TY - GEN
T1 - The Influence of Automation and Culture on Human Cooperation
AU - Zhi, Xuezun
AU - Zhou, Ronggang
N1 - Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.
PY - 2022
Y1 - 2022
N2 - In recent years, intelligent machines which can act on our behalf, such as autonomous vehicles, are in increasing numbers. They follow preset procedures and make decisions for people when certain conditions are reached. These machines improve the efficiency of our daily life as well as bring us a new paradigm of interaction with other people. Setting the program for the machine in advance enables us to make an early decision and provides us with a chance to think more comprehensively from a macro perspective. In this case, how the change of this decision-making paradigm will affect our cooperative behavior with others is the main research question of this study. This article proved that the cooperation rate of participants interacting with others by programming the autonomous vehicle in advance was higher than the direct interaction cooperation rate. A conclusion can be drawn through the experiment that when the system can automatically make decisions and participants can modify the decisions, the higher the initial cooperation rate of the system was, the higher the final cooperation rate of the participants would be. From this, it can be preliminarily concluded that the automation system can guide people to choose cooperation more. In addition, compared with the results of similar studies abroad, it can be found that people’s cooperative behavior is different due to different cultural backgrounds. Chinese culture advocates the doctrine of the mean, and the participants’ choices of cooperation or betrayal are more balanced. In contrast, western culture is more rational and extreme, in which a large part of the participants chooses to cooperate completely or betray completely.
AB - In recent years, intelligent machines which can act on our behalf, such as autonomous vehicles, are in increasing numbers. They follow preset procedures and make decisions for people when certain conditions are reached. These machines improve the efficiency of our daily life as well as bring us a new paradigm of interaction with other people. Setting the program for the machine in advance enables us to make an early decision and provides us with a chance to think more comprehensively from a macro perspective. In this case, how the change of this decision-making paradigm will affect our cooperative behavior with others is the main research question of this study. This article proved that the cooperation rate of participants interacting with others by programming the autonomous vehicle in advance was higher than the direct interaction cooperation rate. A conclusion can be drawn through the experiment that when the system can automatically make decisions and participants can modify the decisions, the higher the initial cooperation rate of the system was, the higher the final cooperation rate of the participants would be. From this, it can be preliminarily concluded that the automation system can guide people to choose cooperation more. In addition, compared with the results of similar studies abroad, it can be found that people’s cooperative behavior is different due to different cultural backgrounds. Chinese culture advocates the doctrine of the mean, and the participants’ choices of cooperation or betrayal are more balanced. In contrast, western culture is more rational and extreme, in which a large part of the participants chooses to cooperate completely or betray completely.
KW - Autonomous vehicles
KW - Cooperation
KW - Intelligent interaction
KW - Social dilemmas
UR - https://www.scopus.com/pages/publications/85128725198
U2 - 10.1007/978-3-031-02904-2_6
DO - 10.1007/978-3-031-02904-2_6
M3 - 会议稿件
AN - SCOPUS:85128725198
SN - 9783031029035
T3 - IFIP Advances in Information and Communication Technology
SP - 123
EP - 140
BT - Human Work Interaction Design. Artificial Intelligence and Designing for a Positive Work Experience in a Low Desire Society - 6th IFIP WG 13.6 Working Conference, HWID 2021, Revised Selected Papers
A2 - Bhutkar, Ganesh
A2 - Barricelli, Barbara R.
A2 - Xiangang, Qin
A2 - Clemmensen, Torkil
A2 - Gonçalves, Frederica
A2 - Abdelnour-Nocera, José
A2 - Lopes, Arminda
A2 - Lyu, Fei
A2 - Zhou, Ronggang
A2 - Hou, Wenjun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th IFIP WG 13.6 Working Conference on Human Work Interaction Design, HWID 2021
Y2 - 15 May 2021 through 16 May 2021
ER -