Interaction Challenges for Intelligent Assistants
Contents
Explaining Task Processing in Cognitive Assistants That Learn
PDFLearning Interaction Between Conflicting Human Agents and Their Assistants
PDFEye Gaze for Attention Prediction in Multimodal Human-Machine Conversation
PDFEnabling Trust with Behavior Metamodels
PDFUser Constructed Data Integration via Mixed-Initiative Design
PDFEngendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings
PDFModeling Human-Agent Interaction with Active Ontologies
PDFOrganizing Committee
PDFA Meeting Browser that Learns
PDFThe Need for Assistants that Monitor Cognitive Abilities
PDFWhy and How To Model Multi-Modal Interaction For A Mobile Robot Companion
PDFIntegrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication
PDFSupporting Air Traffic Flow Management with Agents
PDFIntent Recognition for Human-Robot Interaction
PDFPreface
PDFInvolving Intelligent Agents in Active Human Communication
PDFTowel: Towards an Intelligent To-Do List
PDFAn Intelligent Discussion-Bot for Guiding Student Interactions in Threaded Discussions
PDFThe Smart Personal Assistant: An Overview
PDFImproving Intelligent Assistants for Desktop Activities
PDFSupporting Interaction in the RoboCare Intelligent Assistive Environment
PDFA Decision-Theoretic Model of Assistance — Evaluation, Extensions and Open Problems
PDFEnhancing Interaction with To-Do Lists Using Artificial Assistants
PDFAn Adaptive, Emotional, and Expressive Reminding System
PDFVizScript: Visualizing Complex Interactions in Multi-Agent Systems
PDFEffective Interaction Strategies for Adaptive Reminding
PDFEffectiveness of Mobile Recommender Systems for Tourist Destinations: A User Evaluation
PDFWhen Is Assistance Really Helpful?
PDFTask Learning by Instruction: Benefits and Challenges for Intelligent Interactive Systems
PDFBringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling Assistants
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