Thought and life logging: A pilot study

N. Hernández*, G. Yavuz, R. Eşrefoğlu, T. Kepez, A. Özdemir, B. Demiray, H. Alan, C. Ersoy, S. Untersander, B. Arnrich

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

5 Citations (Scopus)

Abstract

Thought and Life Logging (Tholilo) is an interdisciplinary research project of computer engineers and psychologists. One aspect of Tholilo is to understand how daily context influence our mood and temporal thinking. In this contribution, we present a data collection framework which records sensor data and survey responses from smartphones to infer user’s context, user’s mood and temporal thinking. In a pilot study, data is collected from two collectives located in Turkey and in Switzerland. We examine correlations between phone data and surveys. As a proof of concept, we show how phone data is correlated with changes in participant’s mood. We conclude with lessons learned and future work.

Original languageEnglish
Title of host publicationUbiquitous Computing and Ambient Intelligence
Subtitle of host publicationSensing, Processing, and Using Environmental Information - 9th International Conference, UCAmI 2015, Proceedings
EditorsJuan M. García-Chamizo, Giancarlo Fortino, Sergio F. Ochoa
PublisherSpringer Verlag
Pages26-36
Number of pages11
ISBN (Print)9783319264004
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event9th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2015 - Puerto Varas, Chile
Duration: 1 Dec 20154 Dec 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9454
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2015
Country/TerritoryChile
CityPuerto Varas
Period1/12/154/12/15

Keywords

  • Lifestyle
  • Mobile sensing
  • Physical activity
  • Social interaction

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