Browsing by Author "Chalmers, Alan"

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    GCH 2021: Frontmatter
    (The Eurographics Association, 2021) Hulusic, Vedad; Chalmers, Alan; Hulusic, Vedad and Chalmers, Alan
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    Olfaction and Selective Rendering
    (© 2018 The Eurographics Association and John Wiley & Sons Ltd., 2018) Harvey, Carlo; Bashford‐Rogers, Thomas; Debattista, Kurt; Doukakis, Efstratios; Chalmers, Alan; Chen, Min and Benes, Bedrich
    Accurate simulation of all the senses in virtual environments is a computationally expensive task. Visual saliency models have been used to improve computational performance for rendered content, but this is insufficient for multi‐modal environments. This paper considers cross‐modal perception and, in particular, if and how olfaction affects visual attention. Two experiments are presented in this paper. Firstly, eye tracking is gathered from a number of participants to gain an impression about where and how they view virtual objects when smell is introduced compared to an odourless condition. Based on the results of this experiment a new type of saliency map in a selective‐rendering pipeline is presented. A second experiment validates this approach, and demonstrates that participants rank images as better quality, when compared to a reference, for the same rendering budget.Accurate simulation of all the senses in virtual environments is a computationally expensive task. Visual saliency models have been used to improve computational performance for rendered content, but this is insufficient for multi‐modal environments. This paper considers cross‐modal perception and, in particular, if and how olfaction affects visual attention. Two experiments are presented in this paper. Firstly, eye tracking is gathered from a number of participants to gain an impression about where and how they view virtual objects when smell is introduced compared to an odourless condition.
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    Safeguarding our Dance Cultural Heritage
    (The Eurographics Association, 2022) Aristidou, Andreas; Chalmers, Alan; Chrysanthou, Yiorgos; Loscos, Celine; Multon, Franck; Parkins, J. E.; Sarupuri, Bhuvan; Stavrakis, Efstathios; Hahmann, Stefanie; Patow, Gustavo A.
    Folk dancing is a key aspect of intangible cultural heritage that often reflects the socio-cultural and political influences prevailing in different periods and nations; each dance produces a meaning, a story with the help of music, costumes and dance moves. It has been transmitted from generation to generation, and to different countries, mainly due to movements of people carrying and disseminating their civilization. However, folk dancing, amongst other intangible heritage, is at high risk of disappearing due to wars, the moving of populations, economic crises, modernization, but most importantly, because these fragile creations have been modified over time through the process of collective recreation, and/or changes in the way of life. In this tutorial, we show how the European Project, SCHEDAR, exploited emerging technologies to digitize, analyze, and holistically document our intangible heritage creations, that is a critical necessity for the preservation and the continuity of our identity as Europeans.
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    Web tasks classification based on the dominant visual mechanism identification
    (The Eurographics Association, 2020) Gonçalves, Martinho Fradeira; Bessa, Maximino; Adão, Telmo; Magalhães, Luís; Chalmers, Alan; Magalhães, Luís and Santos, Beatriz
    The internet contains a wide variety of websites in terms of the information that is presented, their appearance, and layouts that can range from simple to highly complex. When creating new layouts, designers always try to capture the attention of the viewer to important areas of the website. However, the important areas where users will concentrate their attention often depend on the task they are currently focussing on within the website. Knowledge as to how the human visual system (HVS) works and what activity/task each user is currently performing on the website can play a significant role in allowing developers to create more efficient, targeted web pages. In this paper we investigate if it is possible to know what a user, at a specific time, is doing in a website. A study of a user's visual behaviour when navigating different web pages, is conducted by means of psychophysical experiments. These results are used to determine what action (namely performing a task or just exploring the website) users are performing at different points in time in a specific website. The results show that different tasks do indeed exhibit different visual patterns and it is thus possible to determine if a viewer is performing a task or simply viewing a webpage.