Location matters, especially for non-salient features-An eye-tracking study on the effects of web object placement on different types of websites
暂无分享,去创建一个
Alexandre N. Tuch | Klaus Opwis | Javier A. Bargas-Avila | Sandra P. Roth | Elisa D. Mekler | K. Opwis | S. Roth
[1] Miriam Yom,et al. WOOS - Ein Messinstrument für die wahrgenommene Orientierung in Online-Shops , 2004, MuC.
[2] tephen E. Palmer. The effects of contextual scenes on the identification of objects , 1975, Memory & cognition.
[3] Mary C. Dyson,et al. The effect of violating visual conventions of a website on user performance and disorientation: how bad can it be? , 2008, SIGDOC '08.
[4] Antti Oulasvirta,et al. Expectations and memory in link search , 2005, Comput. Hum. Behav..
[5] N. M. Morris,et al. On Looking into the Black Box: Prospects and Limits in the Search for Mental Models , 1986 .
[6] Andrew Dillon,et al. Why structure and genre matter for users of digital information: A longitudinal experiment with readers of a web-based newspaper , 2006, Int. J. Hum. Comput. Stud..
[7] Klaus Opwis,et al. Mental models for web objects: Where do users expect to find the most frequent objects in online shops, news portals, and company web pages? , 2010, Interact. Comput..
[8] Barbara S. Chaparro,et al. Where's the Search? Re-examining User Expectations of Web Objects , 2006 .
[9] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[10] Michael L. Bernard. Examining User Expectations for the Location of Common E-Commerce Web Objects , 2003 .
[11] Klaus Opwis,et al. Intranet satisfaction questionnaire: Development and validationof a questionnaire to measure user satisfaction with the Intranet , 2009, Comput. Hum. Behav..
[12] A Bargas-AvilaJavier,et al. Mental models for web objects , 2010 .
[13] Alexandre N. Tuch,et al. Vertical versus dynamic menus on the world wide web: Eye tracking study measuring the influence of menu design and task complexity on user performance and subjective preference , 2011, Comput. Hum. Behav..
[14] T. Foulsham,et al. What can saliency models predict about eye movements? Spatial and sequential aspects of fixations during encoding and recognition. , 2008, Journal of vision.
[15] F. Bartlett,et al. Remembering: A Study in Experimental and Social Psychology , 1932 .
[16] Ruth V. Small,et al. Websites that satisfy users: a theoretical framework for Web user interface design and evaluation , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.
[17] Tommy Strandvall,et al. Eye Tracking in Human-Computer Interaction and Usability Research , 2009, INTERACT.
[18] I. Biederman,et al. On the information extracted from a glance at a scene. , 1974, Journal of experimental psychology.
[19] Michael L. Bernard. Developing Schemas for the Location of Common Web Objects , 2001 .
[20] Donald A. Norman,et al. Some observations on mental models , 1987 .
[21] Alexandre N. Tuch,et al. The role of visual complexity and prototypicality regarding first impression of websites: Working towards understanding aesthetic judgments , 2012, Int. J. Hum. Comput. Stud..
[22] W. H. F. Barnes. The Nature of Explanation , 1944, Nature.
[23] TorralbaAntonio,et al. Modeling the Shape of the Scene , 2001 .
[24] Jodi L. Davenport,et al. Scene Consistency in Object and Background Perception , 2004, Psychological science.
[25] Benjamin W Tatler,et al. The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor biases and image feature distributions. , 2007, Journal of vision.
[26] A Bargas-AvilaJavier,et al. Intranet satisfaction questionnaire , 2009 .
[27] Mounia Lalmas,et al. On saliency, affect and focused attention , 2012, CHI.
[28] Rocky Ross,et al. Mental models , 2004, SIGA.
[29] W VaughanMisha,et al. Why structure and genre matter for users of digital information , 2006 .
[30] Antti Oulasvirta,et al. Task demands and memory in web interaction: a levels of processing approach , 2004, Interact. Comput..
[31] I. Biederman,et al. Scene perception: Detecting and judging objects undergoing relational violations , 1982, Cognitive Psychology.
[32] T. Sanocki. Time course of object identification: evidence for a global-to-local contingency. , 1993, Journal of experimental psychology. Human perception and performance.