Skip to main content

2018 | OriginalPaper | Buchkapitel

Measuring Focused Attention Using Fixation Inner-Density

verfasst von : Wen Liu, Soussan Djamasbi, Andrew C. Trapp, Mina Shojaeizadeh

Erschienen in: Augmented Cognition: Users and Contexts

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Examining user reactions via the unobtrusive method of eye tracking is becoming increasingly popular in user experience studies. A major focus of this type of research is accurately capturing user attention to stimuli, which is typically established by translating raw eye movement signals into fixations, that is, ocular events characterized by relatively stable gaze over a specific stimulus. Grounded in the argument that inner-density of gaze points within a fixation represents focused attention, a recent study has developed the fixation-inner-density (FID) methodology, which identifies fixations based on the compactness of individual gaze points. In this study we compare the FID filter with a widely used method of fixation identification, namely the I-VT filter. To do so we use a set of measures that investigate the distribution of gaze points at a micro-level, that is, the patterns of individual gaze points within each fixation. Our results show that in general fixations identified by the FID filter are significantly denser and more compact around their fixation center. They are also more likely to have randomly distributed gaze points within the square box that spatially bounds a fixation. Our results also show that fixation duration is significantly different between the two methods. Because fixation is a major unit of analysis in behavioral studies and fixation duration is a major representation of the intensity of attention, awareness, and effort, our results suggest that the FID filter is likely to increase the sensitivity of such eye tracking investigations into behavior.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Djamasbi, S.: Eye tracking and web experience. AIS Trans. Hum.-Comput. Interact. 6(2), 37–54 (2014)CrossRef Djamasbi, S.: Eye tracking and web experience. AIS Trans. Hum.-Comput. Interact. 6(2), 37–54 (2014)CrossRef
2.
Zurück zum Zitat Nyström, M., Holmqvist, K.: An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data. Behav. Res. Methods 42(1), 188–204 (2010)CrossRef Nyström, M., Holmqvist, K.: An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data. Behav. Res. Methods 42(1), 188–204 (2010)CrossRef
3.
Zurück zum Zitat Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: Proceedings of the 2000 Symposium on Eye Tracking Research & Applications, pp. 71–78. ACM, November 2000 Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: Proceedings of the 2000 Symposium on Eye Tracking Research & Applications, pp. 71–78. ACM, November 2000
5.
Zurück zum Zitat Trapp, A.C., Liu, W., Djamasbi, S.: New density-based optimization formulations and algorithms to identify fixations in gaze data. In: Presented in INFORMS Annual Meeting, Houston, TX, INFORMS, Hanover, MD (2017) Trapp, A.C., Liu, W., Djamasbi, S.: New density-based optimization formulations and algorithms to identify fixations in gaze data. In: Presented in INFORMS Annual Meeting, Houston, TX, INFORMS, Hanover, MD (2017)
6.
Zurück zum Zitat Mitchell, A.: The ESRI Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics. ESRI Guide to GIS analysis (2005) Mitchell, A.: The ESRI Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics. ESRI Guide to GIS analysis (2005)
8.
Zurück zum Zitat Olsen, A.: The Tobii I-VT fixation filter. Tobii Technology (2012) Olsen, A.: The Tobii I-VT fixation filter. Tobii Technology (2012)
9.
Zurück zum Zitat Blignaut, P.: Fixation identification: The optimum threshold for a dispersion algorithm. Atten. Percept. Psychophys. 71(4), 881–895 (2009)CrossRef Blignaut, P.: Fixation identification: The optimum threshold for a dispersion algorithm. Atten. Percept. Psychophys. 71(4), 881–895 (2009)CrossRef
10.
Zurück zum Zitat Komogortsev, O.V., Gobert, D.V., Jayarathna, S., Koh, D.H., Gowda, S.M.: Standardization of automated analyses of oculomotor fixation and saccadic behaviors. IEEE Trans. Biomed. Eng. 57(11), 2635–2645 (2010)CrossRef Komogortsev, O.V., Gobert, D.V., Jayarathna, S., Koh, D.H., Gowda, S.M.: Standardization of automated analyses of oculomotor fixation and saccadic behaviors. IEEE Trans. Biomed. Eng. 57(11), 2635–2645 (2010)CrossRef
11.
Zurück zum Zitat Gurobi Optimization, Inc.: Gurobi Optimizer 7.5.1 Reference Manual (2017) Gurobi Optimization, Inc.: Gurobi Optimizer 7.5.1 Reference Manual (2017)
Metadaten
Titel
Measuring Focused Attention Using Fixation Inner-Density
verfasst von
Wen Liu
Soussan Djamasbi
Andrew C. Trapp
Mina Shojaeizadeh
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-91467-1_9