Collecting Task between Human and Empty-box using Behaviors with Two-axis Actuators

Abstract

In this paper, we propose to make intention drawing from system to human and collecting task between human and empty-box just by behaviors with two axis actuators. First, we extracted elements of minimum interaction model between user and empty-box using immersion discovering method based on Wizard of Oz method. Next, we designed three-state model based on findings. Third, we implemented three-state model by motion capture system, and confirms how collecting task was achieved. Last, we evaluated these models are indistinguishable from human manipulation using Turing-test based evaluation.