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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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We explore whole-body interaction with Tweetris, a game where two players competitively race to form Tetris shapes (tetrominos) with their body. We debuted Tweetris at an all-night, public art event, collecting 6000 winning body shapes made by more than 270 players. Tweetris employs a novel form of interaction cue we call a discretized silhouette: the mapping from physical continuous input is discretized to create a virtual body representation. Discretization creates an interesting set of properties: notably, players have a great deal of flexibility in how they create a given shape with their body. We classify and analyze successful player strategies as design input for whole body interaction, and present results showing how small differences in environment impacted player behaviour. We argue that our approach to eliciting and analyzing interaction in Tweetris has general utility to researchers and designers and we formalize it as the LoFi (Low-Fidelity) Elicitation Protocol.