Correlating the degree of observer's preoccupation and the observation time: visual tasks with OBER2 eyetracker

• Autorzy: Augustyniak P. , Mikrut Z.
• Języki publikacji: EN

Abstrakty

EN

This paper describes a set of visual tasks performed with a goal to find a correlation between observer's preoccupation and the observation time. Several aspects of objects differentiation were investigated: shape complexity, colour, uniqueness and size. Four visual tasks were performed by 10 volunteers. The eyeball position was captured with use of the OBER 2 eyetracker based on the infrared beam reflection measurements. Finally the recorded eyeball traces were subject of statistical processing. Interesting findings are the high attractiveness of complicated shapes and no influence of object's size on the observation time. Another result is an unexpected high inter-observers variation of attention difference in each visual task. The results play a key role in our research on perceptual model of biomedical signals and images. The other applications may be found in the area of visual information usability, ergonomics or perception-like control of automated visual systems.

Słowa kluczowe

EN

eyeball movements; Ober2; eyetracker; visual attention

PL

ruchy gałki ocznej; system pomiarowy Ober2; uwaga wzrokowa

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2002
• Tom: Vol. 4
• Strony: MT1--8
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Augustyniak P.

• Institute of Automatics, University of Mining and Metallurgy, al. Mickiewicza 30, 30 059 Kraków, Poland

autor

Mikrut Z.

• Institute of Automatics, University of Mining and Metallurgy, al. Mickiewicza 30, 30 059 Kraków, Poland

Bibliografia

• [1] AUGUSTYNIAK P., WRZEŚNIOWSKI A., ECG recorder sampling at the variable rate. Proc. 6th Int. Conf. SYMBIOSIS, Szczyrk, Poland, pp. 128-135, 2001.
• [2] AUGUSTYNIAK P., MIKRUT Z., Task-Dependent Parameters of Attention Measured by Two Eyetrackers. JMIT, Vol. 2, pp. BP57-BP65, 2001.
• [3] LAAR P., HESKES T., GIELEN S., Task-dependent learning of attention. Neural Networks, Vol. 10, No. 6, 1997.
• [4] MIKRUT Z., AUGUSTYNIAK P., Estimation of execution time for tasks of objects counting and localisation using the OBER2 device. Proc. 12th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, Reykjavik, 2002. pp. 144-145
• [5] WOLFE J. M., Visual search. In: H. Pashler (ed.) Attention. University College London Press, London UK, 1996
• [6] OBER J., HAJDA J., LOSKA J., JAMICKI M., Application of eye movement measuring system OBER2 to medicine and technology. Proc. of SPIE, Infrared technology and applications, Orlando, USA, vol. 3061, part 1, pp. 327-333, 1997.
• [7] OBER J., LOSKA J., Function of eye movement measurement system OBER2. Proc. Conf. on Medical Informatics and Technologies, MIT 2000, Ustroń-Jaszowiec, pp. BP111 – BP115, 2000 (in Polish).