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Computers 2018, 7(1), 7;

Self-Monitoring of Emotions and Mood Using a Tangible Approach

Department of Computer Science, University of Torino, 10124 Turin, Italy
This paper is an extended version of paper presented at the HCI International 2015 Parallel Session on Quantified Self and Personal Informatics entitled “Engaging Users in Self-Reporting Their Data: A Tangible Interface for Quantified Self”.
Received: 1 November 2017 / Revised: 19 December 2017 / Accepted: 19 December 2017 / Published: 8 January 2018
(This article belongs to the Special Issue Quantified Self and Personal Informatics)
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Nowadays Personal Informatics (PI) devices are used for sensing and saving personal data, everywhere and at any time, helping people improve their lives by highlighting areas of good and bad performances and providing a general awareness of different levels of conduct. However, not all these data are suitable to be automatically collected. This is especially true for emotions and mood. Moreover, users without experience in self-tracking may have a misperception of PI applications’ limits and potentialities. We believe that current PI tools are not designed with enough understanding of such users’ needs, desires, and problems they may encounter in their everyday lives. We designed and prototype the Mood TUI (Tangible User Interface), a PI tool that supports the self-reporting of mood data using a tangible interface. The platform is able to gather six different mood states and it was tested through several participatory design sessions in a secondary/high school. The solution proposed allows gathering mood values in an amusing, simple, and appealing way. Users appreciated the prototypes, suggesting several possible improvements as well as ideas on how to use the prototype in similar or totally different contexts, and giving us hints for future research. View Full-Text
Keywords: mood; quantified self; tangible interfaces; emotions; personal informatics; ubiquitous technologies mood; quantified self; tangible interfaces; emotions; personal informatics; ubiquitous technologies

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Sarzotti, F. Self-Monitoring of Emotions and Mood Using a Tangible Approach. Computers 2018, 7, 7.

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