Exploring Interaction Design Considerations for Trustworthy Language-Capable Robotic Wheelchairs in Virtual Reality

Woodward, Nicholas B.; Nguyen, Teresa T.; Zhu, Lei; Fowler, Carter; Kim, Taewoo; Near, Stacia; Thoemmes, Stephen; Williams, T.

doi:10.31219/osf.io/5ra67

Cited by 2 publications

(2 citation statements)

References 30 publications

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“…It's important to know that effective and open communication builds user confidence in using autonomous techniques, especially in the transportation sector, due to the inherent safety concerns. In [268] VR is used in testing the importance of proactive communication rather than reactive communication when it comes to autonomous wheelchairs. Also, there are situations where VR systems are used for providing training environments for robots in various conditions and generate visuals for analysis [269], [270].…”

Section: Collection Of Datamentioning

confidence: 99%

A Survey on XAI for Beyond 5G Security: Technical Aspects, Use Cases, Challenges and Research Directions

Senevirathna¹,

Salazar²,

La³

et al. 2022

Preprint

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With the advent of 5G commercialization, the need for more reliable, faster, and intelligent telecommunication systems are envisaged for the next generation beyond 5G (B5G) radio access technologies. Artificial Intelligence (AI) and Machine Learning (ML) are not just immensely popular in the service layer applications but also have been proposed as essential enablers in many aspects of B5G networks, from IoT devices and edge computing to cloud-based infrastructures. However, most of the existing surveys in B5G security focus on the performance of AI/ML models and their accuracy, but they often overlook the accountability and trustworthiness of the models' decisions. Explainable AI (XAI) methods are promising techniques that would allow system developers to identify the internal workings of AI/ML black-box models. The goal of using XAI in the security domain of B5G is to allow the decision-making processes of the security of systems to be transparent and comprehensible to stakeholders making the systems accountable for automated actions. In every facet of the forthcoming B5G era, including B5G technologies such as RAN, zero-touch network management, E2E slicing, this survey emphasizes the role of XAI in them and the use cases that the general users would ultimately enjoy. Furthermore, we presented the lessons learned from recent efforts and future research directions on top of the currently conducted projects involving XAI.

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Section: Collection Of Datamentioning

confidence: 99%

A Survey on XAI for Beyond 5G Security: Technical Aspects, Use Cases, Challenges and Research Directions

Senevirathna¹,

Salazar²,

La³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Among the different aspects of social interaction with robots, individuals' trust in robots is a key-point for facilitating success in human-robot interaction scenarios [30]. The lack of trust and willingness in interacting with artificial intelligence machines may instigate people's hesitance in using technological agents [23].…”

Section: Human-robot Interactionmentioning

confidence: 99%

Social robots as leaders: leadership styles in human-robot teams

Lopes

Rocha

Ferreira

et al. 2021

2021 30th IEEE International Conference on Robot &Amp; Human Interactive Communication (RO-MAN)

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This paper explores robotic leadership and the impact of different human-leadership styles in teams leaded by social robots. It is anticipated that social robots can have the capability to serve as leaders for human teams and to collaborate with humans in order to improve the organizational requirements of the workplace environment. We report an experiment conducted in order to determine which humanleadership styles would be associated with better results in organizational phenomena, such as, employee productivity, role ambiguity, engagement and employee satisfaction. The sample comprised 108 collaborators divided in 36 teams, who had to perform a collaborative task with a robotic leader acting according to two different leadership styles. The experiment results showed that both leadership styles can have positive impacts in organizational outcomes, although in different aspects. These findings yield important insights for the creation of robotic partners and for the successful introduction of robots as leaders of human teams.

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Exploring Interaction Design Considerations for Trustworthy Language-Capable Robotic Wheelchairs in Virtual Reality

Cited by 2 publications

References 30 publications

A Survey on XAI for Beyond 5G Security: Technical Aspects, Use Cases, Challenges and Research Directions

A Survey on XAI for Beyond 5G Security: Technical Aspects, Use Cases, Challenges and Research Directions

Social robots as leaders: leadership styles in human-robot teams

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