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AAAI
2006
13 years 11 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
IJVR
2008
122views more  IJVR 2008»
13 years 10 months ago
An Emotion-based Adaptive Behavioural Model for Simulated Virtual Agents
Simulations utilizing virtual humans, or computer controlled agents, are more predominant now than ever. Many of these simulations suffer from a lack of effective, stimulating, and...
Ling Li, Sean MacDonnell
ACMACE
2004
ACM
14 years 3 months ago
Using frustration in the design of adaptive videogames
In efforts to attract a wider audience, videogames are beginning to incorporate adaptive gameplay mechanics. Unlike the more traditional videogame, adaptive games can cater the ga...
Kiel Mark Gilleade, Alan J. Dix
EICS
2009
ACM
14 years 2 months ago
A formal approach supporting the comparative predictive assessment of the interruption-tolerance of interactive systems
This paper presents an approach for investigating in a predictive way potential disruptive effects of interruptions on task performance in a multitasking environment. The approach...
Philippe A. Palanque, Marco Winckler, Jean-Fran&cc...
HCI
2009
13 years 8 months ago
Feature Extraction and Selection for Inferring User Engagement in an HCI Environment
We present our work towards estimating the engagement of a person to the displayed information of a computer monitor. Deciding whether a user is attentive or not, and frustrated or...
Stylianos Asteriadis, Kostas Karpouzis, Stefanos D...