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Introduction to the Special Issue on Human Interaction with Artificial Advice Givers
Nava Tintarev, John O'donovan, Alexander Felfernig
Article No.: 26
Many interactive systems in today’s world can be viewed as providing advice to their users. Commercial examples include recommender systems, satellite navigation systems, intelligent personal assistants on smartphones, and automated checkout...
Effects of the Advisor and Environment on Requesting and Complying With Automated Advice
Steven C. Sutherland, Casper Harteveld, Michael E. Young
Article No.: 27
Given the rapid technological advances in our society and the increase in artificial and automated advisors with whom we interact on a daily basis, it is becoming increasingly necessary to understand how users interact with and why they choose to...
Inferring Capabilities of Intelligent Agents from Their External Traits
Bart P. Knijnenburg, Martijn C. Willemsen
Article No.: 28
We investigate the usability of humanlike agent-based interfaces for interactive advice-giving systems. In an experiment with a travel advisory system, we manipulate the “humanlikeness” of the agent interface. We demonstrate that users...
A Multimodal Approach to Assessing User Experiences with Agent Helpers
Leigh Clark, Abdulmalik Ofemile, Svenja Adolphs, Tom Rodden
Article No.: 29
The study of agent helpers using linguistic strategies such as vague language and politeness has often come across obstacles. One of these is the quality of the agent's voice and its lack of appropriate fit for using these strategies. The first...
Providing Arguments in Discussions on the Basis of the Prediction of Human Argumentative Behavior
Ariel Rosenfeld, Sarit Kraus
Article No.: 30
Argumentative discussion is a highly demanding task. In order to help people in such discussions, this article provides an innovative methodology for developing agents that can support people in argumentative discussions by proposing possible...
Visualizations have a distinctive advantage when dealing with the information overload problem: Because they are grounded in basic visual cognition, many people understand them. However, creating proper visualizations requires specific expertise...