Prof. Dr.-Ing. Barbara Deml
Prof. Dr.-Ing. Barbara Deml studied psychology and speech communication at the University of Regensburg. In her doctoral studies she did research in the field of telerobotics and telepresence with a major concern on the design of haptic human-machine interaction. Her dissertation thesis in doctoral engineering was honoured with a research award by the University of the Armed Forces. After postdoctoral studies at TU München and Carnegie Mellon University (Pittsburgh, PA) she joined the University of the Armed Forces as Assistant Professor for Cognitive Ergonomics. In 2009 she became a Full Professor at Ottovon-Guericke-Universität Magdeburg and in 2012 she joined the KIT. Since this time, Prof. Deml is head of the Institute of Human and Industrial Engineering and besides, active in several committees, such as Vice President of the German Society of Work Science. Her major research focus is on the design of human-robot-interfaces, user state and intention prediction as well as on the impact of automation on human users.
Prof. Dr.-Ing. Barbara Deml
Karlsruhe Institute of Technology
Institute of Human and Industrial Engineering (IFAB)
Engler-Bunte-Ring 4, Bldg. 10.91, Room 007
76131 Karlsruhe, Germany
Phone: +49 721 608-44250
On the design of artifical intelligence that understands human behavior – an example within the domain of autonomous driving
Prof. Dr.-Ing. Dipl.Psych. Barbara Deml*. Prof. Dr.-Ing. Fernando Puente León**.M. Sc. Jonas Imbsweiler*. M. Sc. Hannes Weinreuter**
Karlsruhe Institute of Technology (KIT). Institute of Human and Industrial Engineering (ifab)*. Institute of Industrial Information Processing (IIIT)**
At a first sight, there is no need for an artificial intelligence to behave like a human being. Of course, its perceptual system is based on different sensors as well as its information processing and decision taking differ from human cognition. However, an artifical intelligence is not an end in itself, but it is intended to assist a human user. And due to that reason, it is not sufficient to design only an artificial system that is intelligent – what, however, is difficult enough. But it is needed to design a system, which is intelligent and which is able to understand, at least particially, human behavior and human experience. Besides, it has to be able to behave and to act so that a human user accepts it.
Within this work an example of such an artificially intelligent system is provided that refers to the domain of autonomous driving, which has been discussed so often in recent days. There are numerous traffic situations in which a blockade of the traffic flow occurs when there is no cooperative behavior between the road users. Such situations cannot always be regulated by traffic rules, as is the case, for example, when road users approach a constriction with obstacles on both sides of the road, a T-junction, or a X-junction simultaneously. Within this work, a consortium of measurement and control engineers as well as ergonomics investigates how automated vehicles can interact intelligently with non-automated road users in such cooperative traffic scenarios.To this end, an empirical study with a test vehicle was carried out, in which the interaction of a human car driver acting as the test subject is examined in several representative cooperative scenarios with other, instructed road users. Based on this study, it was analyzed how human beings communicate in such situations, and a discrete-event model is developed to describe the underlying cooperative decision-making behavior. Next it is to be examined whether the optimized behavior is understood and accepted by humans. To this end, in a second survey in a driving simulator it will be analyzed both whether a human passenger of the automated vehicle agrees with the vehicle's decisions, and whether a human road user is able to implicitly and explicitly communicate with the automated vehicle in a familiar way.The results of this project will contribute to design automated vehicle behavior to seamlessly fit in the human traffic environment at the time of their practical application.
This work is carried out within the DFG Priority Programme SP1835 – Cooperative Interacting Vehicles