To Affinity and Beyond: Interactive Digital Humans as a Human Computer Interface

作者
Mike Seymour
出处
期刊:The University of Sydney - The Sydney eScholarship Repository [The University of Sydney]
摘要

The field of human computer interaction is increasingly exploring the use of more natural, human-like user interfaces to build intelligent agents to aid in everyday life. This is coupled with a move to people using ever more realistic avatars to represent themselves in their digital lives. As the ability to produce emotionally engaging digital human representations is only just now becoming technically possible, there is little research into how to approach such tasks. This is due to both technical complexity and operational implementation cost. This is now changing as we are at a nexus point with new approaches, faster graphics processing and enabling new technologies in machine learning and computer vision becoming available. I articulate the issues required for such digital humans to be considered successfully located on the other side of the phenomenon known as the Uncanny Valley. My results show that a complex mix of perceived and contextual aspects affect the sense making on digital humans and highlights previously undocumented effects of interactivity on the affinity. Users are willing to accept digital humans as a new form of user interface and they react to them emotionally in previously unanticipated ways. My research shows that it is possible to build an effective interactive digital human that crosses the Uncanny Valley. I directly explore what is required to build a visually realistic digital human as a primary research question and I explore if such a realistic face provides sufficient benefit to justify the challenges involved in building it. I conducted a Delphi study to inform the research approaches and then produced a complex digital human character based on these insights. This interactive and realistic digital human avatar represents a major technical undertaking involving multiple teams around the world. Finally, I explored a framework for examining the ethical implications and signpost future research areas.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
自信书竹完成签到,获得积分10
刚刚
刚刚
希望天下0贩的0的应助被wenbo采纳,获得10
1秒前
Liu_letters的应助被神秘破忒头采纳,获得10
2秒前
小乔同学发布了新的文献求助10
2秒前
小小完成签到,获得积分10
2秒前
2秒前
天选牛马人完成签到,获得积分10
2秒前
强健的面包的应助被时淮靖采纳,获得200
2秒前
pluto的应助被ohuuu采纳,获得10
3秒前
Mine完成签到,获得积分10
4秒前
5秒前
一朵约尔发布了新的文献求助10
5秒前
所所的应助被北栀采纳,获得10
5秒前
酷波er的应助被不辣的皮特采纳,获得10
5秒前
5秒前
jenson完成签到,获得积分10
6秒前
markwelch完成签到,获得积分10
6秒前
忧心的曼凝的应助被Huangzhisong采纳,获得10
7秒前
baozeNG发布了新的文献求助10
7秒前
9秒前
慕青的应助被落后寒凡采纳,获得10
9秒前
沈一碗完成签到,获得积分20
10秒前
10秒前
一朵约尔完成签到,获得积分10
10秒前
11秒前
Persist发布了新的文献求助10
11秒前
于5342完成签到,获得积分10
11秒前
12秒前
没所谓完成签到,获得积分10
12秒前
Vartan完成签到 ,获得积分10
12秒前
酷波er的应助被初遇之时最暖采纳,获得10
12秒前
12秒前
12秒前
JackLiu完成签到,获得积分10
12秒前
bkagyin的应助被rose采纳,获得10
12秒前
植柏完成签到,获得积分10
12秒前
慕青的应助被科研战士采纳,获得50
13秒前
alan发布了新的文献求助10
14秒前
kun完成签到 ,获得积分10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 1080
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
Cellulose and Cellulose Derivatives: Synthesis, Modification and Applications 600
Experimentelle und numerische Modellierung des dynamischen Trag- und Verformungsverhaltens von hochflexiblen Schutzsystemen gegen Steinschlag 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8150800
求助须知:如何正确求助?哪些是违规求助? 9547736
关于积分的说明 21682334
捐赠科研通 7738128
什么是DOI,文献DOI怎么找? 3424471
关于科研通互助平台的介绍 2549406
邀请新用户注册赠送积分活动 2467801