Reinforcement learning approaches in social robotics
This article surveys reinforcement learning approaches in social robotics. Reinforcement
learning is a framework for decision-making problems in which an agent interacts through …
learning is a framework for decision-making problems in which an agent interacts through …
Eye tracking for spatial research: Cognition, computation, challenges
Spatial information acquisition happens in large part through the visual sense. Studying
visual attention and its connection to cognitive processes has been the interest of many …
visual attention and its connection to cognitive processes has been the interest of many …
Re-examining whether, why, and how human-AI interaction is uniquely difficult to design
Artificial Intelligence (AI) plays an increasingly important role in improving HCI and user
experience. Yet many challenges persist in designing and innovating valuable human-AI …
experience. Yet many challenges persist in designing and innovating valuable human-AI …
[HTML][HTML] Vulnerable road users and the coming wave of automated vehicles: Expert perspectives
Automated driving research over the past decades has mostly focused on highway
environments. Recent technological developments have drawn researchers and …
environments. Recent technological developments have drawn researchers and …
Pedestrian interaction with vehicles: roles of explicit and implicit communication
D Dey, J Terken - Proceedings of the 9th international conference on …, 2017 - dl.acm.org
This paper presents a study that aimed to identify the importance of eye contact and
gestures between pedestrians and drivers. A video-based observation and coding was …
gestures between pedestrians and drivers. A video-based observation and coding was …
[ΒΙΒΛΙΟ][B] Brain–computer interfaces handbook: technological and theoretical advances
Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …
A brief introduction to distributed systems
Distributed systems are by now commonplace, yet remain an often difficult area of research.
This is partly explained by the many facets of such systems and the inherent difficulty to …
This is partly explained by the many facets of such systems and the inherent difficulty to …
Interactive machine learning
JA Fails, DR Olsen Jr - Proceedings of the 8th international conference …, 2003 - dl.acm.org
Perceptual user interfaces (PUIs) are an important part of ubiquitous computing. Creating
such interfaces is difficult because of the image and signal processing knowledge required …
such interfaces is difficult because of the image and signal processing knowledge required …
A unifying reference framework for multi-target user interfaces
This paper describes a framework that serves as a reference for classifying user interfaces
supporting multiple targets, or multiple contexts of use in the field of context-aware …
supporting multiple targets, or multiple contexts of use in the field of context-aware …
Computational rationality as a theory of interaction
How do people interact with computers? This fundamental question was asked by Card,
Moran, and Newell in 1983 with a proposition to frame it as a question about human …
Moran, and Newell in 1983 with a proposition to frame it as a question about human …