy, W.J. (eds.) Science and football, vol. I, pp. 51–59. E. & F.N. Spon, London (1988)

    Google Scholar 

  76. Carling, C., Bloomfield, J., Nelsen, L., et al.: The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Med. 38(10), 839–862 (2008)

    Article  Google Scholar 

  77. Castellano, J., Alvarez-Pastor, D., Bradley, P.S.: Evaluation of research using computerised tracking systems (Amisco® and Prozone®) to analyse physical performance in Elite soccer: a systematic review. Sports Med. 44(5), 701–712 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luisa Varriale .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Varriale, L., Tafuri, D. (2016). Technology for Soccer Sport: The Human Side in the Technical Part. In: Borangiu, T., Dragoicea, M., Nóvoa, H. (eds) Exploring Services Science. IESS 2016. Lecture Notes in Business Information Processing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-32689-4_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-32689-4_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32688-7

  • Online ISBN: 978-3-319-32689-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics