Interface agents: A review of the field

TL;DR

This paper provides a comprehensive review of interface agents, covering their history, challenges, taxonomy, and the machine learning and user modeling techniques employed in current systems.

Contribution

It offers a detailed survey of the field, categorizing existing systems and analyzing the techniques used, highlighting the evolution and current state of interface agents.

Findings

Historical overview from 1960s to present

Taxonomy of interface agent systems

Analysis of machine learning and user modeling techniques

Abstract

This paper reviews the origins of interface agents, discusses challenges that exist within the interface agent field and presents a survey of current attempts to find solutions to these challenges. A history of agent systems from their birth in the 1960's to the current day is described, along with the issues they try to address. A taxonomy of interface agent systems is presented, and today's agent systems categorized accordingly. Lastly, an analysis of the machine learning and user modelling techniques used by today's agents is presented.