What Could a Body Tell a Social Robot that It Does Not Know?

Dennis Küster, Arvid Kappas
{"title":"What Could a Body Tell a Social Robot that It Does Not Know?","authors":"Dennis Küster, Arvid Kappas","doi":"10.5220/0004892503580367","DOIUrl":null,"url":null,"abstract":"Humans are extremely efficient in interacting with each other. They not only follow goals to exchange information, but modulate the interaction based on nonverbal cues, knowledge about situational context, and person information in real time. What comes so easy to humans poses a formidable challenge for artificial systems, such as social robots. Providing such systems with sophisticated sensor data that includes expressive behavior and physiological changes of their interaction partner holds much promise, but there is also reason to be skeptical. We will discuss issues of specificity and stability of responses with view to different levels of context.","PeriodicalId":326453,"journal":{"name":"International Conference on Physiological Computing Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Physiological Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0004892503580367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Humans are extremely efficient in interacting with each other. They not only follow goals to exchange information, but modulate the interaction based on nonverbal cues, knowledge about situational context, and person information in real time. What comes so easy to humans poses a formidable challenge for artificial systems, such as social robots. Providing such systems with sophisticated sensor data that includes expressive behavior and physiological changes of their interaction partner holds much promise, but there is also reason to be skeptical. We will discuss issues of specificity and stability of responses with view to different levels of context.
一个身体能告诉一个它不知道的社交机器人什么?
人类在与他人互动时效率极高。他们不仅遵循目标来交换信息,而且根据非语言线索、对情景背景的了解和实时的个人信息来调节互动。对人类来说如此简单的事情,对社交机器人等人工系统构成了巨大的挑战。为这样的系统提供复杂的传感器数据,包括它们的互动伙伴的表达行为和生理变化,这很有希望,但也有理由持怀疑态度。我们将根据不同层次的背景讨论反应的特异性和稳定性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信