國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Culturally-Aware Intelligent Systems and in Cross-Cultural Psychological Studies/ edited by Colette Faucher.
其他作者:	Faucher, Colette.
面頁冊數:	XXVIII, 459 p. 68 illus., 49 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-67024-9
ISBN:	9783319670249

Advances in Culturally-Aware Intelligent Systems and in Cross-Cultural Psychological Studies
Advances in Culturally-Aware Intelligent Systems and in Cross-Cultural Psychological Studies[electronic resource] /edited by Colette Faucher. - 1st ed. 2018. - XXVIII, 459 p. 68 illus., 49 illus. in color.online resource. - Intelligent Systems Reference Library,1341868-4394 ;. - Intelligent Systems Reference Library,67.

Introduction.- 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.

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.

ISBN: 9783319670249

Standard No.: 10.1007/978-3-319-67024-9doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in Culturally-Aware Intelligent Systems and in Cross-Cultural Psychological Studies
LDR:04237nam a22004095i 4500 001 998204
003 DE-He213
005 20200703113012.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319670249 $9 978-3-319-67024-9
024 7 $a 10.1007/978-3-319-67024-9 $2 doi
035 $a 978-3-319-67024-9
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Advances in Culturally-Aware Intelligent Systems and in Cross-Cultural Psychological Studies $h [electronic resource] / $c edited by Colette Faucher.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XXVIII, 459 p. 68 illus., 49 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Intelligent Systems Reference Library, $x 1868-4394 ; $v 134
505 0 $a Introduction.- 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 $a 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.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Faucher, Colette. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1022148
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319670225
776 0 8 $i Printed edition: $z 9783319670232
776 0 8 $i Printed edition: $z 9783319883656
830 0 $a Intelligent Systems Reference Library, $x 1868-4394 ; $v 67 $3 1253823
856 4 0 $u https://doi.org/10.1007/978-3-319-67024-9
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)