Gerard Canal
Biographic Data
| ID | 5143815 |
|---|---|
| NAME | Gerard Canal |
| GIVEN NAMES | Gerard |
| FAMILY NAME | Canal |
| SIGNATURE | CANAL G |
| AFFILIATIONS | King's College London |
| ORCID | 0000-0002-6718-1198 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Special Issue on Prediction and Anticipation for Reasoning in Human-Robot Interaction
A Taxonomy of Explanation Types and Need Indicators in Human–Agent Collaborations
In recent years, explanations have become a pressing matter in AI research. This development was caused by the increased use of black-box models and a realization of the importance of trustworthy AI. In particular, explanations are necessary for human–agent interactions to ensure that the user can trust the agent and that collaborations are effective. Human–agent interactions are complex social scenarios involving a user, an autonomous agent, and…
Are Preferences Useful for Better Assistance
Assistive Robots have an inherent need of adapting to the user they are assisting. This is crucial for the correct development of the task, user safety, and comfort. However, adaptation can be performed in several manners. We believe user preferences are key to this adaptation. In this article, we evaluate the use of preferences for Physically Assistive Robotics tasks in a Human-Robot Interaction user evaluation. Three assistive tasks have been i…
No prominent works on this page.
Are Preferences Useful for Better Assistance
Assistive Robots have an inherent need of adapting to the user they are assisting. This is crucial for the correct development of the task, user safety, and comfort. However, adaptation can be performed in several manners. We believe user preferences are key to this adaptation. In this article, we evaluate the use of preferences for Physically Assistive Robotics tasks in a Human-Robot Interaction user evaluation. Three assistive tasks have been i…
A Taxonomy of Explanation Types and Need Indicators in Human–Agent Collaborations
In recent years, explanations have become a pressing matter in AI research. This development was caused by the increased use of black-box models and a realization of the importance of trustworthy AI. In particular, explanations are necessary for human–agent interactions to ensure that the user can trust the agent and that collaborations are effective. Human–agent interactions are complex social scenarios involving a user, an autonomous agent, and…
Special Issue on Prediction and Anticipation for Reasoning in Human-Robot Interaction
Artificial Intelligence (2 works) · Computer Science (2 works) · Engineering (2 works) · Human–computer interaction (2 works) · Psychology (2 works) · Robot Manipulation and Learning (2 works) · Robotics (2 works) · Social Robot Interaction and HRI (2 works) · Adaptation (eye (1 work) · AI in Service Interactions (1 work)