Automatic personalization based on Web usage mining
Communications of the ACM
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
Information Systems Research
Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective
Information Systems Research
Journal of Management Information Systems
Persuasion in Recommender Systems
International Journal of Electronic Commerce
Personalization and choice behavior: the role of personality traits
ACM SIGMIS Database
Trust and TAM in online shopping: an integrated model
MIS Quarterly
Timing of Adaptive Web Personalization and Its Effects on Online Consumer Behavior
Information Systems Research
The language that gets people to give: phrases that predict success on kickstarter
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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The development of advanced recommendation agents (RA's) has rendered more product information available for consumers at a minimal cost. However these decision aids require more effort exerted by users in order to offer recommendations based on their preferences. The construct of effort has showed contradictory effects on outcome quality and evaluation of the decision making process, as effort can be considered as a direct cost (cognitive or time) but also as a benefit (expected accuracy of decision). We conducted an experimental study to test the effect of three different types of perceived effort on the quality perception of a RA. We found a positive effect of perceived RA effort on RA quality perception. This suggests that users want to and should be aware of the RA effort in creating accurate recommendations. The effect of perceived user effort on RA quality is negative, but only when the own effort is perceived as higher than the perceived RA effort. However, this does not hold when user effort regards the navigational aspect of use of the RA which decreases the quality of the RA. We also show that RA quality is a core driver of RA acceptance.