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ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 8 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
BCSHCI
2007
15 years 8 months ago
Visualising Bluetooth interactions: combining the Arc diagram and DocuBurst techniques
Within the Bluetooth mobile space, overwhelmingly large sets of interaction and encounter data can very quickly be accumulated. This presents a challenge to gaining an understandi...
Daragh Byrne, Barry Lavelle, Gareth J. F. Jones, A...
CCE
2005
15 years 6 months ago
Interactive evolutionary computation in process engineering
In practical system identification, process optimization and controller design, it is often desirable to simultaneously handle several objectives and constraints. In some cases, t...
János Madár, János Abonyi, Fe...
PRESENCE
2002
116views more  PRESENCE 2002»
15 years 6 months ago
Evaluating Rules of Interaction for Object Manipulation in Cluttered Virtual Environments
A set of rules is presented for the design of interfaces that allow virtual objects to be manipulated in 3D virtual environments (VEs). The rules differ from other interaction tec...
Roy A. Ruddle, Justin C. D. Savage, Dylan M. Jones
TLT
2010
157views more  TLT 2010»
15 years 1 months ago
An Interactive Table for Supporting Participation Balance in Face-to-Face Collaborative Learning
We describe an interactive table designed for supporting face-to-face collaborative learning. The table, Reflect, addresses the issue of unbalanced participation during group discu...
Khaled Bachour, Frédéric Kaplan, Pie...