Editing Interface Agents: A Review of the Field

Title: Interface Agents: A Review of the Field

Main Research Question: How have interface agents evolved and what are their current capabilities and challenges?

Methodology: The study reviewed literature on interface agents from the 1960s to the present day. It categorized existing interface agent systems and analyzed their machine learning and user modeling techniques.

Results: The research found that interface agents have a long history, tracing back to the birth of artificial intelligence in the 1950s. They are designed to handle various tasks, such as auction/market, believable/entertainment, email filtering, expert assistance, matchmaking, meeting scheduling, news filtering, recommender systems, web, and other domains. The study also identified key challenges facing interface agents, including natural language understanding, adaptability, and user trust.

Implications: The review suggests that interface agents have come a long way since their inception. They have evolved to handle a wide range of tasks and have demonstrated significant capabilities. However, there are still challenges that need to be addressed to further improve their performance and acceptance by users.

Link to Article: https://arxiv.org/abs/0203012v1
Authors: 
arXiv ID: 0203012v1

[[Category:Computer Science]]
[[Category:Interface]]
[[Category:Agents]]
[[Category:Have]]
[[Category:Their]]
[[Category:Are]]