Tracking mobile workers' daily activities with the contextual activity sampling system

Hanni Muukkonen, Kai Hakkarainen, Shupin Li, Matti Vartiainen

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

2 Citations (Scopus)


The present study used smart phones to collect contextualized data on professionals' daily working activities; our purpose was to trace professionals' work engagement and socio-emotional activities. We used two tools, the Contextual Activity Sampling System (CASS-Q) and ContextLogger for collecting, in parallel, complementary self-report and location-sensor data. This allowed us to compare the types of data and their richness of information. The methods and instruments developed enabled one to trace various aspects of the mobile multi-locational workers' positive and negative self-reported affects in work contexts, as well as their activities and experiences of challenge and competence. The secondary working contexts (e.g., seminars, meetings, customer's office), especially, included interactions with others leading to both high positive and negative affects. The results also indicate that the participants' self-reported locations corresponded closely with the actual location documented by ContextLogger. Our results suggest possibilities for developing an algorithm that uses location information to automatically recognize certain activity contexts.

Original languageEnglish
Title of host publicationDesign, User Experience, and Usability
Subtitle of host publicationUser Experience Design for Diverse Interaction Platforms and Environments - Third International Conference, DUXU 2014, Held as Part of HCI Int. 2014, Proc.
Number of pages12
EditionPART 2
Publication statusPublished - 1 Jan 2014
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Design, User Experience, and Usability - Heraklion, Greece
Duration: 22 Jun 201427 Jun 2014
Conference number: 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8518 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Design, User Experience, and Usability
Abbreviated titleDUXU


  • event sampling
  • location data
  • mobile data collection
  • mobile work
  • self-report


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