Modeling Dominance Effects on Nonverbal Behaviors Using Granger Causality

被引:0
|
作者
Kalimeri, Kyriaki [1 ]
Lepri, Bruno [1 ]
Aran, Oya [1 ]
Jayagopi, Dinesh Babu [1 ]
Gatica-Perez, Daniel [1 ]
Pianesi, Fabio [1 ]
机构
[1] Univ Trento, CIMEC, Bruno Kessler Fdn, Trento, Italy
来源
ICMI '12: PROCEEDINGS OF THE ACM INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION | 2012年
关键词
Social and Group Interaction; Multimodal Fusion and Integration; Granger Causality; TIME;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we modeled the effects that dominant people might induce on the nonverbal behavior (speech energy and body motion) of the other meeting participants using Granger causality technique. Our initial hypothesis that more dominant people have generalized higher influence was not validated when using the DOME-AMI corpus as data source. However, from the correlational analysis some interesting patterns emerged: contradicting our initial hypothesis dominant individuals are not accounting for the majority of the causal flow in a social interaction. Moreover, they seem to have more intense causal effects as their causal density was significantly higher. Finally dominant individuals tend to respond to the causal effects more often with complementarity than with mimicry.
引用
收藏
页码:23 / 26
页数:4
相关论文
共 50 条
  • [31] Analysis of regional climate variables by using neural Granger causality
    Shuo Shan
    Yiye Wang
    Xiangying Xie
    Tao Fan
    Yushun Xiao
    Kanjian Zhang
    Haikun Wei
    Neural Computing and Applications, 2023, 35 : 16381 - 16402
  • [32] Learning Wireless Networks' Topologies Using Asymmetric Granger Causality
    Laghate, Mihir
    Cabric, Danijela
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2018, 12 (01) : 233 - 247
  • [33] Analysis of regional climate variables by using neural Granger causality
    Shan, Shuo
    Wang, Yiye
    Xie, Xiangying
    Fan, Tao
    Xiao, Yushun
    Zhang, Kanjian
    Wei, Haikun
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (22): : 16381 - 16402
  • [34] Single trial classification of magnetoencephalographic recordings using Granger causality
    Kostelecki, Wojciech
    Dominguez, Luis Garcia
    Velazquez, Jose Luis Perez
    JOURNAL OF NEUROSCIENCE METHODS, 2011, 199 (02) : 183 - 191
  • [35] Forecasting macroeconomy using Granger-causality network connectedness
    Wang, Dan
    Huang, Wei-Qiang
    APPLIED ECONOMICS LETTERS, 2021, 28 (16) : 1363 - 1370
  • [36] ON THE SPECIFICATION OF GRANGER-CAUSALITY TESTS USING THE COINTEGRATION METHODOLOGY
    MACDONALD, R
    KEARNEY, C
    ECONOMICS LETTERS, 1987, 25 (02) : 149 - 153
  • [37] What Does Granger Causality Prove? A Critical Examination of the Interpretation of Granger Causality Results on Price Effects of Index Trading in Agricultural Commodity Markets
    Grosche, Stephanie-Carolin
    JOURNAL OF AGRICULTURAL ECONOMICS, 2014, 65 (02) : 279 - 302
  • [38] THE WEALTH EFFECT AND TOURISM - ARDL MODELING AND GRANGER CAUSALITY IN SELECTED EU COUNTRIES
    Sergo, Zdravko
    TOURISM AND HOSPITALITY MANAGEMENT-CROATIA, 2020, 26 (01): : 195 - 212
  • [39] Causality Analysis for Public and Private Expenditures on Health Using Panel Granger-Causality Test
    Lee, Su-Dong
    Lee, Junghye
    Jun, Chi-Hyuck
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2015, 14 (01): : 104 - 110
  • [40] Dynamic Granger-Geweke Causality Modeling With Application to Interictal Spike Propagation
    Lin, Fa-Hsuan
    Hara, Keiko
    Solo, Victor
    Vangel, Mark
    Belliveau, John W.
    Stufflebeam, Steven M.
    Hamalainen, Matti S.
    HUMAN BRAIN MAPPING, 2009, 30 (06) : 1877 - 1886