Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/18035
Title: | Virtual reality-based simulation of age-related visual deficiencies: Implementation and evaluation in the design process | Authors: | Zavlanou, Christina Lanitis, Andreas |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Virtual reality;Simulation;Elderly-friendly design | Issue Date: | 25-Jul-2019 | Source: | 1st International Conference on Human Interaction and Emerging Technologies, 2019, 22-24 August, Nice, France | Conference: | 1st International Conference on Human Interaction and Emerging Technologies | Abstract: | Age-related changes significantly affect elderly users’ interaction with specific products and services. Nevertheless, the challenges experienced by elderly users are difficult to be perceived and understood, especially by younger people. Inspired by the concept of aging suits, we propose a Virtual Reality-based approach, where age-related visual impairments are simulated in virtual environments. The aim is to provide an approximation of the experience of viewing and interacting with a product, from the perspective of elderly persons with specific age-related visual problems. The effectiveness of the proposed approach is examined through an experiment involving package design evaluation. The experimental results demonstrate that Virtual Reality can play an important role on understanding the challenges that elderly users face, thus support the design of elderly-friendly products. | URI: | https://hdl.handle.net/20.500.14279/18035 | ISBN: | 9783030256296 | DOI: | 10.1007/978-3-030-25629-6_41 | Rights: | © Springer Nature Switzerland AG 2020 | Type: | Conference Papers | Affiliation : | Cyprus University of Technology Research Center on Interactive Media, Smart Systems and Emerging Technologies |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
SCOPUSTM
Citations
5
3
checked on Nov 6, 2023
Page view(s) 50
323
Last Week
0
0
Last month
3
3
checked on Dec 22, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.