Presentation on theme: "NAFEES AHMED Klaus mueller"— Presentation transcript:
1Gamification as a Paradigm for the Evaluation of Visual Analytics Systems NAFEES AHMEDKlaus muellerI’m Nafees Ahmed from Stony Brook University, here to present an alternative approach towards evaluation using games.VISUAL ANALYTICS AND IMAGING LABDEPT OF COMPUTER SCIENCE
2EVALUATE visualization? fx?We are all gathered here today for at least one common thing, we still consider visualization evaluation to be a challenging problem. How do you know if your visualization is good or bad?We don't know every bit of human eye and brainWe don't have a magic formula that gives us a number to rely on (atleast not yet)
3EVALUATE visualization? FEEDBACKTASKResearchers have to rely heavily on tests with feedbacks from real people.Let it be a lab study or a crowdsourced one, the motivation for these people to work generally is always is money. This has many well known limitations and extrinsic motivation doesn’t always give us the right result.
4EVALUATE visualization? FEEDBACKAs an alternate, we thought of replacing the tasks with a purpose designed game with enjoyment as the only compensation for the test users.
5Voluntary Participation undivided attention Why games?Voluntary Participation undivided attentionRepeated engagementfast learning….Why games? Players play the game voluntarily and they stay engaged. Games have these inherent ability of bringing out such traits from the players.
6Why games? GAME MECHANICS A game designer ensure such engagement by carefully designing how the game behaves in response to the player – in simple words they are called game mechanics. Since the history of games is so rich, we have an ample collection of successful mechanics at our disposal.
7Why games? GAME MECHANICS Human based computation Gamification FourSquare Samsung Nation….fold.it eteRNA ESP Game….People have utilized such mechanics in two ways.
8Looking at Color C , which one seems on top? A or B? The problemLooking at Color C , which one seems on top? A or B?As a case study, we pick a simple problem. We want to know how well blending algorithm works for perception.And transparency perception is the ability to guess the ordering between two layers given the blended color.
9Local blending with blurring AlgorithmsPorter & DuffHue PreservingLocal blendingLocal blending with blurring[Porter 84][Chuang 09][Wang 09]We considered evaluating the classic porter and duff alpha blending. And also few of the newer ones.[For evaluation of an algorithm, we decided to take a brute force approach of have user evaluation of the whole color space of foreground, background and transparency levels.]
11findings fast Data collection Better Data quality Low running cost Deeper analysis30,000 data points in 2 weeksNoise free dataOnly the initial costCan provide heavy data driven analysis.
12BUT… New game design takes time Making the game popular is not assured No generic design guidelineSkewed demographicVerification and validation of game.
13Looking forward Find the sweet spot of usage Generalized game design for visualization problemsRefinement through adaptation and usage
14THANK you http://vail.cewit.stonybrook.edu/Projects/HPU/Disguise NAFEES AHMEDKlaus muellerWe hope this method gets adapted and utilized in even more creative ways in upcoming years.Thank You.VISUAL ANALYTICS AND IMAGING LABDEPT OF COMPUTER SCIENCE