The key role of relevance in personalized advertisement: Examining its impact on perceptions of privacy invasion,self-awareness,and continuous use intentions

Internet advertising has become increasingly personalized as advertisers tailor content to individual users. However, this has led consumers to be concerned about their privacy. Based on rational choice theory and self-awareness theory, the current research explores the role of relevance in personalized advertisements and examines its impact on perceptions of privacy invasion, self-awareness, and subsequent continuous use intentions of personalized advertising. Analysis of survey data from 386 online users found that although privacy invasion perceptions are negatively related to continuous use intentions, perceived advertisement relevance mitigates consumer's privacy concerns. Perceived relevance was also found to be positively related to consumer's continuous use intentions through the mediation of self-awareness. This research identifies and highlights the importance of relevance in the tension between privacy concerns and personalized advertisements.     

Me,myself and I: The role of interactional context on self-presentation through avatars

This paper investigates whether the nature of an online environment can prime users to create avatars that emphasize particular characteristics. Participants created an avatar for one of three contrasting settings: blogging, dating or gaming. For the most part, avatars in blogging were created to accurately reflect their owners’ physical appearance, lifestyle and preferences. By contrast, participants in the dating and gaming treatments accentuated certain aspects of their avatar to reflect the tone and perceived expectations of the context. For instance, avatars in dating were made to look more attractive while avatars in gaming were made to look more intellectual. Yet, predominantly, these emphasized avatar attributes drew on participants’ self-image, and thus avatars were perceived by their owners as highly similar to themselves. The implications of these results are discussed against current frameworks of online identity and behavior. Most importantly, we use our results to extract design recommendations for improving avatar-driven applications.