Self-Monitoring of Emotions and Mood Using a Tangible Approach

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 ar...

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Main Author: Federico Sarzotti
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Computers
Subjects:
Online Access:http://www.mdpi.com/2073-431X/7/1/7
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spelling doaj-d3c09fe98c814a85ae48c80e8a6f1ab72020-11-24T22:58:43ZengMDPI AGComputers2073-431X2018-01-0171710.3390/computers7010007computers7010007Self-Monitoring of Emotions and Mood Using a Tangible ApproachFederico Sarzotti0Department of Computer Science, University of Torino, 10124 Turin, ItalyNowadays 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.http://www.mdpi.com/2073-431X/7/1/7moodquantified selftangible interfacesemotionspersonal informaticsubiquitous technologies
collection DOAJ
language English
format Article
sources DOAJ
author Federico Sarzotti
spellingShingle Federico Sarzotti
Self-Monitoring of Emotions and Mood Using a Tangible Approach
Computers
mood
quantified self
tangible interfaces
emotions
personal informatics
ubiquitous technologies
author_facet Federico Sarzotti
author_sort Federico Sarzotti
title Self-Monitoring of Emotions and Mood Using a Tangible Approach
title_short Self-Monitoring of Emotions and Mood Using a Tangible Approach
title_full Self-Monitoring of Emotions and Mood Using a Tangible Approach
title_fullStr Self-Monitoring of Emotions and Mood Using a Tangible Approach
title_full_unstemmed Self-Monitoring of Emotions and Mood Using a Tangible Approach
title_sort self-monitoring of emotions and mood using a tangible approach
publisher MDPI AG
series Computers
issn 2073-431X
publishDate 2018-01-01
description 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.
topic mood
quantified self
tangible interfaces
emotions
personal informatics
ubiquitous technologies
url http://www.mdpi.com/2073-431X/7/1/7
work_keys_str_mv AT federicosarzotti selfmonitoringofemotionsandmoodusingatangibleapproach
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