enter search term and/or author name
Transfer Learning for Semisupervised Collaborative Recommendation
Weike Pan, Qiang Yang, Yuchao Duan, Zhong Ming
Article No.: 10
Users’ online behaviors such as ratings and examination of items are recognized as one of the most valuable sources of information for learning users’ preferences in order to make personalized recommendations. But most previous works...
Agents Vs. Users: Visual Recommendation of Research Talks with Multiple Dimension of Relevance
Katrien Verbert, Denis Parra, Peter Brusilovsky
Article No.: 11
Several approaches have been researched to help people deal with abundance of information. An important feature pioneered by social tagging systems and later used in other kinds of social systems is the ability to explore different community...
The Effects of Interpersonal Attitude of a Group of Agents on User’s Presence and Proxemics Behavior
Angelo Cafaro, Brian Ravenet, Magalie Ochs, Hannes Högni Vilhjálmsson, Catherine Pelachaud
Article No.: 12
In the everyday world people form small conversing groups where social interaction takes place, and much of the social behavior takes place through managing interpersonal space (i.e., proxemics) and group formation, signaling their attentio to...
Section: Regular Articles
A Dynamic Pen-Based Interface for Writing and Editing Complex Mathematical Expressions With Math Boxes
Eugene M. Taranta, II, Andrés N. Vargas, Spencer P. Compton, Joseph J. Laviola, Jr.
Article No.: 13
Math boxes is a recently introduced pen-based user interface for simplifying the task of hand writing difficult mathematical expressions. Visible bounding boxes around subexpressions are automatically generated as the system detects...
Statistical topic models have become a useful and ubiquitous tool for analyzing large text corpora. One common application of statistical topic models is to support topic-centric navigation and exploration of document collections. Existing work on...
Minimal Interaction Content Discovery in Recommender Systems
Branislav Kveton, Shlomo Berkovsky
Article No.: 15
Many prior works in recommender systems focus on improving the accuracy of item rating predictions. In comparison, the areas of recommendation interfaces and user-recommender interaction remain underexplored. In this work, we look into the...
Beyond the Touchscreen: An Exploration of Extending Interactions on Commodity Smartphones
Cheng Zhang, Anhong Guo, Dingtian Zhang, Yang Li, Caleb Southern, Rosa I. Arriaga, Gregory D. Abowd
Article No.: 16
Most smartphones today have a rich set of sensors that could be used to infer input (e.g., accelerometer, gyroscope, microphone); however, the primary mode of interaction is still limited to the front-facing touchscreen and several physical...
Affect detection is a key component in intelligent educational interfaces that respond to students’ affective states. We use computer vision and machine-learning techniques to detect students’ affect from facial expressions (primary...
Teaching Social Communication Skills Through Human-Agent Interaction
Hiroki Tanaka, Sakti Sakriani, Graham Neubig, Tomoki Toda, Hideki Negoro, Hidemi Iwasaka, Satoshi Nakamura
Article No.: 18
There are a large number of computer-based systems that aim to train and improve social skills. However, most of these do not resemble the training regimens used by human instructors. In this article, we propose a computer-based training system...
Section: Regular Articles
Automatic Analysis of Naturalistic Hand-Over-Face Gestures
Marwa Mahmoud, Tadas Baltrušaitis, Peter Robinson
Article No.: 19
One of the main factors that limit the accuracy of facial analysis systems is hand occlusion. As the face becomes occluded, facial features are lost, corrupted, or erroneously detected. Hand-over-face occlusions are considered not only very common...
Using Respiration to Predict Who Will Speak Next and When in Multiparty Meetings
Ryo Ishii, Kazuhiro Otsuka, Shiro Kumano, Junji Yamato
Article No.: 20
Techniques that use nonverbal behaviors to predict turn-changing situations—such as, in multiparty meetings, who the next speaker will be and when the next utterance will occur—have been receiving a lot of attention in recent research....