Social navigation with the collective mobile mood monitoring system

  • Authors:
  • Arttu Perttula;Antti Koivisto;Riikka Mäkelä;Marko Suominen;Jari Multisilta

  • Affiliations:
  • Tampere University of Technology, Pori, Finland;Tampere University of Technology, Pori, Finland;Tampere University of Technology, Pori, Finland;Tampere University of Technology, Pori, Finland;Tampere University of Technology, Pori, Finland

  • Venue:
  • Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments
  • Year:
  • 2011

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Abstract

At large-scale events, people could benefit from the experiences of others to help find interesting areas. Also, more and more pervasive and ubiquitous mobile devices could be utilized for navigation in different situations. In this paper, we will present a manual input mobile computing platform for monitoring and collecting information about people's moods at a large-scale public event. In addition to places and venues, moods are represented in real time on a public map as a social navigation recommendation system. Furthermore, as a step towards future work, we utilized consumer-level brainwave measurement equipment to build a mobile prototype research application for semi-automatic mood monitoring. The aims of the field pilot study and the follow-up examination were to explore the usefulness and effect of the mobile mood sharing system that was developed on event visitors. In particular, the study focuses on benefits of the social aspects, in addition to spatial and semantic navigation. With today's available technology, we have to balance in the comfort zone between required user attention and user experience. In any case, the results of the study broaden the field of social mobile applications and facilitate the diffusion of these into different large-scale public events.