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2018
Drechsler, R.; Lüth, C.; Fey, G.; Güneysu, T. (2018) : Towards Self-Explaining Digital Systems: A Design Methodology for the Next Generation: 2018 IEEE 3rd International Verification and Security Workshop (IVSW): Costa Brava, Spain: IEEE, S. 1-6

DOI: https://doi.org/10.1109/IVSW.2018.8494900

Abstract: As digital systems get ever more complex, their behaviour may at times appear unfathomable. Users will only be prepared to accept this if they are convinced that the system does indeed work correctly. Thus, we argue the need for self-explaining systems: systems that are able to explain their behaviour, and the reasons for it. In this paper, we propose first steps towards a design methodology for such systems, and argue that beyond user acceptance, self-explanation also has other applications such as self-verification and reconfiguration. We propose a conceptual framework for self-explaining systems, discuss how to achieve completeness, and consider implementation aspects.

Keywords: Design methodology, formal verification, ieee xplore, Künstliche Intelligenz, Manipulators, program verification, Runtime, safety, Security, self-explaining digital systems, Temperature sensors, User acceptance
2005
Kiesler, S. (2005) : Fostering common ground in human-robot interaction: ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005: ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005: Nashville, TN, USA: IEEE, S. 729-734

DOI: https://doi.org/10.1109/ROMAN.2005.1513866

Abstract: Effective communication between people and interactive robots would benefit if they have a common ground of understanding. I discuss how the common ground principle of least collective effort can be used to predict and design human robot interactions. Social cues lead people to create a mental model of a robot and estimates of its knowledge. People’s mental model and knowledge estimate would, in turn, influence the effort they expend to communicate with the robot. People would explain their message in less detail to a knowledgeable robot with which they have more common ground. This process can be leveraged to design interactions that have an appropriate style of robot direction and that accommodate to differences among people.

Keywords: Airports, Angemessen(heit) (von Technik), Cognitive robotics, Cognitive Science, common ground principle, Communication effectiveness, Human robot interaction, Humanoid Robots, human-robot interaction, ieee xplore, interactive robots, knowledge estimation, mental model, Orbital robotics, Robot kinematics, Security, social robots, Testing, user interfaces

2018

2005

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