The Design and Evaluation of User Interfaces for the RADAR Learning Personal Assistant

Faulring, Andrew (Carnegie Mellon University) | Mohnkern, Ken (Buzzhoney) | Steinfeld, Aaron (Carnegie Mellon University) | Myers, Brad (Carnegie Mellon University)

AI Magazine 

The RADAR project developed a large multi-agent system with a mixed-initiative user interface designed to help office workers cope with email overload. Most RADAR agents observe experts performing tasks and then assist other users who are performing similar tasks. The interaction design for RADAR focused on developing user interfaces that allowed the intelligent functionality to improve the user's workflow without frustrating the user when the system's suggestions were either unhelpful or simply incorrect. A large evaluation of RADAR demonstrated that novice users confronted with an email overload test performed significantly better, achieving a 37% better overall score when assisted by RADAR.