Autonomy mode suggestions for improving human-robot interaction

Baker, Michael; Yanco, Holly A.

doi:10.1109/icsmc.2004.1400781

Cited by 22 publications

(10 citation statements)

References 11 publications

(16 reference statements)

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“…One can draw insights from research on participation and work design, which reveals, for example, the importance of autonomy for motivation and health (Hackman and Oldham 1975). We also see some more current research focusing more on the role of the human in influencing the autonomy mode of a robot (Baker and Yanco 2004) and in meta-controlling robotic autonomy (Goodrich et al 2001) or in an allocation decision (Gombolay et al 2015). The samples used for such research, however, are small and the research field is only in its infancy.…”

Section: The Role Of the Allocation Agentmentioning

confidence: 99%

The best task allocation process is to decide on one’s own: effects of the allocation agent in human–robot interaction on perceived work characteristics and satisfaction

Tausch

Kluge

2020

Cogn Tech Work

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New technologies are ever evolving and have the power to change human work for the better or the worse depending on the implementation. For human–robot interaction (HRI), it is decisive how humans and robots will share tasks and who will be in charge for decisions on task allocation. The aim of this online experiment was to examine the influence of different decision agents on the perception of a task allocation process in HRI. We assume that inclusion of the worker in the allocation will create more perceived work resources and will lead to more satisfaction with the allocation and the work results than a decision made by another agent. To test these hypotheses, we used a fictional production scenario where tasks were allocated to the participant and a robot. The allocation decision was either made by the robot, by an organizational unit, or by the participants themselves. We then looked for differences between those conditions. Our sample consisted of 151 people. In multiple ANOVAs, we could show that satisfaction with the allocation process, the solution, and with the result of the work process was higher in the condition where participants themselves were given agency in the allocation process compared to the other two. Those participants also experienced more task identity and autonomy. This has implications for the design of allocation processes: The inclusion of workers in task allocation can play a crucial role in leveraging the acceptance of HRI and in designing humane work systems in Industry 4.0.

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Section: The Role Of the Allocation Agentmentioning

confidence: 99%

The best task allocation process is to decide on one’s own: effects of the allocation agent in human–robot interaction on perceived work characteristics and satisfaction

Tausch

Kluge

2020

Cogn Tech Work

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“…Baker and Yanco [9] presented a robotic system in which the robot aids the operator's judgement by suggesting potential changes in the LOA. However, the system was not validated experimentally.…”

Section: Related Workmentioning

confidence: 99%

Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot

Chiou

Bieksaite

Hawes

et al. 2016

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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“…We describe this as dynamic autonomy. Baker and Yanco outline the potential for dynamic autonomy in an urban rescue scenario [22]; Schermerhorn and Scheutz investigate dynamic autonomy in human-robot teams [23]. Dynamic autonomy would be a significant advance for SAR robots, but is not straightforward to implement, both because of the complex human factors and because it requires that the robot is able to assess the level of danger posed by hazards before it becomes irrecoverably stuck or damaged.…”

Section: B Dynamic Autonomy In Sarmentioning

confidence: 99%

Assessing the search and rescue domain as an applied and realistic benchmark for robotic systems

Schneider

Wildermuth

2016

2016 17th International Carpathian Control Conference (ICCC)

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Aim of this paper is to provide a review of the state of the art in Search and Rescue (SAR) robotics. Suitable robotic applications in the SAR domain are described, and SAR-specific demands and requirements on the various components of a robotic system are pictured. Current research and development in SAR robotics is outlined, and an overview of robotic systems and sub-systems currently in use in SAR and disaster response scenarios is given. Finally we show a number of possible research directions for SAR robots, which might change the overall design and operation of SAR robotics in the longer-term future. All this is meant to support our main idea of taking SAR applications as an applied benchmark for the Field Robotics (FR) domain

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Autonomy mode suggestions for improving human-robot interaction

Cited by 22 publications

References 11 publications

The best task allocation process is to decide on one’s own: effects of the allocation agent in human–robot interaction on perceived work characteristics and satisfaction

The best task allocation process is to decide on one’s own: effects of the allocation agent in human–robot interaction on perceived work characteristics and satisfaction

Experimental analysis of a variable autonomy framework for controlling a remotely operating mobile robot

Assessing the search and rescue domain as an applied and realistic benchmark for robotic systems

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