Inference of User Qualities in Shared Control

Acharya, Urja; Kunde, Siya; Hall, Lucas; Duncan, Brittany A.; Bradley, Justin

doi:10.1109/icra.2018.8461193

Cited by 10 publications

(11 citation statements)

References 31 publications

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“…These studies will be used to inform our discussion better. However, a direct comparison between our work and [21], [22] cannot be made. This is because our work uses MI and HI control and not shared control, meaning the operator interacts with the robotic system differently.…”

Section: B Locus Of Controlmentioning

confidence: 83%

“…This might suggest that individuals with a high internal LoC have problems giving up control to an autonomous system. In Acharya et al [22] average and high internal locus operators have the same level of performance. Additionally, the high internal LoC operators issued the most commands to the robot and had a high percentage of command conflicts.…”

Section: B Locus Of Controlmentioning

confidence: 93%

“…Additionally, we use a different LoC scale (i.e. the ICI) as it [21] uses the Rotter's scale [19] and [22] uses an abbreviated version of the LoC Questionnaire (LOCQ). However, all three scales are general measures of LoC.…”

Section: B Locus Of Controlmentioning

confidence: 99%

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Trust, Shared Understanding and Locus of Control in Mixed-Initiative Robotic Systems

Chiou,

McCabe,

Grigoriou

et al. 2021

Preprint

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This paper investigates how trust, shared understanding between a human operator and a robot, and the Locus of Control (LoC) personality trait, evolve and affect Human-Robot Interaction (HRI) in mixed-initiative robotic systems. As such systems become more advanced and able to instigate actions alongside human operators, there is a shift from robots being perceived as a tool to being a teammate. Hence, the team-oriented human factors investigated in this paper (i.e. trust, shared understanding, and LoC) can play a crucial role in efficient HRI. Here, we present the results from an experiment inspired by a disaster response scenario in which operators remotely controlled a mobile robot in navigation tasks, with either human-initiative or mixedinitiative control, switching dynamically between two different levels of autonomy: teleoperation and autonomous navigation. Evidence suggests that operators trusted and developed an understanding of the robotic systems, especially in mixedinitiative control, where trust and understanding increased over time, as operators became more familiar with the system and more capable of performing the task. Lastly, evidence and insights are presented on how LoC affects HRI.

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Section: B Locus Of Controlmentioning

confidence: 83%

Section: B Locus Of Controlmentioning

confidence: 93%

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Trust, Shared Understanding and Locus of Control in Mixed-Initiative Robotic Systems

Chiou,

McCabe,

Grigoriou

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…For example a teleoperated surgery robot can hold a patient's skin taut so that the surgeon can focus on performing incisions (Shamaei et al, 2015). A telepresence robot (Kratz and Ferriera, 2016) can automatically avoid obstacles during navigation (Acharya et al, 2018;Stoll et al, 2018) or automatically rotate its camera to keep a desired object within view (Miura et al, 2016). Finally, a remote, teleoperated space robot can perform as much of a task as is possible before it pings the space station for human intervention (Farrell et al, 2017).…”

Section: Environmentmentioning

confidence: 99%

Helping People Through Space and Time: Assistance as a Perspective on Human-Robot Interaction

2022

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As assistive robotics has expanded to many task domains, comparing assistive strategies among the varieties of research becomes increasingly difficult. To begin to unify the disparate domains into a more general theory of assistance, we present a definition of assistance, a survey of existing work, and three key design axes that occur in many domains and benefit from the examination of assistance as a whole. We first define an assistance perspective that focuses on understanding a robot that is in control of its actions but subordinate to a user’s goals. Next, we use this perspective to explore design axes that arise from the problem of assistance more generally and explore how these axes have comparable trade-offs across many domains. We investigate how the assistive robot handles other people in the interaction, how the robot design can operate in a variety of action spaces to enact similar goals, and how assistive robots can vary the timing of their actions relative to the user’s behavior. While these axes are by no means comprehensive, we propose them as useful tools for unifying assistance research across domains and as examples of how taking a broader perspective on assistance enables more cross-domain theorizing about assistance.

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“…An obvious example involves 'human CPSs' in which the system interacts with human users or observers. Human behaviour is notoriously difficult to model, and testing even with probabilistic models may be insufficient to account for the unique responses of a particular individual [11][12][13].…”

mentioning

confidence: 99%

Survey on test case generation, selection and prioritization for cyber‐physical systems

Sadri-Moshkenani

Bradley

Rothermel

2021

Software Testing Verif & Rel

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A cyber-physical system (CPS) is a collection of computing devices that communicate with each other, operate in the target environment via actuators and interact with the physical world through sensors in a feedback loop. CPSs need to be safe and reliable and function in accordance with their requirements. Testing, focusing on a CPS model and/or its code, is the primary approach used by engineers to achieve this. Generating, selecting and prioritizing test cases that can reveal faults in CPSs, from the wide range of possible input values and stimuli that affect their operation, are of central importance in this process. To date, however, in our search of the literature, we have found no comprehensive survey of research on test case generation, selection and prioritization for CPSs. In this article, therefore, we report the results of a survey of approaches for generating, selecting and prioritizing test cases for CPSs; the results illustrate the progress that has been made on these approaches to date, the properties that characterize the approaches and the challenges that remain open in these areas of research.

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Inference of User Qualities in Shared Control

Cited by 10 publications

References 31 publications

Trust, Shared Understanding and Locus of Control in Mixed-Initiative Robotic Systems

Trust, Shared Understanding and Locus of Control in Mixed-Initiative Robotic Systems

Helping People Through Space and Time: Assistance as a Perspective on Human-Robot Interaction

Survey on test case generation, selection and prioritization for cyber‐physical systems

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