Degree Type

Thesis

Date of Award

1-1-2006

Degree Name

Master of Science

Major

Journalism and Mass Communication

Abstract

The sense of vision and the phenomenon of visual attention constitute some of the prime processes with which human beings communicate with their non-mediated and mediated environment. The objective of this study was to explore how the human brain, as part of a complex visual system, deploys its attentional resources to human face and non-face forms and objects, when tested as primary visual elements in basic print-media advertisement layouts. With the theoretical basis of a two-component attention framework that distinguishes between image-based bottom-up attention (50ms) and task-dependent top-down attention (250ms), it was hypothesized that faces would evoke significantly higher bottom-up attention than non-face forms, whereas non-face forms and objects would evoke significantly higher top-down attention when compared to faces. Using a repeated measures design with twenty participants, and brain wave measures or electroencephalographic (EEG) activity as the dependent variable, the study examined differences in attention evoked by four categories of stimuli - faces, products, product-in-use and abstract drawings across three cortical regions of the brain, the occipital, temporal and parietal lobes. Wilcoxon signed-ranks test showed that faces did not evoke significant bottom-up attention, whereas abstract drawings and product-in-use evoked significant attention both in the bottom-up and top-down attention frameworks. These results suggest that processing of simple and familiar stimuli like faces might be more implicit and holistic when they are juxtaposed with more novel and complex forms of stimuli like abstract drawings and products-in-use that call forth higher attentional and cognitive resources. Implications of these results for further studies of advertising effects are discussed.

Copyright Owner

Saraswathi Bellur-Thandaveshwara

Language

en

OCLC Number

76804275

File Format

application/pdf

File Size

116 pages

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