Testing of Autonomous Systems – Challenges and Current State‐of‐the‐Art

Helle, Philipp; Schamai, Wladimir; Strobel, Carsten

doi:10.1002/j.2334-5837.2016.00179.x

Cited by 47 publications

(29 citation statements)

References 31 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, testing becomes one of the biggest challenges, while existing software testing methodologies cannot cope with the challenges of testing autonomous systems, mainly due to the fact that systems' behavior not only depends on design and implementation, but also on the acquired knowledge of the system (Helle, Schamai, & Strobel, 2016). Furthermore, as AI matures, it will be critical to study its influence on humans and society, on a short-term and long-term basis, which requires engagement with interdisciplinary groups, including computer scientists, social scientists, psychologists, economists, and lawyers, developing assessments and guidance through focused studies, monitoring, and analysis (Horvitz, 2017).…”

Section: Human Safetymentioning

confidence: 99%

Seven HCI Grand Challenges

Stephanidis

Salvendy

Antona

et al. 2019

International Journal of Human–Computer Interaction

343

111

View full text Add to dashboard Cite

This article aims to investigate the Grand Challenges which arise in the current and emerging landscape of rapid technological evolution towards more intelligent interactive technologies, coupled with increased and widened societal needs, as well as individual and collective expectations that HCI, as a discipline, is called upon to address. A perspective oriented to humane and social values is adopted, formulating the challenges in terms of the impact of emerging intelligent interactive technologies on human life both at the individual and societal levels. Seven Grand Challenges are identified and presented in this article: Human-Technology Symbiosis; Human-Environment Interactions; Ethics, Privacy and Security; Well-being, Health and Eudaimonia; Accessibility and Universal Access; Learning and Creativity; and Social Organization and Democracy. Although not exhaustive, they summarize the views and research priorities of an international interdisciplinary group of experts, reflecting different scientific perspectives, methodological approaches and application domains. Each identified Grand Challenge is analyzed in terms of: concept and problem definition; main research issues involved and state of the art; and associated emerging requirements. BACKGROUNDThis article presents the results of the collective effort of a group of 32 experts involved in the community of the Human Computer Interaction International (HCII) Conference series. The group's collaboration started in early 2018 with the collection of opinions from all group members, each asked to independently list and describe five HCI grand challenges. During a one-day meeting held on the 20th July 2018 in the context of the HCI International 2018 Conference in Las Vegas, USA, the identified topics were debated and challenges were formulated in terms of the impact of emerging intelligent interactive technologies on human life both at the individual and societal levels. Further analysis and consolidation led to a set of seven Grand Challenges presented herein. This activity was organized and supported by the HCII Conference series.

show abstract

Section: Human Safetymentioning

confidence: 99%

Seven HCI Grand Challenges

Stephanidis

Salvendy

Antona

et al. 2019

International Journal of Human–Computer Interaction

343

111

View full text Add to dashboard Cite

show abstract

“…Although in theory upfront design-time verification techniques could be used to analyze their properties, research has shown that the complexity of these systems makes static analysis practically unfeasible (Helle et al 2016;Koopman & Wagner 2016). In contrast, run-time techniques, such as simulation or monitoring, can still provide very relevant information at a lower cost (Babikian 2020).…”

Section: Simulationmentioning

confidence: 99%

Modeling Objects with Uncertain Behaviors.

Muñoz

Karkhanis

Brand

et al. 2021

JOT

View full text Add to dashboard Cite

Modeling the behavior of complex systems that operate in real environments, deal with physical elements, or interact with humans is a challenging task. It involves the explicit representation of aspects of behavioral uncertainty that are inherent in the system, but generally neglected in software models. In this paper, we focus on the explicit representation of the behavior of objects of complex systems, considering their motivations, randomness, and the different types of underlying uncertainty that affect their actions. We show how such uncertain behaviors can be effectively modeled in UML and OCL, and how the specifications produced can be used to simulate and analyze these systems.

show abstract

“…An 'autonomous system' is defined as one that takes actions on its own to achieve goals provided independently by whomever defines them or will benefit from their achievement. Also, the decision-making process is local and offline (13)(14)(15)(16) .…”

Section: Autonomous Versus Automatedmentioning

confidence: 99%

The state of the art and operational scenarios for urban air mobility with unmanned aircraft

Maia

Saúde

2021

Aeronaut. j.

View full text Add to dashboard Cite

A state-of-the-art review of all the developments, standards and regulations associated with the use of major unmanned aircraft systems under development is presented. Requirements and constraints are identified by evaluating technologies specific to urban air mobility, considering equivalent levels of safety required by current and future civil aviation standards. Strategies, technologies and lessons learnt from remotely piloted aviation and novel unmanned traffic management systems are taken as the starting point to assess operational scenarios for autonomous urban air mobility.

show abstract

Testing of Autonomous Systems – Challenges and Current State‐of‐the‐Art

Cited by 47 publications

References 31 publications

Seven HCI Grand Challenges

Seven HCI Grand Challenges

Modeling Objects with Uncertain Behaviors.

The state of the art and operational scenarios for urban air mobility with unmanned aircraft

Contact Info

Product

Resources

About