von Werner Damm ; Martin Fränzle ; Alyssa J. Kerscher ; Forrest Laine ; Klaus Bengler ; Bianca Biebl ; Willem Hagemann ; Moritz Held ; David Hess ; Klas Ihme ; Severin Kacianka ; Sebastian Lehnhoff ; Andreas Lüdtke ; Alexander Pretschner ; Astrid Rakow ; Jochem Rieger ; Daniel Sonntag ; Janos Sztipanovits ; Maike Schwammberger ; Mark Schweda ; Alexander Trende ; Anirudh Unni ; Eric M. S. P. Veith
Gesehen am 02.04.2024 ; Published online 14 Jan. 2024
"The design and analysis of multi-agent human cyber-physical systems in safety-critical or industry-critical domains calls for an adequate semantic foundation capable of exhaustively and rigorously describing all emergent effects in the joint dynamic behavior of the agents that are relevant to their safety and well-behavior. We present such a semantic foundation. This framework extends beyond previous approaches by extending the agent-local dynamic state beyond state components under direct control of the agent and belief about other agents (as previously suggested for understanding cooperative as well as rational behavior) to agent-local evidence and belief about the overall cooperative, competitive, or coopetitive game structure. We argue that this extension is necessary for rigorously analyzing systems of human cyber-physical systems because humans are known to employ cognitive replacement models of system dynamics that are both non-stationary and potentially incongruent. These replacement models induce visible and potentially harmful effects on their joint emergent behavior and the interaction with cyber-physical system components." - www.acm.org
ACM transactions on cyber-physical systems New York, NY : ACM, 2017 8(2024), 1, Artikel-ID 4, Seite 1-23 Online-Ressource
Human-Cyber-Physical Systems (HCPS) sollen sicherheitskritische Situationen. Menschmodelle ermöglichen es dem HCPS dynamisch auf Zustände und Verhalten des Menschen einzugehen. So können sicherheitskritische Situationen, welche durch negativen Menschzustände oder Verhalten verursacht werden, im Vornherein verhindert beziehungsweise der Schaden minimiert werden. Im Zuge dieser Arbeit wurden verschiedene Modellierungsansätze für Intentions- und Zustandserkennung für die Verwendung von hochautonomen Fahrzeugen präsentiert. Hierbei wurde ein Fokus auf die Synthese verschiedener Datenquellen und eine etwaige Verbesserung der Modellleistung gelegt. Im Kontext von hochautonomen Fahrzeugen als HCPS wurden außerdem zwei weitere wichtige Aspekte untersucht: die Interaktion zwischen HAV und menschlichen Fahrer:innen und die Personalisierung von HAV. Beide Aspekte sind wichtig für die Nutzerakzeptanz der Technologie und somit auch die Einführung von HAV in die Gesellschaft.
Human-Cyber-Physical Systems (HCPS) are designed to handle safety-critical situations. Human models enable the HCPS to dynamically respond to human states and behavior. Thus, safety-critical situations caused by negative human states or behavior can be prevented in advance or the damage can be minimized. In the course of this work, different modeling approaches for intention and state recognition for the use of highly autonomous vehicles were presented. Here, a focus was placed on the synthesis of different data sources and a possible improvement of the model performance. In the context of highly autonomous vehicles as HCPS, two other important aspects were also investigated: the interaction between HAV and human drivers and the personalization of HAV. Both aspects are important for user acceptance of the technology and thus the introduction of HAV into society.
von Anirudh Unni ; Alexander Trende ; Claire Pauley ; Lars Weber ; Bianca Biebl ; Severin Kacianka ; Andreas Lüdtke ; Klaus Bengler ; Walter Alexander Pretschner ; Martin Fränzle ; Jochem Rieger
13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications New York,NY,United States : Association for Computing Machinery, 2021 (2021), Seite 77-80 1 online resource (234 pages)
HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry 1st ed. 2021. Cham : Springer International Publishing, 2021 (2021), Seite 219-234 1 Online-Ressource(XXI, 670 p. 339 illus., 282 illus. in color.)
HCI International 2020 – Late Breaking Posters 1st ed. 2020. Cham : Springer International Publishing, 2020 (2020), Seite 390-397 1 Online-Ressource(XXX, 651 p. 253 illus., 221 illus. in color.)
