Interaction with magic lenses: Real-world validation of a Fitts' law model

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2011, Pages 2725-2728

  Rohs, Michael ^a,b   Oulasvirta, Antti ^c,d   Suomalainen, Tiia ^c,d  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

^c HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY   (Finland)

^d UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Augmented reality; Field experiment; Fitts' law; Humanperformance modeling; Magic lens pointing; Target acquisition

Indexed keywords

DISPLAY DEVICES;

FIELD EXPERIMENT; FITTS'S LAW; HUMAN PERFORMANCE; HUMANPERFORMANCE MODELING; LAWS MODEL; MAGIC LENS POINTING; MAGICLENSES; REAL-WORLD; TARGET ACQUISITION; TWO-COMPONENT;

AUGMENTED REALITY;

EID: 79958152378     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1978942.1979343     Document Type: Conference Paper

References (10)

1. Fitts, P.M. The information capacity of the human motor-system in controlling the amplitude of movement. J. Exp. Psychol. 47 (1954), 381-391.
2. Gillan, D.J., Holden, K., Adams, S., Rudisill, M., and Magee, L. How should Fitts' law be applied to humancomputer interaction? Int. w. Comp., 4, 3, 1992, 291-313.
3. Grossman, T. and Balakrishnan, R. A probabilistic approach to modeling two-dimensional pointing. ACM Trans. Comput.-Hum. Interact. 12, 3 (2005), 435-459. (Pubitemid 43892811)
4. Kondraske, G. An angular motion Fitt's law for human performance modeling and prediction. Proc. Annual Int. Conf. of the IEEE, vol. 1. Engineering in Medicine and Biology Society, 1994, 307-308.
5. MacKenzie, I.S. and Buxton, W. Extending Fitts' law to two-dimensional tasks. Proc. CHI 1992, 219-226.
6. Rohs, M. and Oulasvirta, A. Target acquisition with camera phones when used as magic lenses. Proc. CHI 2008. ACM Press (2008), 1409-1418.
7. Soukoreff, R.W. and MacKenzie, I.S. Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI. Int. J. Hum.-Comput. Stud. 61, 6 (Dec. 2004), 751-789.
8. Wagner, D., Reitmayr, G., Mulloni, A., Drummond, T., and Schmalstieg, D. Pose tracking from natural features on mobile phones. Proc. ISMAR 2008. IEEE, 125-134.
9. Wang, J., Zhai, S., and Canny, J. Camera phone based motion sensing: interaction techniques, applications and performance study. Proc. UIST 2006. ACM, 101-110.
10. Ware, C. and Balakrishnan, R. Reaching for objects in VR displays: lag and frame rate. ACM Trans. Comput.-Hum. Interact. 1, 4 (Dec. 1994), 331-356.