Immersive captioning : developing a framework for evaluating user needs

Hughes, CJ ORCID: https://orcid.org/0000-0002-4468-6660, Zapata, MB, Johnston, M and Orero, P 2020, Immersive captioning : developing a framework for evaluating user needs , in: IEEE AIVR 2020 : 3rd International Conference on Artificial Intelligence & Virtual Reality 2020, 14th-18th December 2020, Online.

[img]
Preview
PDF - Accepted Version
Download (3MB) | Preview
Access Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

This article focuses on captioning for immersive environments and the research aims to identify how to display them for an optimal viewing experience. This work began four years ago with some partial findings. This second stage of research, built from the lessons learnt, focuses on the design requirements cornerstone: prototyping. A tool has been developed towards quick and realistic prototyping and testing. The framework integrates methods used in existing solutions. Given how easy it is to contrast and compare, the need to further the first framework was obvious. A second improved solution was developed, almost as a showcase on how ideas can quickly be implemented for user testing. After an overview on captions in immersive environments, the article describes its implementation, based on web technologies opening for any device with a web browser. This includes desktop computers, mobile devices and head mounted displays. The article finishes with a description of the new caption modes leading to improved methods, hoping to be a useful tool towards testing and standardisation.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: IEEE AIVR 2020 : 3rd International Conference on Artificial Intelligence & Virtual Reality 2020
Publisher: IEEE
Related URLs:
Depositing User: Dr Chris Hughes
Date Deposited: 20 Oct 2020 08:14
Last Modified: 16 Feb 2022 05:49
URI: https://usir.salford.ac.uk/id/eprint/58518

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)