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The Influence of Automation and Culture on Human Cooperation

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationHuman 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
EditorsGanesh Bhutkar, Barbara R. Barricelli, Qin Xiangang, Torkil Clemmensen, Frederica Gonçalves, José Abdelnour-Nocera, Arminda Lopes, Fei Lyu, Ronggang Zhou, Wenjun Hou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages123-140
Number of pages18
ISBN (Print)9783031029035
DOIs
StatePublished - 2022
Event6th IFIP WG 13.6 Working Conference on Human Work Interaction Design, HWID 2021 - Virtual, Online
Duration: 15 May 202116 May 2021

Publication series

NameIFIP Advances in Information and Communication Technology
Volume609 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference6th IFIP WG 13.6 Working Conference on Human Work Interaction Design, HWID 2021
CityVirtual, Online
Period15/05/2116/05/21

Keywords

  • Autonomous vehicles
  • Cooperation
  • Intelligent interaction
  • Social dilemmas

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