Simulation of human movement and behaviour in crowded spaces using gaming software

This paper discusses the development of human movement and behaviour simulation in crowded spaces as part of the AUNT-SUE (Accessibility and User Needs in Transport for Sustainable Urban Environments) research project. The research starts with applying a video observational method to understand human movement and behaviour in crowded spaces in the real world. Six hours of video were recorded at a multi-mode transportation system and almost 19,000 individual human movements and behaviours were analyzed. Six types of behaviour were derived from the three major movements of free, opposite and same direction. Six factors affecting human movement and behaviour were recognized from the video analysis. The DarkBASIC Professional gaming software was used to simulate the human movement and behaviour in the virtual world. The six factors affecting human movement and behaviour were considered as the parameters for the virtual humans. Case studies considering multi-mode transportation systems, bottleneck and non-bottleneck situations were applied to validate the prototype software system

Motion in place: a case study of archaeological reconstruction using motion capture

Human movement constitutes a fundamental part of the archaeological process, and of any interpretationof a site’s usage; yet there has to date been little or no consideration of how movement observed (incontemporary situations) and inferred (in archaeological reconstruction) can be documented. This paper reports on the Motion in Place Platform project, which seeks to use motion capture hardware and data totest human responses to Virtual Reality (VR) environments and their real-world equivalents using round houses of the Southern British Iron Age which have been both modelled in 3D and reconstructed in the present day as a case study. This allows us to frame questions about the assumptions which are implicitlyhardwired into VR presentations of archaeology and cultural heritage in new ways. In the future, this will lead to new insights into how VR models can be constructed, used and transmitted

Initial Evaluation of Accessibility and Design Awareness with 3-D Immersive Environments

This paper describes an effort to build and evaluate the effectiveness of an immersive 3-D visualization system to help increase the awareness that students have when designing software that has a high level of accessibility for the differently abled. The demonstration utilizes an immersive virtual reality (VR) environment in which we simulated two types of colorblindness in a generally familiar environment. We report on the initial trial of this tool and the results of student surveys designed to assess impact on student perception and understanding and demonstrate that the use of virtual environments can give students greater empathy for individuals with visual impairments

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

Instrumenting and collecting annotated visual grasping datasets to train modern machine learning algorithms can be extremely time-consuming and expensive. An appealing alternative is to use off-the-shelf simulators to render synthetic data for which ground-truth annotations are generated automatically. Unfortunately, models trained purely on simulated data often fail to generalize to the real world. We study how randomized simulated environments and domain adaptation methods can be extended to train a grasping system to grasp novel objects from raw monocular RGB images. We extensively evaluate our approaches with a total of more than 25,000 physical test grasps, studying a range of simulation conditions and domain adaptation methods, including a novel extension of pixel-level domain adaptation that we term the GraspGAN. We show that, by using synthetic data and domain adaptation, we are able to reduce the number of real-world samples needed to achieve a given level of performance by up to 50 times, using only randomly generated simulated objects. We also show that by using only unlabeled real-world data and our GraspGAN methodology, we obtain real-world grasping performance without any real-world labels that is similar to that achieved with 939,777 labeled real-world samples.Comment: 9 pages, 5 figures, 3 table

Technology that enhances without inhibiting learning

Technology supported information sharing could be argued to both enhance and inhibit learning. However, social and affective issues that motivate learners' technology interactions are often overlooked. Are learners avoiding valuable learning applications because of privacy fears and trust issues? Will inaccurate technology assumptions and awareness inhibit information sharing? Do learners need control over technology enhanced safe creative spaces or can they be motivated to overcome badly designed systems because sharing is 'valuable' or 'fun'. This presentation details a model of privacy and trust issues that can be used to enhance elearning. Several OU case-studies of multimedia, mobile and elearning applications (conducted within IET, KMI and the Open CETL) are evaluated using this model. The model helps to identify trade-offs that learners make for technology enhanced or inhibited learning. Theories of control, identity, information sensitivity and re-use are discussed within the context of these elearning examples

Space Station Human Factors Research Review. Volume 4: Inhouse Advanced Development and Research

A variety of human factors studies related to space station design are presented. Subjects include proximity operations and window design, spatial perceptual issues regarding displays, image management, workload research, spatial cognition, virtual interface, fault diagnosis in orbital refueling, and error tolerance and procedure aids

An Introduction to 3D User Interface Design

3D user interface design is a critical component of any virtual environment (VE) application. In this paper, we present a broad overview of three-dimensional (3D) interaction and user interfaces. We discuss the effect of common VE hardware devices on user interaction, as well as interaction techniques for generic 3D tasks and the use of traditional two-dimensional interaction styles in 3D environments. We divide most user interaction tasks into three categories: navigation, selection/manipulation, and system control. Throughout the paper, our focus is on presenting not only the available techniques, but also practical guidelines for 3D interaction design and widely held myths. Finally, we briefly discuss two approaches to 3D interaction design, and some example applications with complex 3D interaction requirements. We also present an annotated online bibliography as a reference companion to this article