IMGD 2905 Project 4 - Option

Hide and Seek

[Game Analytics]

As an alternative to picking your own game and writing a proposal, you can choose to play and analyze the game Hide and Seek, developed by Ph.D. student Shengmei Liu.

In Hide and Seek, the player moves their avatar to see the other player as the seeker, or to avoid being seen as the hider. Unlike traditional hide and seek games, the roles (hider/seeker) switch frequently and randomly.

Hide and Seek was developed as part of a research project studying First Person Shooter games and lag. Hide and Seek isolates first person movement and emulates those patterns used in a first person shooter game. Note, there is no “shooting” in Hide and Seek - just movement. Gameplay is done with different amounts of lag added to each player.

Note: participating can be applied to the class playtesting requirement, too.

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Steps

  1. Sign up and play. See: game-recruit.html

  2. Receive data. Upon completion of the study, you will receive your game data and the data for all other participants up to that point.

  3. Analyze data. See Analysis below for details.

  4. Write report. The report follows the same guidelines and constraints as the standard “you pick” project.

Be sure to include a description of the data set (number of players and games and conditions).

Note, there is no proposal requirement.

Reports are to submitted, as per the standard “you pick” project.

Analysis

You will conduct analysis for the following aspects using the data files provided.

  1. Player performance (score) versus latency. This should include consideration and comparisons for: local latency, network latency, your data and all players’ data.

  2. Player opinions (Quality of Experience) versus latency. This should include analysis versus latency and analysis versus performance. Doing so for only the “all players” data is fine.

  3. “See” or “Be Seen”. The data includes the time periods where a player is either seen or can see. Analysis here can include distributions and/or time series analysis. And, of course, summary statistics.

  4. Demographics. You should analyze at least one aspect of game data versus demographics. This could be performance, opinions, or duration. The demographics data of interest is up to you, but could be: gamer experience, gender, age. Note, for this, you may need to first select the players of interest based on ID then analyze the data.

You should use all appropriate analysis methods (charts, tables, summary statistics) discussed in class and used for prior projects.

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