Efficient human-robot collaboration: When should a robot take initiative?. (June 2017)

• Record Type: Journal Article
• Authors: Baraglia, Jimmy; Cakmak, Maya; Nagai, Yukie; Rao, Rajesh PN; Asada, Minoru
• Is Part Of: International journal of robotics research. Volume 36:Number 5/7(2017)
• Page Start: 563
• Page End: 579
• Publication Date: 2017-06
• Subjects: Human robot interaction -- initiative assistive robotics -- social robotics -- Bayesian network; Robots -- Periodicals; Robots, Industrial -- Periodicals; 629.89205
• DOI: 10.1177/0278364916688253
• Languages: English
• ISSNs: 0278-3649

Abstract

The promise of robots assisting humans in everyday tasks has led to a variety of research questions and challenges in human-robot collaboration. Here, we address the question of whether and when a robot should take initiative during joint human-robot task execution. We designed a robotic system capable of autonomously performing table-top manipulation tasks while monitoring the environmental state. Our system is able to predict future environmental states and the robot's actions to reach them using a dynamic Bayesian network. To evaluate our system, we implemented three different initiative conditions to trigger the robot's actions. Human-initiated help gives control of the robot action timing to the user; robot-initiated reactive help triggers robot assistance when it detects that the human needs help; robot-initiated proactive help makes the robot help whenever it can. We performed a user study (N=18) to compare the trigger mechanisms in terms of quality of interaction, system performance and perceived sociality of the robot. We found that people collaborate best with a proactive robot, yielding better team fluency and high subjective ratings. However, they prefer having control of when the robot should help, rather than working with a reactive robot that only helps when needed. We also found that participants gazed at the robot's face more during the human-initiated help compared to the other conditions. This shows that asking for the robot's help may lead to a more "social" interaction, without improving the quality of interaction or the system performance.