Work-in-progress—Effectiveness of Avatar Guided Instructions and Feedback in the Server Repair and Maintenance Task

Abstract

Server maintenance operations require vast knowledge about the functionalities of various devices and their troubleshooting procedures. Workers often have to deal with complex paper manuals. This work-in-progress paper evaluates the effectiveness of a system to bring the onsite human supervisor experience, using an AR-based avatar with pointings gestures and voice instructions to guide the technician. 11 participants were asked to perform the set of instructions both in manual and avatar-based guided settings. A statistical analysis of raw NASATLX supports that the avatar-based guided maintenance system reduces the mental workload when compared to the manual-based maintenance procedures.