Christina Chung
ABSTRACT
It is well-known that tasks imposing high cognitive load, i.e., the mental effort required to carry out a task, place a strain on people's ability to perform. In light of this, the present study investigates whether poor performance also occurs in human-computation games. That is, do players perform better in game designs that increase the visual information presented? These designs have the advantage of exposing players to more of the solution space, but may come with the caveat of imposing a higher cognitive load. We present a case study by considering alternative layouts differing in the amount of visual information given to players in a human-computation game. The findings of the study seem to support the idea that presenting more information is beneficial to players. This is surprising result that challenges prevailing beliefs about cognitive load, and invites more detailed, future investigation.
- 2017. MATCHMAKERS, https://anonymoususer12.github.io/. (May 2017).Google Scholar
- Paul Chandler and John Sweller. 1991. Cognitive load theory and the format of instruction. Cognition and instruction 8, 4 (1991), 293--332. Google ScholarCross Ref
- Paul Chandler and John Sweller. 1992. The split-attention effect as a factor in the design of instruction. British Journal of Educational Psychology 62, 2 (1992), 233--246. Google ScholarCross Ref
- Paul Chandler and John Sweller. 1996. Cognitive load while learning to use a computer program. Applied cognitive psychology 10, 2 (1996), 151--170. Google ScholarCross Ref
- Christina Chung, Asako Matsuoka, Yueti Yang, Julia Rubin, and Marsha Chechik. 2016. Serious Games for NP-hard Problems: Challenges and Insights. In Proc. of the ICSE Workshop on Games and Software Engineering (GAS@ICSE'16). 29--32.Google ScholarDigital Library
- Seth Cooper, Firas Khatib, Adrien Treuille, Janos Barbero, Jeehyung Lee, Michael Beenen, Andrew Leaver-Fay, David Baker, Zoran Popović, and others. 2010. Predicting protein structures with a multiplayer online game. Nature 466, 7307 (2010), 756--760. Google ScholarCross Ref
- N. Cowan. 2001. The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioural Brain Sciences 24 (2001), 84--114. Google ScholarCross Ref
- Werner Dietl, Stephanie Dietzel, Michael D. Ernst, Nathaniel Mote, Brian Walker, Seth Cooper, Timothy Pavlik, and Zoran Popovic. 2012. Verification Games: Making Verification Fun. In Proc. of the ECOOP Workshop on Formal Techniques for Java-like Programs (FTfJP'12). Google ScholarDigital Library
- Ivan Herman, Guy Melançon, and M Scott Marshall. 2000. Graph visualization and navigation in information visualization: A survey. IEEE Transactions on visualization and computer graphics 6, 1 (2000), 24--43. Google ScholarDigital Library
- Weidong Huang, Peter Eades, and Seok-Hee Hong. 2009. Measuring effectiveness of graph visualizations: A cognitive load perspective. Information Visualization 8, 3 (2009), 139--152. Google ScholarDigital Library
- Alexander Kawrykow, Gary Roumanis, Alfred Kam, Daniel Kwak, Clarence Leung, Chu Wu, Eleyine Zarour, Luis Sarmenta, Mathieu Blanchette, Jérôme Waldispühl, and others. 2012. Phylo: a Citizen Science Approach for Improving Multiple Sequence Alignment. PloS ONE 7, 3 (2012). Google ScholarCross Ref
- George A Miller. 1956. The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological review 63, 2 (1956), 81.Google Scholar
- Y. T. Rad and R. Jabbari. 2012. Use of Global Consistency Checking for Exploring and Refining Relationships between Distributed Models: A Case Study. Master's thesis (2012).Google Scholar
- Julia Rubin and Marsha Chechik. 2013. N-Way Model Merging. In Proc. ESEC/FSE. 301--311.Google ScholarDigital Library
- John Sweller. 1988. Cognitive load during problem solving: Effects on learning. Cognitive science 12, 2 (1988), 257--285. Google ScholarCross Ref
- Melanie Tory and Torsten Moller. 2004. Human factors in visualization research. IEEE transactions on visualization and computer graphics 10, 1 (2004), 72--84. Google ScholarDigital Library
- Luis von Ahn and Laura Dabbish. 2008. Designing Games with a Purpose. Commun. ACM 51, 8 (Aug. 2008), 58--67. Google ScholarDigital Library
- Luis von Ahn, Ruoran Liu, and Manuel Blum. 2006. Peekaboom: A Game for Locating Objects in Images. In Proc. of the Conference on Human Factors in Computing Systems (CHI'06). Google ScholarDigital Library
Index Terms
- The impact of visual load on performance in a human-computation game
Recommendations
Evaluating singleplayer and multiplayer in human computation games
FDG '17: Proceedings of the 12th International Conference on the Foundations of Digital GamesHuman computation games (HCGs) can provide novel solutions to intractable computational problems, help enable scientific breakthroughs, and provide datasets for artificial intelligence. However, our knowledge about how to design and deploy HCGs that ...
A framework for exploring and evaluating mechanics in human computation games
FDG '17: Proceedings of the 12th International Conference on the Foundations of Digital GamesHuman computation games (HCGs) are a crowdsourcing approach to solving computationally-intractable tasks using games. We outline a formal representation of the mechanics in HCGs, providing a structural breakdown to visualize, compare, and explore the ...
User centered game design: evaluating massive multiplayer online role playing games for second language acquisition
Sandbox '08: Proceedings of the 2008 ACM SIGGRAPH symposium on Video gamesUnlike recreational games, serious games do more than entertain the player. Serious games promote acquisition of information and skills that are valued in both the virtual world and the real world. The challenge is to design and develop serious games ...
Comments