SpaceMaze: Incentivizing Correct Mobile Crowdsourced Sensing Behavior with a Sensified Minigame

Budde, Matthias, Rohe, Jan Felix, Hirschoff, Lina , Schlosser, Patrick, Beilg, Michael, Holopainen, Jussi and Schankin, Andrea (2020) SpaceMaze: Incentivizing Correct Mobile Crowdsourced Sensing Behavior with a Sensified Minigame. Behaviour & Information Technology . ISSN 0144-929X

Full content URL: https://doi.org/10.1080/0144929X.2020.1772878

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SpaceMaze: incentivizing correct mobile crowdsourced sensing behaviour with a sensified minigame
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Abstract

Modern mobile phones are equipped with many sensors, which can increasingly be used to sense various environmental phenomena. In particular, mobile sensing has enabled crowdsourced data collection at an unprecedented scale. However, as laypersons are involved in this, concerns regarding the data quality arise. This work explores the gamification of smartphone-based measurement processes in practice by embedding a sensing task into a mobile minigame. The underlying idea is — rather than to educate the user on how to correctly perform a measurement task — to opportunistically execute the measurement in the background once the smartphone is in a suitable context. To this end, this paper presents the design and evaluation of SpaceMaze, a smartphone game with the goal of minimizing user error by introducing appropriate game mechanics to influence the phone context, using the example of mobile noise level monitoring. A large user study that compares SpaceMaze to two non-gamified apps for noise level monitoring (N=360 in total) shows that SpaceMaze can successfully reduce user errors when compared to simple non-gamified ambient noise level monitoring applications and that the minigame is generally perceived as being enjoyable. Solutions for remaining problems, such as noise generated by the players, are discussed.

Keywords:human error, Data quality, Ubiquitous computing, Human computer interaction, Gamification, environmental sensing
Subjects:G Mathematical and Computer Sciences > G440 Human-computer Interaction
Divisions:College of Science > School of Computer Science
ID Code:41029
Deposited On:22 Jun 2020 10:51

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