ARCHETYPAL SYMBOLS, AVATARS, AND TRUST

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Man is distinguished from the rest of the animal world by the formation and use of symbols, which many researchers consider as the central cognitive process in mankind s thinking. A study of human communication, then, would be incomplete without a consideration of the impact of symbolism. The use of symbols in communication has been a focus of study in many disciplines including psychology, religion, literature, and more. In contemporary research fields, such as computer-mediated communication, the study of culture and symbols is a relatively new focus of effort. While it is well known that the meanings of symbols is both taught and learned through cultural phenomena, this research effort is among the first that looks into the cultural influence of symbol meaning on user trust. This study outlines an experiment and subsequent analysis that revealed sufficient evidence to suggest that the use of symbols associated with positive character traits resulted in increased trust development and with an increased willingness to behave in a trusting way. These results suggest implications in many areas outside the realm of traditional technology studies.

Autorentext

Dr. Rodger Morrison received his doctorate from Auburn University in 2008 and is currently an Assistant Professor of MIS at Troy University's Montgomery, Alabama, campus. His works relating to technology have been published in numerous journals and books in the areas of security, biometrics, trust, asset leverage and planning, and more.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783639193008
    • Sprache Englisch
    • Größe H220mm x B150mm x T11mm
    • Jahr 2009
    • EAN 9783639193008
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-639-19300-8
    • Titel ARCHETYPAL SYMBOLS, AVATARS, AND TRUST
    • Autor Rodger Morrison
    • Untertitel Effects of culturally recognized symbols as avatars on participant trust in online environments.
    • Gewicht 278g
    • Herausgeber VDM Verlag
    • Anzahl Seiten 176
    • Genre Informatik

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