November 3rd, 2014

[conference] MobyDick: An Interactive Multi-swimmer Exergame

Woohyeok Choi, Jeungmin Oh, Taiwoo Park, Sungjun Kang, Miri Moon, Uichin Lee, Inseok Hwang, Junehwa Song Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems (SenSys '14), 76 -- 90DOI: 10.1145/2668332.2668352

Abstract

The unique aquatic nature of swimming makes it very difficult to use social or technical strategies to mitigate the tediousness of monotonous exercises. In this study, we propose MobyDick, a smartphone-based multi-player exergame designed to be used while swimming, in which a team of swimmers collaborate to hunt down a virtual monster. In this paper, we present a novel, holistic game design that takes into account both human factors and technical challenges. Firstly, we perform a comparative analysis of a variety of wireless networking technologies in the aquatic environment and identify various technical constraints on wireless networking. Secondly, we develop a single phone-based inertial and barometric stroke activity recognition system to enable precise, real-time game inputs. Thirdly, we carefully devise a multi-player interaction mode viable in the underwater environment highly limiting the abilities of human communication. Finally, we prototype MobyDick on waterproof off-the-shelf Android phones, and deploy it to real swimming pool environments (n = 8). Our qualitative analysis of user interview data reveals certain unique aspects of multi-player swimming games.

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