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Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications
Bibek Paudel, Fabian Christoffel, Chris Newell, Abraham Bernstein
Article No.: 1
Recommender systems form the backbone of many interactive systems. They incorporate user feedback to personalize the user experience typically via personalized recommendation lists. As users interact with a system, an increasing amount of data...
What makes a good recommendation or good list of recommendations?
Research into recommender systems has traditionally focused on accuracy, in particular how closely the recommender’s predicted ratings are to the users’ true...
The Effect of Embodied Interaction in Visual-Spatial Navigation
Ting Zhang, Yu-Ting Li, Juan P. Wachs
Article No.: 3
This article aims to assess the effect of embodied interaction on attention during the process of solving spatio-visual navigation problems. It presents a method that links operator's physical interaction, feedback, and attention. Attention is...
A User Perception--Based Approach to Create Smiling Embodied Conversational Agents
Magalie Ochs, Catherine Pelachaud, Gary Mckeown
Article No.: 4
In order to improve the social capabilities of embodied conversational agents, we propose a computational model to enable agents to automatically select and display appropriate smiling behavior during human--machine interaction. A smile may convey...
Added Value of Gaze-Exploiting Semantic Representation to Allow Robots Inferring Human Behaviors
Karinne Ramirez-Amaro, Humera Noor Minhas, Michael Zehetleitner, Michael Beetz, Gordon Cheng
Article No.: 5
Neuroscience studies have shown that incorporating gaze view with third view perspective has a great influence to correctly infer human behaviors. Given the importance of both first and third person observations for the recognition of human...