A Cross-Cultural User Evaluation of Product Recommender Interfaces
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Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characteristics, user expectations, or user motor patterns due to learning or aging. ...
Visual markers are graphic symbols designed to be easily recognised by machines. They are traditionally used to,track goods, but there is increasing interest in their application to mobile HCI. By scanning a visual marker through a camera phone, users can ...
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As online stores are offering an almost unlimited shelf space, users must increasingly rely on product search and recommender systems to find their most preferred products and decide which item is the truly best one to buy. However, much research work has ...
Nowadays more and more people are looking for products online, and a massive amount of products are being sold through e-commerce systems. It is crucial to develop effective online product search tools to assist users to find their desired products and to ...
In this paper we present the user-centred design of a medicine dispenser for persons suffering from Alzheimer's disease. The prototype was evaluated in two phases with two caregivers and two Alzheimer's patients. Caregivers evaluated the device positively. ...
Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010
Conversations are a daily human activity, and a crucial part of face-to-face collaboration in virtually any context. It is also a highly engaging activity that requires the full attention of participants involved in it. This is why computers have generally ...
Online systems that help users select the most preferential item from a large electronic catalog are known as product search and recommender systems. Evaluation of various proposed technologies is essential for further development in this area. This paper ...
Computers have become affordable, small, omnipresent and are often connected to the Internet. However, despite the availability of such rich environments, user interfaces have not been adapted to fully leverage their potential. In our view, user interfaces ...
We address user system interaction issues in product search and recommender systems: how to help users select the most preferential item from a large collection of alternatives. As such systems must crucially rely on an accurate and complete model of user ...
A critiquing-based recommender system acts like an artificial salesperson. It engages users in a conversational dialog where users can provide feedback in the form of critiques to the sample items that were shown to them. The feedback, in turn, enables the ...