The future of service: The power of emotion in human-robot interaction

被引:114
|
作者
Chuah, Stephanie Hui-Wen [1 ,2 ]
Yu, Joanne [3 ]
机构
[1] Asia Univ, Inst Innovat & Circular Econ, 500 Liufeng Rd, Taichung 413, Taiwan
[2] Asia Univ, Dept Business Adm, 500 Liufeng Rd, Taichung 413, Taiwan
[3] Salzburg Univ Appl Sci, Dept Innovat & Management Tourism, Urstein Sud 1, A-5412 Salzburg, Austria
关键词
Human-robot interaction; Emotional contagion; Machine learning; Sentiment; Facial recognition; Consumer experience; Service robot; SENTIMENT ANALYSIS; SMILE; CONTAGION; VALENCE; MIND;
D O I
10.1016/j.jretconser.2021.102551
中图分类号
F [经济];
学科分类号
02 ;
摘要
Astoundingly, recent technological advancements have enabled robots to display emotions. Yet, while emotional expression is valued in the field of service, understanding emotions in human-robot interaction remains underexplored. Since emotions are contagious/transmittable, this study utilised Instagram data to uncover how emotional robots influence potential consumers' affective feelings. By employing machine learning algorithms and sentiment analysis, the findings suggest that the expressions of surprise and happiness are key to creating positive impacts on potential consumers. The cross-disciplinary nature of this study lays the groundwork for nextlevel social, design, and creative experiences in artificial intelligence research regarding consumer service and experience contexts.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Emotion Recognition From Speech to Improve Human-robot Interaction
    Zhu, Changrui
    Ahamd, Wasim
    [J]. IEEE 17TH INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP / IEEE 17TH INT CONF ON PERVAS INTELLIGENCE AND COMP / IEEE 5TH INT CONF ON CLOUD AND BIG DATA COMP / IEEE 4TH CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH), 2019, : 370 - 375
  • [22] A Multimodal Emotion Detection System during Human-Robot Interaction
    Alonso-Martin, Fernando
    Malfaz, Maria
    Sequeira, Joao
    Gorostiza, Javier F.
    Salichs, Miguel A.
    [J]. SENSORS, 2013, 13 (11) : 15549 - 15581
  • [23] Human-Robot Interaction Based on Gestures for Service Robots
    de Sousa, Patrick
    Esteves, Tiago
    Campos, Daniel
    Duarte, Fabio
    Santos, Joana
    Leao, Joao
    Xavier, Jose
    de Matos, Luis
    Camarneiro, Manuel
    Penas, Marcelo
    Miranda, Maria
    Silva, Ricardo
    Neves, Antonio J. R.
    Teixeira, Luis
    [J]. VIPIMAGE 2017, 2018, 27 : 700 - 709
  • [24] Human-Robot Interaction and Future Industrial Robotics Applications
    Heyer, Clint
    [J]. IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 4749 - 4754
  • [25] A Network Science Approach to Future Human-Robot Interaction
    Schaefer, Kristin E.
    Cassenti, Daniel N.
    [J]. 2015 IEEE INTERNATIONAL MULTI-DISCIPLINARY CONFERENCE ON COGNITIVE METHODS IN SITUATION AWARENESS AND DECISION SUPPORT (COGSIMA), 2015, : 132 - 136
  • [26] Social informatics approach to human-robot interaction with a service social robot
    Lisetti, CL
    Brown, SM
    Alvarez, K
    Marpaung, AH
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2004, 34 (02): : 195 - 209
  • [27] The Power to Persuade: a study of Social Power in Human-Robot Interaction
    Hashemian, Mojgan
    Paiva, Ana
    Mascarenhas, Samuel
    Santos, Pedro A.
    Prada, Rui
    [J]. 2019 28TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN), 2019,
  • [28] Human-Robot Interaction
    Jia, Yunyi
    Zhang, Biao
    Li, Miao
    King, Brady
    Meghdari, Ali
    [J]. JOURNAL OF ROBOTICS, 2018, 2018
  • [29] Human-Robot Interaction
    Sethumadhavan, Arathi
    [J]. ERGONOMICS IN DESIGN, 2012, 20 (03) : 27 - +
  • [30] Human-Robot Interaction
    Sidobre, Daniel
    Broquere, Xavier
    Mainprice, Jim
    Burattini, Ernesto
    Finzi, Alberto
    Rossi, Silvia
    Staffa, Mariacarla
    [J]. ADVANCED BIMANUAL MANIPULATION: RESULTS FROM THE DEXMART PROJECT, 2012, 80 : 123 - +