Titlebook: Information and Communication Technologies in Tourism 2005; Proceedings of the I Andrew J. Frew Conference proceedings 2005Latest edition S

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Explaining Online Purchase Planning Experiences with Recommender Websites cameras). Findings suggest a strong influence from on-line experiences such as trust, flow, and exploratory browsing. These factors, in turn, are partially driven by personal characteristics such as internet expertise, product involvement, and internet purchase attitudes.

Ferritin

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Recommendations by Collaborative Browsingme more offers that are supposed to be a better match to user‘s preferences. We report the results of the empirical evaluation that shows the usefulness of such an approach especially for travelers coming from more distant countries and those with a more holistic learning style.

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An Extended Tourism Information Architecture: Capturing and Modelling Changechange and complex dynamics inherent in the industry. This paper reports on a recently-completed Australian research project directed towards this end and provide an example of how an architecture might be employed in destination development research and policy-making.

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CBR Naïve Interaction in a Web-Based System for Tourism methods and results of the usability tests as well as a preliminary experiment. The quantitative results are not final but qualitative evidence suggests that the user adopts different models of interaction.

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