Emotion space modelling for social robots

被引:33
作者
Yan, Fei [1 ]
Iliyasu, Abdullah M. [2 ,3 ]
Hirota, Kaoru [3 ,4 ]
机构
[1] Changchun Univ Sci & Technol, Sch Comp Sci & Technol, Changchun 130022, Peoples R China
[2] Prince Sattam Bin Abdulaziz Univ, Coll Engn, Al Kharj 11942, Saudi Arabia
[3] Tokyo Inst Technol, Sch Comp, Yokohama, Kanagawa 2268502, Japan
[4] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
关键词
Artificial emotional intelligence; Quantum computing; Emotion space; Social robots; Communication atmosphere; Human?robot interaction; FUZZY ATMOSFIELD; QUANTUM ROBOTS; PERSONALITY; HUMANS; COMMUNICATION; EXPRESSIONS; PSYCHOLOGY; COGNITION; TAXONOMY; DESIGN;
D O I
10.1016/j.engappai.2021.104178
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Improving the interaction between artificial systems and their users is an important issue in artificial intelligence. In current trends in social robotics, this is accomplished by making such systems not just intelligent but also emotionally sensitive. Therefore, artificial emotional intelligence (AEI) is focused on simulating and extending natural emotion (especially human emotion) to provide robots with the capability to recognise and express emotions in human?robot interaction (HRI). In this treatise, we present an overview of the advances made in AEI by highlighting the progress recorded in the areas of emotion classification, emotional robots, and emotion space modelling in HRI. This review is aimed at providing readers with a succinct, yet adequate compendium of the progresses made in the emerging AEI sub-discipline. It is hoped this effort will stimulate further interest aimed at the pursuit of more advanced algorithms and models for available technologies and possible applications to other domains.
引用
收藏
页数:14
相关论文
共 141 条
[11]   Autonomous Cognitive Robots Need Emotional Modulations: Introducing the eMODUL Model [J].
Belkaid, Marwen ;
Cuperlier, Nicolas ;
Gaussier, Philippe .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 49 (01) :206-215
[12]   Quantum robots and environments [J].
Benioff, P .
PHYSICAL REVIEW A, 1998, 58 (02) :893-904
[13]  
Bera A., 2019, P IEEE CVF C COMP VI, P0
[14]   Quantum machine learning [J].
Biamonte, Jacob ;
Wittek, Peter ;
Pancotti, Nicola ;
Rebentrost, Patrick ;
Wiebe, Nathan ;
Lloyd, Seth .
NATURE, 2017, 549 (7671) :195-202
[15]   Domestic robots: Has their time finally come? [J].
Bogue, Robert .
INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL, 2017, 44 (02) :129-136
[16]  
Breazeal C., 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289), P858, DOI 10.1109/IROS.1999.812787
[17]   Effects of nonverbal communication on efficiency and robustness in human-robot teamwork [J].
Breazeal, C ;
Kidd, CD ;
Thomaz, AL ;
Hoffman, G ;
Berlin, M .
2005 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2005, :383-388
[18]   Emotion and sociable humanoid robots [J].
Breazeal, C .
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2003, 59 (1-2) :119-155
[19]  
Breazeal C, 1999, IJCAI-99: PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 & 2, P1146
[20]   Quantum cognition: a new theoretical approach to psychology [J].
Bruza, Peter D. ;
Wang, Zheng ;
Busemeyer, Jerome R. .
TRENDS IN COGNITIVE SCIENCES, 2015, 19 (07) :383-393