TU Darmstadt / ULB / TUbiblio

Visual Analytics of Work Behavior Data - Insights on Individual Differences

Koldijk, Saskia ; Bernard, Jürgen ; Ruppert, Tobias ; Kohlhammer, Jörn ; Neerincx, Mark A. ; Kraaij, Wessel (2015)
Visual Analytics of Work Behavior Data - Insights on Individual Differences.
Eurographics Conference on Visualization (EuroVis).
doi: 10.2312/eurovisshort.20151129
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Stress in working environments is a recent concern. We see potential in collecting sensor data to detect patterns in work behavior with potential danger to well-being. In this paper, we describe how we applied visual analytics to a work behavior dataset, containing information on facial expressions, postures, computer interactions, physiology and subjective experience. The challenge is to interpret this multi-modal low level sensor data. In this work, we alternate between automatic analysis procedures and data visualization. Our aim is twofold: 1) to research the relations of various sensor features with (stress related) mental states, and 2) to develop suitable visualization methods for insight into a large amount of behavioral data. Our most important insight is that people differ a lot in their (stress related) work behavior, which has to be taken into account in the analyses and visualizations.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2015
Autor(en): Koldijk, Saskia ; Bernard, Jürgen ; Ruppert, Tobias ; Kohlhammer, Jörn ; Neerincx, Mark A. ; Kraaij, Wessel
Art des Eintrags: Bibliographie
Titel: Visual Analytics of Work Behavior Data - Insights on Individual Differences
Sprache: Englisch
Publikationsjahr: 2015
Verlag: Eurographics Association, Goslar
Veranstaltungstitel: Eurographics Conference on Visualization (EuroVis)
DOI: 10.2312/eurovisshort.20151129
Kurzbeschreibung (Abstract):

Stress in working environments is a recent concern. We see potential in collecting sensor data to detect patterns in work behavior with potential danger to well-being. In this paper, we describe how we applied visual analytics to a work behavior dataset, containing information on facial expressions, postures, computer interactions, physiology and subjective experience. The challenge is to interpret this multi-modal low level sensor data. In this work, we alternate between automatic analysis procedures and data visualization. Our aim is twofold: 1) to research the relations of various sensor features with (stress related) mental states, and 2) to develop suitable visualization methods for insight into a large amount of behavioral data. Our most important insight is that people differ a lot in their (stress related) work behavior, which has to be taken into account in the analyses and visualizations.

Freie Schlagworte: Business Field: Digital society, Research Area: Modeling (MOD), Pattern recognition, Signal processing, Data analysis, Data visualization
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 08 Mai 2019 07:53
Letzte Änderung: 08 Mai 2019 07:53
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen