Advances in Culturally-Aware Intelligent Systems and in Cross-Cultural Psychological Studies

  • Colette Faucher

Part of the Intelligent Systems Reference Library book series (ISRL, volume 134)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Colette Faucher
    Pages 1-7
  3. Culturally-Aware Intelligent Systems

  4. Cultural Neuroscience

    1. Front Matter
      Pages 263-263
    2. R. Thora Bjornsdottir, Nicholas O. Rule
      Pages 265-282
  5. Cross-Cultural Psychology

    1. Front Matter
      Pages 311-311
    2. Bilyana Martinovski
      Pages 335-350
    3. C. Dominik Güss, Elizabeth Teta
      Pages 351-365
    4. Lionel Rodrigues, Jérôme Blondé, Fabien Girandola
      Pages 391-413
    5. Dana M. Basnight-Brown, Jeanette Altarriba
      Pages 415-432
    6. Arthur B. Markman
      Pages 433-447

About this book


This book offers valuable new insights into the design of culturally-aware systems. In its first part, it is devoted to presenting selected Culturally-Aware Intelligent Systems devised in the field of Artificial Intelligence and its second part consists of two sub-parts that offer a source of inspiration for building modelizations of Culture and of its influence on the human mind and behavior, to be used in new Culturally-Aware Intelligent Systems. Those sub-parts present the results of experiments conducted in two fields that study Culture and its influence on the human mind’s functions: Cultural Neuroscience and Cross-Cultural Psychology. 

In this era of globalization, people from different countries and cultures have the opportunity to interact directly or indirectly in a wide variety of contexts. Despite differences in their ways of thinking and reasoning, their behaviors, their values, lifestyles, customs and habits, languages, religions – in a word, their cultures – they must be able to collaborate on projects, to understand each other’s views, to communicate in such a way that they don’t offend each other, to anticipate the effects of their actions on others, and so on. As such, it is of primary importance to understand how culture affects people’s mental activities, such as perception, interpretation, reasoning, emotion and behavior, in order to anticipate possible misunderstandings due to differences in handling the same situation, and to try and resolve them.

Artificial Intelligence, and more specifically, the field of Intelligent Systems design, aims at building systems that mimic the behavior of human beings in order to complete tasks more efficiently than humans could by themselves. Consequently, in the last decade, experts and scholars in the field of Intelligent Systems have been increasingly tackling the notion of cultural awareness. A Culturally-Aware Intelligent System can be defined as a system where Culture-related or, more generally, socio-cultural information is modeled and used to design the human-machine interface, or to provide support with the task carried out by the system, be it reasoning, simulation or any other task involving cultural knowledge.


Cross-Cultural Decision-Making Cultural Behavior Culturally-Aware Educational Systems Culture Modelling Culture-Aware Intelligent Tutoring Systems Intelligent Systems

Editors and affiliations

  • Colette Faucher
    • 1
  1. 1.LIP6 (Laboratoire d’Informatique de Paris 6)UPMC (Université Pierre et Marie Curie)ParisFrance

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-67022-5
  • Online ISBN 978-3-319-67024-9
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site
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