Attitudes Toward Signing Avatars Vary Depending on Hearing Status, Age of Signed Language Acquisition, and Avatar Type.
Attitudes Toward Signing Avatars Vary Depending on Hearing Status, Age of Signed Language Acquisition, and Avatar Type.
复制标题
DOI：
10.3389/fpsyg.2022.730917
复制
发表时间：
2022
影响因子：
3.8
通讯作者：
Ferster R
中科院分区：
文献类型：
--
作者：
Quandt LC;Willis A;Schwenk M;Weeks K;Ferster R
虚拟人（即化身）的使用为远程通信、客户服务或公共公告等领域的交互式、自动化交互提供了潜力。对于使用签名语言的用户，签名化身可以通过使用签名者的首选语言或母语共享信息来提供可访问的内容。近年来，随着虚拟签名技术的发展，研究人员提出了许多不同的虚拟签名方法。生成的虚拟形象在外观、动作的自然度和面部表情方面差异很大——所有这些都可能影响用户对虚拟形象的接受程度。我们设计了一项研究来测试不同的签名虚拟形象的这些内在特性的影响，同时也检查了人们自己的语言经历在多大程度上改变了他们对签名虚拟形象的反应。我们创建了视频刺激，显示了由(1)真人签名（human），(2)使用计算机合成动画（CS avatar）制作的化身，以及(3)使用高保真动作捕捉（Mocap avatar）制作的化身产生的个人手势。我们调查了191名美国手语使用者，包括聋哑人（N = 83）、重听人（N = 34）和听力人（N = 67）组。参与者在多个维度上给三位签名者打分，然后将这些打分结合起来形成态度、印象、理解和自然度的评分。分析表明，在所有主要变量上，动作捕捉角色的评分明显高于CS角色。相关研究表明，在较晚的年龄习得手语的人更容易接受并可能对手语虚拟形象产生积极的印象。最后，那些更早学习美国手语的人更有可能给CS角色更低、更负面的评级，但我们没有看到动作捕捉角色或人类手语的这种关联。总之，这些研究结果表明，动作质量和外观显著影响用户对手语虚拟形象的评分，并表明，较早习得美国手语的手语用户对计算机生成的虚拟形象的动作质量问题最敏感。我们建议未来在开发手语化身时，考虑保留手语语言不可或缺的流畅运动特性。
The use of virtual humans (i.e., avatars) holds the potential for interactive, automated interaction in domains such as remote communication, customer service, or public announcements. For signed language users, signing avatars could potentially provide accessible content by sharing information in the signer's preferred or native language. As the development of signing avatars has gained traction in recent years, researchers have come up with many different methods of creating signing avatars. The resulting avatars vary widely in their appearance, the naturalness of their movements, and facial expressions—all of which may potentially impact users' acceptance of the avatars. We designed a study to test the effects of these intrinsic properties of different signing avatars while also examining the extent to which people's own language experiences change their responses to signing avatars. We created video stimuli showing individual signs produced by (1) a live human signer (Human), (2) an avatar made using computer-synthesized animation (CS Avatar), and (3) an avatar made using high-fidelity motion capture (Mocap avatar). We surveyed 191 American Sign Language users, including Deaf (N = 83), Hard-of-Hearing (N = 34), and Hearing (N = 67) groups. Participants rated the three signers on multiple dimensions, which were then combined to form ratings of Attitudes, Impressions, Comprehension, and Naturalness. Analyses demonstrated that the Mocap avatar was rated significantly more positively than the CS avatar on all primary variables. Correlations revealed that signers who acquire sign language later in life are more accepting of and likely to have positive impressions of signing avatars. Finally, those who learned ASL earlier were more likely to give lower, more negative ratings to the CS avatar, but we did not see this association for the Mocap avatar or the Human signer. Together, these findings suggest that movement quality and appearance significantly impact users' ratings of signing avatars and show that signed language users with earlier age of ASL acquisition are the most sensitive to movement quality issues seen in computer-generated avatars. We suggest that future efforts to develop signing avatars consider retaining the fluid movement qualities integral to signed languages.
登录
查看更多内容
影响因子：
5.4
作者：
Caselli NK;Sehyr ZS;Cohen-Goldberg AM;Emmorey K
通讯作者：
Emmorey K
影响因子：
2.4
作者：
Alexanderson, Simon;Beskow, Jonas
通讯作者：
Beskow, Jonas
影响因子：
2
作者：
Kushalnagar, P.;Topolski, T. D.;Patrick, D. L.
通讯作者：
Patrick, D. L.
影响因子：
3.7
作者：
Kennaway, J. R.;Glauert, J. R. W.;Zwitserlood, I.
通讯作者：
Zwitserlood, I.
影响因子：
11.3
作者：
Fernandes, Teresa;Oliveira, Elisabete
通讯作者：
Oliveira, Elisabete