ABSTRACT
In this study, we interviewed players of daily fantasy sports to understand their information management and decision-making behaviors. Due to the rapid cycle of decision-making that is required to play daily fantasy sports, we found that participants engaged in sophisticated and complex methods of information compilation and evaluation, using a wide range of digital and analog tools to help them organize vast amounts of information in a short amount of time. We contribute an account of these practices along with suggestions on how to further improve daily fantasy sports products.
- June Ahn, Elizabeth Bonsignore, Derek L. Hansen, Kari Kraus, and Carman Neustaedter. 2016. Pervasive Play. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16), ACM, 3317--3324. Google ScholarDigital Library
- David Arnott and Graham Pervan. 2014. A critical analysis of decision support systems research revisited: the rise of design science. Journal of Information Technology 29, 4, 269--293. http://doi.org/10.1057/jit.2014.16 Google ScholarCross Ref
- Pratyush Bharati and Abhijit Chaudhury. 2004. An empirical investigation of decision-making satisfaction in web-based decision support systems. Decision Support Systems 37, 2, 187--197. http://doi.org/10.1016/S0167--9236(03)00006-XGoogle ScholarDigital Library
- Andrew C. Billings and Brody J. Ruihley. 2013. Why We Watch, Why We Play: The Relationship Between Fantasy Sport and Fanship Motivations. Mass Communication and Society 16, 1, 5--25. http://doi.org/10.1080/15205436.2011.635260 Google ScholarCross Ref
- Andrew Billings, Brody James Ruihley, and Yiyi Yang. Fantasy gaming on steroids? Contrasting fantasy sport participation by daily fantasy sport participation. Communication & Sport. http://doi.org/10.1177/2167479516644445Google ScholarCross Ref
- James Bonner and Clinton J. Woodward. 2012. On domain-specific decision support systems for e-sports strategy games. Proceedings of the 24th Australian Computer-Human Interaction Conference on - OzCHI '12, ACM Press, 42--51. http://doi.org/10.1145/2414536.2414544 Google ScholarDigital Library
- Jon Boswell. 2007. Fantasy Sports: A Game of Skill That Is Implicitly Legal under State Law, and Now Explicitly Legal under Federal Law. Cardozo Arts & Entertainment Law Journal 25.Google Scholar
- V. Braun and V. Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2, 77--101. Google ScholarCross Ref
- Marcus Carter, John Downs, Bjorn Nansen, Mitchell Harrop, and Martin Gibbs. 2014. Paradigms of games research in HCI. Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play - CHI PLAY '14, ACM Press, 27--36. http://doi.org/10.1145/2658537.2658708 Google ScholarDigital Library
- Brenda Dwyer and Yongjae Kim. 2011. For love or money: Developing and validating a motivational scale for fantasy football participation. Journal of Sport Management 25, 1, 70--83. Retrieved October 16, 2015 from http://www.humankinetics.com/AcuCustom/Sitename/Documents/DocumentItem/07Dwyer_jsm_2009_0178.pdf Google ScholarCross Ref
- Gabriel S. Dzodom and Frank M. Shipman. 2014. Data-driven web entertainment: the Data collection and analysis practices of fantasy sports players. Proceedings of the 2014 ACM conference on Web science - WebSci '14, ACM Press, 293--294. http://doi.org/10.1145/2615569.2615649 Google ScholarDigital Library
- Gabriel Dzodom and Frank Shipman. 2016. Datadriven Prediction Games. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16), ACM, 1857--1864.Google ScholarDigital Library
- John Eighmey and Lola McCord. 1998. Adding Value in the Information Age: Uses and Gratifications of Sites on the World Wide Web. Journal of Business Research 41, 3, 187--194. Retrieved from http://www.sciencedirect.com/science/article/pii/S0148 296397000611Google ScholarCross Ref
- David Elsweiler, Stefan Mandl, and Brian Kirkegaard Lunn. 2010. Understanding casual-leisure information needs. Proceeding of the third symposium on Information interaction in context - IIiX '10, ACM Press, 25. http://doi.org/10.1145/1840784.1840790 Google ScholarDigital Library
- Lee K. Farquhar and Robert Meeds. 2007. Types of Fantasy Sports Users and Their Motivations. Journal of Computer-Mediated Communication 12, 4, 1208--1228. Retrieved September 23, 2015 from http://doi.wiley.com/10.1111/j.10836101.2007.00370.x Google ScholarCross Ref
- FTSA. 2016. Indusrty Demographics At A Glance. Fantasy Sports Trade Association, 3--5. Retrieved from https://fsta.site-ym.com/?page=DemographicsGoogle Scholar
- Amitava Ghosh and Ambuj Mahanti. 2014. An information system for investment advisory process. Proceedings of the International Conference on Information Systems and Design of Communication ISDOC '14, ACM Press, 143--148. http://doi.org/10.1145/2618168.2618191 Google ScholarDigital Library
- Sandra Hirsh, Christine Anderson, and Matthew Caselli. 2012. The reality of fantasy: Uncovering information-seeking behaviors and needs in online fantasy sports. Proceedings of the 2012 ACM annual conference extended abstracts on Human Factors in Computing Systems Extended Abstracts - CHI EA '12, ACM Press, 849. http://doi.org/10.1145/2212776.2212858Google ScholarDigital Library
- Jenna Hartel. 2003. The Serious Leisure Frontier in Library and Informtion Science: Hobby Domains. Knowledge Organization 30, 3/4. Retrieved from https://works.bepress.com/jenna_hartel/32/Google Scholar
- Jay Caspian Kang. 2016. How the Daily Fantasy Sports Industry Turns Fans Into Suckers - The New York Times. The New York Times Magazine. Retrieved April 13, 2016 from http://www.nytimes.com/2016/01/06/magazine/howthe-daily-fantasy-sports-industry-turns-fans-intosuckers.html?_r=1Google Scholar
- Adam Krejcik. 2015. Daily Fantasy Sports Player Survey - 2015.Google Scholar
- Markus Montola, Jaakko Stenros, and Annika Waern. 2009. Pervasive games: theory and design. Elsevier/Morgan Kaufmann, Amsterdam, Boston.Google ScholarDigital Library
- Louis S. Nadelson, Christina M. Sias, Joshua Matyi, et al. 2016. A World of Information at Their Fingertips: College Students' Motivations and Practices in Their Self-Determined Information Seeking. International Journal of Higher Education 5, 1, 220--231. http://doi.org/10.5430/ijhe.v5n1p220 Google ScholarCross Ref
- Nico Newman. 2015. History of Fantasy Sports. Retrieved April 13, 2016 from https://fantasysport.net/history-of-fantasy-sports/Google Scholar
- John W. Payne and James R. Bettman. 2002. Preferential choice and adaptive strategy use. In Bounded rationality: The adaptive toolbox, G. Gigerenzer and R. Selten (eds.). MIT Press, Cambridge, MA, 123--145.Google Scholar
- PDFS. 2015. What is Daily Fantasy Sports? 3--5. Retrieved from http://www.playdailyfantasysports.com/what-is-dailyfantasy-sports/Google Scholar
- Richard G. Lomax. 2006. Fantasy sports: History, game types, and research. In Handbook of Sports and Media, Arthur A. Raney and Jennings Bryant (eds.). Lawrence Erlbaum, 416--425.Google Scholar
- Brody J. Ruihley and Andrew C. Billings. 2013. Infiltrating the boys' club: Motivations for women's fantasy sport participation. International Review for the Sociology of Sport 48, 4, 435--452. http://doi.org/10.1177/1012690212443440 Google ScholarCross Ref
- Brody J. Ruihley, Andrew C. Billings, and Coral Rae. 2014. As time goes by: Deciphering the fantasy sport playing teenager. Sport Marketing Quarterly 23, 187-- 197.Google Scholar
- Reijo Savolainen. 1995. Everyday life information seeking: Approaching information seeking in the context of "way of life." Library & Information Science Research 17, 3, 259--294. http://doi.org/10.1016/0740--8188(95)90048--9Google ScholarCross Ref
- Frank M. Shipman. 2009. Blending the real and virtual in games. Proceedings of the 4th International Conference on Foundations of Digital Games - FDG '09, ACM Press, 169. http://doi.org/10.1145/1536513.1536547 Google ScholarDigital Library
- Brian Smith, Priya Sharma, and Paula Hooper. 2006. Decision making in online fantasy sports communities. Interactive Technology and Smart Education 4, 347-- 360. Google ScholarCross Ref
- Jacob Solomon. 2014. Customization bias in decision support systems. Proceedings of the 32nd annual ACM conference on Human factors in computing systems CHI '14, ACM Press, 3065--3074. http://doi.org/10.1145/2556288.2557211 Google ScholarDigital Library
- Amos Tversky and Daniel Kahneman. 1973. Availability: A heuristic for judging frequency and probability. Cognitive Psychology 5, 207--232. Google ScholarCross Ref
- Yunfeng Zhang, Rachel K.E. Bellamy, and Wendy A. Kellogg. 2015. Designing Information for Remediating Cognitive Biases in Decision-Making. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15, ACM Press, 2211-- 2220. http://doi.org/10.1145/2702123.2702239 Google ScholarDigital Library
- The History And Evolution Of Fantasy Sports. Retrieved April 13, 2016 from http://futureoffantasy.com/the-history-and-evolutionof-fantasy-sportsGoogle Scholar
- How the Daily Fantasy Sports Industry Turns Fans Into Suckers - The New York Times. Retrieved April 13, 2016 from http://www.nytimes.com/2016/01/06/magazine/howthe-daily-fantasy-sports-industry-turns-fans-intosuckers.html?_r=1Google Scholar
Index Terms
- A Game of Research: Information Management and Decision-making in Daily Fantasy Sports
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