Visual Appearance Features of Sign Language Avatars

Author:

ATASOY Murat1ORCID,ŞILBIR Lokman1,FİŞ ERÜMİT Semra2,BAHÇEKAPILI Ekrem2,YILDIZ Adil1,KARAL Hasan1

Affiliation:

1. TRABZON UNIVERSITY

2. KARADENIZ TECHNICAL UNIVERSITY

Abstract

Purpose: 3D Sign language avatars communicate with individuals in digital environments, like educational agents. However, while designing educational agents, the target group comes to the fore. In the literature, it is seen that the visual appearance features that should be considered in the creation of avatar designs are specified in diverse ways. Main goal of this study is to evaluate the sign language avatars’ visual appearance features in the literature and applications within the framework of educational agents. Design/Methodology/Approach: In this study, seventy-nine different sign language avatars’ images were evaluated within the framework of visual appearance features. Seven category and fifteen features were evaluated by four field experts through focus group discussions. Findings: In the evaluation, seven important categories were determined in avatar visual appearance. It is seen that the eye and head designs of avatars are generally designed in normal size. If an iconic design process is being carried out, eye, head, arm, and finger visual appearances should be designed larger than normal. If a realistic design process is carried out, eye, head, finger, palm, and arm visual appearances should be designed in normal sizes. Highlights: When designing sign language avatars, the upper body should be visible. In addition, what the target group will be affects the gender and iconicity of the avatar. Avatar should be designed simply so that individuals do not overload their visual channel. Also, different visual appearance features should be considered for iconic or realistic avatars. In addition to this, it is recommended that the hand and head sizes should be bigger than normal in order to understand the signs and non-manual signs more clearly.

Publisher

Kastamonu Egitim Dergisi

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Inclusive Deaf Education Enabled by Artificial Intelligence: The Path to a Solution;International Journal of Artificial Intelligence in Education;2024-07-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3