ABSTRACT
Aim-assistance techniques have been shown to work for player balancing in 2D environments, but little information exists about how well these techniques will work in a 3D FPS game. We carried out three studies of the performance of five different aim assists in an Unreal-based game world. The assists worked well in a target-range scenario (study 1), but their performance was reduced when game elements were introduced in a walkthrough map (study 2). We systematically examined the relationships between realistic game elements and assist performance (study 3). These studies show that two techniques -- bullet magnetism and area cursor -- worked well in a wide variety of situations. Other techniques that worked well were too perceptible, and some previously-successful techniques did not work well in any game-like scenario. Our studies are the first to provide empirical evidence of the performance of aim assist techniques in 3D environments, and the first to identify the complexities in using these techniques in real FPS games.
Supplemental Material
- Adams, E. Fundamentals of Game Design. New Riders, 2010. Google ScholarDigital Library
- Adams, E. Difficulty Modes and Dynamic Difficulty Adjustment. Gamasutra: The Art & Business of Making Games Blog. Published May 2008, gamasutra.com/ view/feature/3660/the_designers_notebook_.phpGoogle Scholar
- Balakrishnan, R. "Beating" Fitt's law: virtual enhancements for pointing facilitation. IJHCS, 61, (2004), 857--874. Google ScholarDigital Library
- Bateman, S., Mandryk, R.L., Stach, T. and Gutwin, C. Target assistance for subtly balancing competitive play. In CHI 2011, 2355--2364. Google ScholarDigital Library
- Blanch, R., Guiard Y., and Beaudouin-Lafon, M. Semantic Pointing: Improving Target Acquisition with Control-Display Ratio Adaptation. In CHI 2004, 24--29. Google ScholarDigital Library
- Bostan, B., and Ögüt, S. Game challenges and difficulty levels: lessons learned From RPGs. In International Simulation and Gaming Association Conference, 2009.Google Scholar
- Cockburn, A, and Firth, A. Improving the Acquisition of Small Targets. In HCI03 Conference on People and Computers XVII, 2003. 181--196.Google Scholar
- Csíkszentmihályi, M. Flow: The Psychology of Optimal Experience. Harper and Row, 1990.Google Scholar
- Elmqvist, N., and Fekete, J. Semantic Pointing for Object Picking in Complex 3D Environments. In GI 2008, 243--250. Google ScholarDigital Library
- Entertainment Software Association. 2013 Essential Facts About the Computer and Video Game Industry www.theesa.com/facts/pdfs/ESA_EF_2013.pdfGoogle Scholar
- Falstein, N. Understanding fun -- the Theory of Natural Funativity. In Introduction to Game Development, Rabin, S. (ed.), 71--98. Charles River Media, 2005.Google Scholar
- Findlater, L, Jansen, A., Shinohara, K., Dixon, M., Kamb, P., Rakita. J., and Wobbrock, J.O. Enhanced Area Cursors Reducing Fine Pointing Demands for People with Motor Impairments. In UIST 2010, 153--162. Google ScholarDigital Library
- Fitts, P.M. (1954). The information capacity of the human motor system in controlling the amplitude of movement. J.Exp. Psych., 47, 381--391.Google Scholar
- Flatla, D., Gutwin, C., Nacke, L.E., Bateman, S., and Mandryk, R.L. Calibration Games: Making Calibration Tasks Enjoyable by Adding Motivating Game Elements. In UIST 2011, 403--412. Google ScholarDigital Library
- Guiard, Y., Blanch, R., and Beaudouin-Lafon, M. Object pointing: a complement to bitmap pointing in GUIs. In GI 2004, 9--16. Google ScholarDigital Library
- Herbrich, R., Minka, T., and Graepel, T. TrueSkill(TM): A Bayesian skill rating system. In Advances in Neural Information Processing Systems, 20, 569--576, 2007.Google Scholar
- Hunicke, R. The case for dynamic difficulty adjustment in games. In ACE 2005, vol. 265, 429--433. Google ScholarDigital Library
- Kabbash, P. and Buxton, W. The "Prince" Technique: Fitts' Law and Selection Using Area Cursors. In CHI 1995, 273--279. Google ScholarDigital Library
- Looser, J., Cockburn, A. and Savage, J. On the Validity of Using First-Person Shooters for Fitts' Law Studies. In HCI 2005, 33--36.Google Scholar
- Mandryk, R.L., Gutwin, C. Perceptibility and Utility of Sticky Targets. In GI 2008, 65--72. Google ScholarDigital Library
- Natapov, D., Castellucci, S. J., and MacKenzie, I. S. (2009). ISO 9241--9 evaluation of video game controllers. In GI 2009. 223--230. Google ScholarDigital Library
- Newheiser, Mark. Playing Fair: A Look at Competition in Gaming. Strange Horizons, www.strangehorizons. com/2009/20090309/newheiser-a.shtmlGoogle Scholar
- Sweetser, P. and Wyeth, P. GameFlow: a model for evaluating player enjoyment in games. Computers in Entertainment, 3, 3--3, 205. Google ScholarDigital Library
- Vorderer, P., Hartmann, T., and Klimmt, C. Explaining the enjoyment of playing video games: the role of competition. In Entertainment Computing'03, 1--9. Google ScholarDigital Library
- Wobbrock, J.O., Fogarty, J., Liu, S., Kimuro, S., Harada, S. The Angle Mouse: Target-Agnostic Dynamic Gain Adjustment Based on Angular Deviation. In CHI 2009, 1401--1410. Google ScholarDigital Library
- Worden A, Walker N, Bharat K, Hudson S. Making Computers Easier for Older Adults to Use: Area Cursors and Sticky Icons. In CHI 1997, 266--271 Google ScholarDigital Library
- Youssef, A. and Cossell, S. Thoughts on adjusting perceived difficulty in games. In Australasian Conference on Interactive Entertainment, 1--4, 2009. Google ScholarDigital Library
Index Terms
- The effectiveness (or lack thereof) of aim-assist techniques in first-person shooter games
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