---
title: "Automated Agents for Advice Provision"
authors:
  - "Ariel Rosenfeld"
doi: ""
url: "https://ijcai.org/proceedings/2015/643"
pdf: "https://ijcai.org/proceedings/2015/0643.pdf"
venue: "Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence"
year: 2015
pages: "4391-4391"
track: "Doctoral Consortium"
keywords:
---

# Automated Agents for Advice Provision

Ariel Rosenfeld

*Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence*, pages 4391-4391.

## Abstract

In this thesis, we focus on automated advising agents. The advice given is a form of relating recommendations or guidance from an automated agent to its human user. Providing the right advice at the right time is extremely complex, and requires a good adaptation to human desires and changing environments. We propose a novel methodology for designing automated advising agents and evaluate it in three real world environments. Our intelligent advising agents were evaluated through extensive field trials, with hundreds of human subjects. A significant increase in human performance as well as a high level of user satisfaction was recorded when they were equipped with our agents.