Recommender Interfaces: The More Human-Like, the More Humans Like

被引：27

作者：

Staffa, Mariacarla ^{[1
]}

Rossi, Silvia ^{[2
]}

机构：

[1] Univ Naples Parthenope, Dept Engn, Naples, Italy

[2] Univ Naples Federico II, Dept Elect Engn & Informat Technol, Naples, Italy

来源：

SOCIAL ROBOTICS, (ICSR 2016) | 2016年 / 9979卷

关键词：

TRUST;

D O I：

10.1007/978-3-319-47437-3_20

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Social robots, when used for information providing, are able to affect humans' trustworthiness and willingness to interact with them. In this work, we conducted an experimental study aimed at observing if the users' acceptance of recommendations, as well as their engagement in the interaction, is elicited when using a humanoid robot with respect to a common application on a mobile phone. We conducted an experimental study on movie recommendation where the two interfaces provide the same contents, but through different communication channels. In detail, the robot will attend to the participants in a socially contingent fashion, signaled via head and gaze orientation, speech, eye color and gestures related to the genre of the recommended movie, and the app will provide textual and graphical movie presentation. Results show that while the users perceive the interaction with the mobile application more natural, the social robot is able to enhance the users' satisfaction and provides a good and stable acceptance rate also when facing participants with various degrees of English proficiency.

引用

页码：200 / 210

页数：11

共 18 条

[1] The Impact of Social Robotics on L2 Learners' Anxiety and Attitude in English Vocabulary Acquisition [J].

Alemi, M. ;

Meghdari, A. ;

Ghazisaedy, M. .

INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2015, 7 (04) :523-535

[2]

Bainbridge WA, 2008, 2008 17TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2, P701, DOI 10.1109/ROMAN.2008.4600749

[3]

Boone RT, 2003, J NONVERBAL BEHAV

[4]

Bruce A, 2002, 2002 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS, P4138, DOI 10.1109/ROBOT.2002.1014396

[5]

Caccavale R, 2014, IEEE ROMAN, P844, DOI 10.1109/ROMAN.2014.6926358

[6]

Cervone F., 2015, WOA, P32

[7]

Crumpton J, 2015, PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COLLABORATION TECHNOLOGIES AND SYSTEMS, P39, DOI 10.1109/CTS.2015.7210396

[8]

de Melo CM, 2009, P 9 INT C INT VIRT A

[9]

Kidd C. D., 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), P3559

[10] Recommender systems: from algorithms to user experience [J].

Konstan, Joseph A. ;

Riedl, John .

USER MODELING AND USER-ADAPTED INTERACTION, 2012, 22 (1-2) :101-123

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