| 1. |
- Hägele, Georg, et al.
(författare)
-
Situational Hazard Recognition and Risk Assessment Within Safety-Driven Behavior Management in the Context of Automated Driving
- 2020
-
Ingår i: Proceedings 2020 IEEE International Conference on Cognitive andComputational Aspects of Situation Management (CogSIMA), Virtual Conference24-28 August 2020. - : IEEE. - 9781728160016 ; , s. 188-194
-
Konferensbidrag (refereegranskat)abstract
- This paper addresses the problem of hazard recognition and risk assessment in open and non-predictive environments to support decision making and action selection. Decision making and action selection incorporate decreasing situational risks and maintain safety as operational constraints. Commonly, neither existing application-related safety standards nor the situation modeling or knowledge representation is considered in that context. This contribution introduces a novel approach denoted as a Safety-Driven Behavior Management focusing on situation modeling and the problem of knowledge representation in its sub-functions in the context of situational risks. It combines the safety standards-oriented hazard analysis and the risk assessment approach with the machine learning-based situation recognition. An example illustrating the approach is presented in this paper.
|
|
| 2. |
- Hägele, Georg, et al.
(författare)
-
Situational risk assessment within safety-driven behavior management in the context of UAS
- 2020
-
Ingår i: 2020 International Conference on Unmanned Aircraft Systems (ICUAS). - : IEEE. - 9781728142784 - 9781728142791 ; , s. 1407-1415
-
Konferensbidrag (refereegranskat)abstract
- This paper addresses the problem of hazard recognition and risk assessment in open and non-predictive environments to support decision making and action selection for UAS. Decision making and action selection incorporate decreasing situational risks and maintain safety as operational constraints. Commonly, neither existing safety standards nor the situation modeling or knowledge representation is considered in that context. This contribution applies a novel approach denoted as a Safety-Driven Behavior Management for UAS focusing on situation modeling, and the problem of knowledge representation in the context of situational risks. It combines the safety standards-oriented hazards analysis and the risk assessment approach with the machine learning-based situation recognition. The illustrative scenario and first experimental results underline the feasibility of the novel approach.
|
|
| 3. |
- Kadish, David, et al.
(författare)
-
Towards Situation Awareness and Attention Guidance in a Multiplayer Environment using Augmented Reality and Carcassonne
- 2022
-
Ingår i: CHI PLAY 2022 - Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play. - New York, NY, USA : ACM. - 9781450392112 ; , s. 133-139
-
Konferensbidrag (refereegranskat)abstract
- Augmented reality (AR) games are a rich environment for researching and testing computational systems that provide subtle user guidance and training. In particular computer systems that aim to augment a user's situation awareness benefit from the range of sensors and computing power available in AR headsets. The main focus of this work-in-progress paper is the introduction of the concept of the individualized Situation Awareness-based Attention Guidance (SAAG) system used to increase humans' situating awareness and the augmented reality version of the board game Carcassonne for validation and evaluation of SAAG. Furthermore, we present our initial work in developing the SAAG pipeline, the generation of game state encodings, the development and training of a game AI, and the design of situation modeling and eye-tracking processes.
|
|
