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Vortrag

Why use Line Drawings?

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83861

Chuang,  L
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Chuang, L. (2005). Why use Line Drawings?. Talk presented at 6. Neurowissenschaftliche Nachwuchskonferenz Tübingen (NeNa '05). Blaubeuren, Germany.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-D495-7
Zusammenfassung
Studies in the field of visual object recognition generally report observed human performance with 2D still images e.g. photographs, line-drawings. One of the main reasons for doing so stems from the ready availability of such stimuli for experimentation (for example, see http://www.cog.brown.edu/~tarr/projects/databank.html). Human visual perception, however, is a dynamic process - as the result of either an active observer or a moving target, the visual experience is rarely static. Hence, it is important to question whether such findings realistically portray daily human behavior. Recent experiments using dynamic stimuli have shown that human performance can differ as a result of introducing natural motion information to the studied object; for example, there is a recognition benefit for when faces are seen moving (e.g., Toole et al, 2002). Such evidence clearly suggests that object motion plays a non-trivial role in visual recognition. Nonetheless, there are challenges - both technical and experimental - that a researcher ought to consider when using dynamic stimuli. Here, I will discuss some of these issues as well as the steps that were adopted, in my research, to overcome them. In particular, I will describe how different types of dynamic stimuli could be generated for various experiments in novel object and face learning, as well as some of software and hardware available for this undertaking. In addition, I will briefly discuss how such stimuli could be presented in psychophysical experiments, such as to control for possible artifacts e.g., timing errors.