Spatial visualization learning in engineering: traditional methods vs. a web-based tool

This study compares an interactive learning manager for graphic engineering to develop spatial vision (ILMAGE_SV) to traditional methods. ILMAGE_SV is an asynchronous web-based learning tool that allows the manipulation of objects with a 3D viewer, self-evaluation, and continuous assessment. In addition, student learning may be monitored, which saves a significant amount of time for the teacher, as both correction and grading are automatically performed. Our aim in this study is to establish whether the application is an effective tool for learning spatial visualization. Students of engineering graphics following an industrial engineering degree course at the University of Burgos (Spain) participated in a pilot project over two academic years. The students were separated into two groups: an experimental group that studied with the ILMAGE_SV web application and a control group taught with traditional methods. Our study demonstrates that the results of both methods, with regard to the development of spatial vision, are in general equal. Nevertheless, ILMAGE_SV is more efficient for students who experience greater difficulties with spatial vision and for students with no prior knowledge of technical drawing

Developing experimental learning in a graphical course using Thurstone's Law of comparative judgment

In this paper, one innovative educational experiment to help student obtain a better way to learn spatial vision in graphical course was carried out. After implementation of the improvements into a graphical engineering course, an evaluation study, through surveys, was conducted to investigate the effectiveness of this visual experiment. This empirical study provided one hundred and sixty four andalusian freshmen three types of visualization (2D static depictions, 3D computer depictions and an augmented reality environment that allows multiple participants to interact with 2D and 3D data) required to improve their skills related to spatial vision. According to results, most students showed positive attitudes toward this practice. In addition, students perceived positive impacts of this effort on their learning experience. The responses to surveys illustrated that students prefer 3D traditional learning, however they think augmented reality learning is no useful for better visual understanding of different objects. [ABSTRACT FROM AUTHOR

Fireground location understanding by semantic linking of visual objects and building information models

This paper presents an outline for improved localization and situational awareness in fire emergency situations based on semantic technology and computer vision techniques. The novelty of our methodology lies in the semantic linking of video object recognition results from visual and thermal cameras with Building Information Models (BIM). The current limitations and possibilities of certain building information streams in the context of fire safety or fire incident management are addressed in this paper. Furthermore, our data management tools match higher-level semantic metadata descriptors of BIM and deep-learning based visual object recognition and classification networks. Based on these matches, estimations can be generated of camera, objects and event positions in the BIM model, transforming it from a static source of information into a rich, dynamic data provider. Previous work has already investigated the possibilities to link BIM and low-cost point sensors for fireground understanding, but these approaches did not take into account the benefits of video analysis and recent developments in semantics and feature learning research. Finally, the strengths of the proposed approach compared to the state-of-the-art is its (semi -)automatic workflow, generic and modular setup and multi-modal strategy, which allows to automatically create situational awareness, to improve localization and to facilitate the overall fire understanding

Design research and visual analysis

Design research has been built on the method and contextual paradigms that have been the traditions of a range of other research areas. This situation creates distinct issues and challenges for the researcher and the research community. Particularly in methods available for the visual analysis of product shape, it was sensed that the existing ones were not enough to provide information that was significant to design concerns. For the analysis of artefacts, there is a plethora of methods readily available. However it is our experience that, as borrowed investigative tools, these do not supply design-relevant information on consumer products. We discuss the need for a new way that effectively considers products as design artefacts while focusing exclusively on their outward appearance.Peer reviewe

Narrative Visualization: Sharing Insights into Complex Data

This paper is a reflection on the emerging genre of narrative visualization, a creative response to the need to share complex data engagingly with the public. In it, we explain how narrative visualization offers authors the opportunity to communicate more effectively with their audience by reproducing and sharing an experience of insight similar to their own. To do so, we propose a two part model, derived from previous literature, in which insight is understood as both an experience and also the product of that experience. We then discuss how the design of narrative visualization should be informed by attempts elsewhere to track the provenance of insights and share them in a collaborative setting. Finally, we present a future direction for research that includes using EEG technology to record neurological patterns during episodes of insight experience as the basis for evaluation