Foundations of Trusted Autonomy: An Introduction

Abbass, Hussein A.; Scholz, Jason; Reid, Darryn J.

doi:10.1007/978-3-319-64816-3_1

Cited by 20 publications

(17 citation statements)

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“…The direct information sharing feature that is offered in Waze increases its transparency, thus increasing trust in it. In trust concept, goal reasoning needs to be clear, that is, the completion of tasks and goals should be known so that the trustor can trust the agent's ability in making decisions toward the goals [23].…”

Section: Resultsmentioning

confidence: 99%

“…Thus, when system designers aim to design a system that incorporates autonomous agent, they must ensure that the system's transparency is maintained. System designers should answer the question on how to frame a goal reasoning process to promote transparency [23].…”

Section: Resultsmentioning

confidence: 99%

“…The question concerning safety issue remains, how can one ensure that certain safety conditions are maintained despite the freedom of information sharing provided by the computer agent? [23]. Therefore, system designers should carefully classify certain dimensions of trustworthiness that are more applicable in particular circumstances (i.e.…”

Section: Resultsmentioning

confidence: 99%

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Human-computer trust in navigation systems: google maps vs waze

Trapsilawati

Wijayanto

Jourdy³

2019

CST

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This study investigates users' trust and reliance toward navigation systems. Forty participants participated in the experiment comparing Google Maps and Waze that have different mechanisms (data-based vs community-based). Our findings revealed that users had higher trust in Waze than Google Maps, due to the higher degree of flexibility in information sharing. Furthermore, we found that users tend to utilize the navigation application used, implying that trust in navigation system is highly associated with trustors' prior experience and familiarity. Google Maps users changed their reliance on Google Maps to Waze upon experiencing Waze features. This study offers several implications that system designers: (i) must ensure that the system's transparency is maintained, (ii) should profoundly analyze possible interaction between users and computer agents, (iii) should ensure that certain safety conditions are maintained despite the freedom of information sharing provided by the computer agent.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Human-computer trust in navigation systems: google maps vs waze

Trapsilawati

Wijayanto

Jourdy³

2019

CST

View full text Add to dashboard Cite

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“…Trustworthiness is a necessary but not sufficient condition to carry out tasks in open environments [23]. In real operation, autonomous systems are deployed in complex environments plagued with uncertainty.…”

Section: Autonomy and Trustworthinessmentioning

confidence: 99%

Using Ontologies in Autonomous Robots Engineering

Aguado¹,

Sanz²

2021

Robotics Software Design and Engineering

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The construction and operation of autonomous robots is heavily based of systemic conceptualizations of the reality constituted by the robot, its controller and the environment where it performs. In this chapter we address the role that computer ontologies play in the whole life cycle—engineering and operation—of autonomous robots: from its conception and construction by human engineering teams to deployment and autonomous operation in dynamic and uncertain environments. This chapter summarizes the state of the art, gives some examples and establishes a roadmap for future activity in this domain to produce shareable ontologies that could streamline autonomous robot development and exploitation.

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“…The need for explorations in the relationships between robot self-awareness, and human-robot trust has been claimed by Mittu et al (2016). On the same line, Abbass et al (2018) discuss the definition of trusted autonomy in robots to include the "awareness of self. "…”

Section: Introductionmentioning

confidence: 99%

Developing Self-Awareness in Robots via Inner Speech

et al. 2020

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The experience of inner speech is a common one. Such a dialogue accompanies the introspection of mental life and fulfills essential roles in human behavior, such as self-restructuring, self-regulation, and re-focusing on attentional resources. Although the underpinning of inner speech is mostly investigated in psychological and philosophical fields, the research in robotics generally does not address such a form of self-aware behavior. Existing models of inner speech inspire computational tools to provide a robot with this form of self-awareness. Here, the widespread psychological models of inner speech are reviewed, and a cognitive architecture for a robot implementing such a capability is outlined in a simplified setup.

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Foundations of Trusted Autonomy: An Introduction

Cited by 20 publications

References 0 publications

Human-computer trust in navigation systems: google maps vs waze

Human-computer trust in navigation systems: google maps vs waze

Using Ontologies in Autonomous Robots Engineering

Developing Self-Awareness in Robots via Inner Speech

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