Toward a framework for levels of robot autonomy in human-robot interaction

By Jenay M. Beer, Arthur D. Fisk, Wendy A. Rogers. J. Hum. Robot Interact., 2014

566 citations recorded by the source corpus.

Autonomy is a critical construct related to human-robot interaction (HRI) and varies widely across robot platforms. Levels of robot autonomy (LORA), ranging from teleoperation to fully autonomous systems, influence the way in which humans and robots interact with one another. Thus, there is a need to understand HRI by identifying variables that influence---and are influenced by---robot autonomy. Our overarching goal is to develop a framework for LORA in HRI. To reach this goal, our framework draws links between HRI and human-automation interaction, a field with a long history of studying and understanding human-related variables. The construct of autonomy is reviewed and redefined within the context of HRI. Additionally, this framework proposes a process for determining a robot's autonomy level by categorizing autonomy along a 10-point taxonomy. The framework is intended to be treated as a guideline for determining autonomy, categorizing the LORA along a qualitative taxonomy and considering HRI variables (e.g., acceptance, situation awareness, reliability) that may be influenced by the LORA.

Subfields: Biomedical Engineering, Radiological and Ultrasound Technology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/38051bf44b0bbf6e8fbf2f0a94b0ad21c4131e4a

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In Social Psychology

Citations in the corpus

Trust in AI: progress, challenges, and future directions (2024, unknown): “A rede ﬁ ned multi-level framework for robot autonomy in human-AI interactions is presented in (Beer et al., 2014a), aiming to provide guidelines on how different levels of robot autonomy can impact variables such as acceptance and reliability.”
Transforming the Customer Experience through New Technologies (2020, background): “Autonomy (vs. control) refers to the technology carrying out operations and processes without external control such as sensing, planning, and acting to reach task-specific goals (Beer, Fisk, & Rogers, 2014).”
Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory (2020, unknown): “First, AI has the ability to make autonomous decisions, so it can operate without human control, which is different from computers [27].”
From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology (2022, background): “However, there are levels of robot autonomy, ranging from teleoperation to fully However, there are levels of robot autonomy, ranging from teleoperation to fully autonomous systems, that inﬂuence human–robot interaction [38]. autonomous systems, that influence human–robot interaction [38].”