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001 978-3-319-67024-9
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005 20220801221455.0
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008 171103s2018 sz | s |||| 0|eng d
020 _a9783319670249
_9978-3-319-67024-9
024 7 _a10.1007/978-3-319-67024-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAdvances in Culturally-Aware Intelligent Systems and in Cross-Cultural Psychological Studies
_h[electronic resource] /
_cedited by Colette Faucher.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXVIII, 459 p. 68 illus., 49 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v134
505 0 _aIntroduction.- Culturally-Aware HCI Systems.- Building Time-Affordable Cultural Ontologies using an Emic Approach .- Teaching an Australian Aboriginal Knowledge.- Culturally-Aware Healthcare Systems.- Combining a Data-driven and a Theory-based Approaches to Generate Culture dependent Behaviours for Virtual Characters -- Mental Activity and Culture: The Elusive Real World -- Affective Body Movements (for Robots) Across Cultures -- Modeling Cultural and Personality Biases in Decision-Making -- Modeling Cultural and Personality Biases in Decision-Making.
520 _aThis 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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aFaucher, Colette.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956230
710 2 _aSpringerLink (Online service)
_956231
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319670225
776 0 8 _iPrinted edition:
_z9783319670232
776 0 8 _iPrinted edition:
_z9783319883656
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v134
_956232
856 4 0 _uhttps://doi.org/10.1007/978-3-319-67024-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79708
_d79708