Hoffman Advances in Cross-Cultural Decision Making

Proceedings of the AHFE 2017 International Conference on Cross-Cultural Decision Making, July 17-21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA
1. Auflage 2018
ISBN: 978-3-319-60747-4
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 610, 265 Seiten

Reihe: Advances in Intelligent Systems and Computing

This book reports on the latest advances in understanding cross-cultural decision and human cognition  with respect to various cultural constructs, such as geographical, historical, sociological, and organizational cultures. It addresses researchers, scholars, and industry practitioners from diverse fields, including sociology, linguistics, business, military science, psychology, human factors research, neuroscience, and education. The book covers a wealth of topics, including: analyses of historical events and intercultural competence; commercial applications of social-cultural science; the study of decision-making similarities (and differences) across cultures; cultural behavioral modeling and simulation technology; and social networks and studies on group communication alike. It also reports on real-world case studies relevant to cross-cultural decision-making. The book's main goal is to combine studies from other relevant disciplines such as causal analysis in complex environments, team decision making and social changes to develop a more holistic understanding of the decisions that people, groups, and societies make, so as to improve our ability to forecast and plan for the future. Based on the AHFE 2017 International Conference on Cross-Cultural Decision Making (CCDM), held on July 17-21, 2017, in Los Angeles, California, USA, this book offers a multidisciplinary view on the impact of culture on people's cognition and behavior, and a timely reference guide to new applications and future challenges.

Autoren/Hrsg.

Hoffman, Mark

Inhaltsverzeichnis

1;Advances in Human Factors and Ergonomics 2017;6
2;Preface;8
3;Contents;10
4;Social Media and Social Change;13
5;A Cross-Cultural Comparison of the Accuracy of Personality Judgements Made Through Social Media;14
5.1;Abstract;14
5.2;1 Introduction;14
5.3;2 Method;16
5.3.1;2.1 Design and Participants;16
5.3.2;2.2 Procedure;16
5.4;3 Results;17
5.4.1;3.1 Self-other Agreement Between Each Groups of Raters;17
5.4.2;3.2 Judgment Differences Between UK, UK Asian and Malaysian Groups;18
5.4.3;3.3 Relationship of Profile Owners’ Personalities with Raters’ Own Personality;18
5.5;4 Discussion;20
5.6;Acknowledgements;22
5.7;References;22
6;Autochthonous Materials and Traditional Manufacturing Methods: Analysis Based on Cultural and Historical Features;24
6.1;Abstract;24
6.2;1 Introduction;24
6.3;2 Methodology and Methods;26
6.4;3 The Survey: Materials and Manufacturing Techniques and Local Recognition;26
6.5;4 Documental Analysis by Cultural and Historic Aspects;27
6.5.1;4.1 Golden Grass and Jalapão;27
6.5.2;4.2 Cork and Alentejo;28
6.6;5 Results;29
6.7;6 Final Considerations: Opportunities;32
6.8;Acknowledgments;32
6.9;References;32
7;Cross-Cultural Reactions to Crisis Events via Language and Emoticon Use;34
7.1;Abstract;34
7.2;1 Introduction;34
7.3;2 Data Collection and Method;35
7.4;3 Analysis of Data;36
7.5;4 Results and Discussion;37
7.5.1;4.1 Analysis of Lexical Variation;37
7.5.2;4.2 Analysis of Lexical Variation with Emoticons/Emojis;38
7.6;5 Summary and Future Work;39
7.7;References;39
8;Geo-Tagged Social Media Data as a Proxy for Urban Mobility;40
8.1;Abstract;40
8.2;1 Introduction;40
8.3;2 Datasets;41
8.3.1;2.1 Longitudinal Employer-Household Dynamics (LEHD);41
8.3.2;2.2 Twitter;41
8.3.3;2.3 Data Granularity;41
8.4;3 Properties of the Networks;42
8.4.1;3.1 Mobility Network Construction;42
8.4.2;3.2 Distribution of Attractiveness of Urban Locations;42
8.5;4 District Delineation;44
8.6;5 Gravity Model for Human Mobility;46
8.7;6 Temporal Dimension of Twitter Data;47
8.8;7 Discussion;48
8.9;8 Application;49
8.10;9 Conclusions;49
8.11;References;50
9;Cross-Cultural Design and Team Decision Making;52
10;Veterans in STEM: Supporting the Transition from Military Culture to the Culture of College;53
10.1;Abstract;53
10.2;1 Introduction;53
10.3;2 Background;54
10.3.1;2.1 Transition STEM;55
10.3.2;2.2 Veterans in STEM: Critical Analysis of the Factors Affecting Pathways to STEM Careers;56
10.3.3;2.3 Conclusion and Implications;61
10.3.4;2.4 Limitations;62
10.4;Acknowledgements;62
10.5;References;62
11;New Approach to Decision Making (DM) - Evaluation of DM by not Choice but Preference of Alternatives;64
11.1;Abstract;64
11.2;1 Introduction;64
11.3;2 Generalized Model of Decision Making;65
11.4;3 Method;66
11.5;4 Results;67
11.6;5 Discussion;70
11.6.1;5.1 Effects of (X, Y) on Preference to A;70
11.6.2;5.2 Effects of (PA, PB) on Preference to A;71
11.6.3;5.3 Multiple Effects of (X, Y) and (PA, PB) on Preference to A;71
11.6.4;5.4 General Discussion;72
11.7;6 Conclusions;72
11.8;References;72
12;Nationalism, Patriotism and Multinational Decision-Making Competence: Evidence from a Situation Judgment Test;74
12.1;Abstract;74
12.2;1 Introduction;74
12.2.1;1.1 Social Identity and Multinational Teaming;75
12.2.2;1.2 Individual Differences in Decision-Making Competence;76
12.2.3;1.3 Study Aims;77
12.3;2 Method;77
12.3.1;2.1 Participants;77
12.3.2;2.2 Materials;77
12.3.3;2.3 Procedure;78
12.4;3 Results;79
12.4.1;3.1 Demographic Factors;79
12.4.2;3.2 Social Identity;79
12.4.3;3.3 Decision-Making;79
12.4.4;3.4 Qualitative Analyses of Individual Differences;80
12.5;4 Discussion;82
12.6;5 Conclusion;84
12.7;Acknowledgments;84
12.8;References;84
13;Cultural and Social Determinants of Working Conditions in Europe;86
13.1;Abstract;86
13.2;1 Introduction;86
13.3;2 Hofstede’s National Dimensions of Culture;87
13.4;3 Selected Dimensions of the European Social Survey (2014);90
13.5;4 Selection of Dimensions from the European Working Conditions Survey (2015);92
13.6;5 Results of Analysis of Association;93
13.7;6 Discussion;95
13.8;7 Conclusion;96
13.9;Acknowledgements;97
13.10;References;97
14;Organization & Cultural Impact of Microservices Architecture;99
14.1;Abstract;99
14.2;1 Introduction;99
14.3;2 Structure;100
14.3.1;2.1 Conway’s Law;100
14.4;3 Size;101
14.4.1;3.1 Bezo’s Two Pizza Rule;101
14.5;4 Evolution;102
14.6;5 Conclusion;103
14.7;References;104
15;Causal Analysis in Complex Environments;106
16;Challenges in Making Policy Decision-Support Systems Operational;107
16.1;Abstract;107
16.2;1 Introduction;107
16.3;2 Simulation;110
16.4;3 Human Machine Interface (HMI);112
16.5;4 Data Requirements;114
16.6;5 Conclusion;114
16.7;References;115
17;Complex Causality: Computational Formalisms, Mental Models, and Objective Truth;116
17.1;Abstract;116
17.2;1 Introduction;116
17.3;2 Background;117
17.4;3 Complex Causality and Truth;119
17.5;4 Mental Models;120
17.6;5 Causal Modeling Formalisms;121
17.7;6 Conceptual Framework;123
17.8;7 Conclusions;125
17.9;References;125
18;Enabling Mixed Method Modeling Through the Use of Causal Networks;129
18.1;Abstract;129
18.2;1 Introduction;129
18.3;2 Background;130
18.4;3 Methodology;131
18.4.1;3.1 Dynamic Representation;132
18.4.2;3.2 Integration and Composition;133
18.4.3;3.3 Results Explanation;134
18.5;4 Results;136
18.6;5 Conclusions;138
18.7;References;138
19;Gray Zone Challenges;140
20;Examining How Perception of External Threat Influences the Popularity of Government Leaders;141
20.1;Abstract;141
20.2;1 Introduction;141
20.3;2 The Perception of Threat;142
20.3.1;2.1 Intragroup Affiliation;145
20.3.2;2.2 The Polarization of Groups;146
20.4;3 Assimilating Factors Affecting Leadership Popularity;147
20.5;4 Conclusions;149
20.6;Acknowledgements;149
20.7;References;149
21;A Fast Track Approach Towards Automatic Detection of Gray Zone Activities from Text;152
21.1;Abstract;152
21.2;1 Introduction;152
21.3;2 Background;153
21.4;3 Methodology;155
21.4.1;3.1 Assessing the Gray Zone Activities;156
21.4.2;3.2 Designing Event Filters;157
21.4.3;3.3 Analyzing Our Results;158
21.5;4 Results;159
21.6;References;160
22;Challenges and Opportunities in Gray Zone “Combat”;162
22.1;Abstract;162
22.2;1 Introduction;162
22.3;2 Conceptualization of Gray Zone Competition;164
22.4;3 Gray Zone Campaign Indicators and Warnings (Upper Right);165
22.5;4 US Gray Zone Planning and Execution (Lower Left);168
22.6;5 Adversary Gray Zone Campaign Interdiction (Lower Right);169
22.7;6 US Gray Zone Campaign Hardening (Upper Left);171
22.8;7 Conclusions;171
22.9;References;171
23;Intra-group Tension Under Inter-group Conflict: A Generative Model Using Group Social Norms and Identity;173
23.1;Abstract;173
23.2;1 Introduction;173
23.3;2 Model;174
23.3.1;2.1 Representing Group;175
23.3.2;2.2 Representing the Individual;176
23.3.3;2.3 Individuals Perform Actions on Behalf of a Group Towards Other Groups;176
23.3.4;2.4 Evolution and Exclusion from a Group;177
23.3.5;2.5 Evolution and Admission to a Group;178
23.3.6;2.6 Presentation of the Model;179
23.4;3 Scenarios;179
23.5;4 Results;180
23.5.1;4.1 Applying Tolerance but not Normativity Allows Extremist Groups to Dominate;180
23.5.2;4.2 Tolerance and Normativity Lead to Group Stability, and Suppress Dominance of the Extremist Group;181
23.5.3;4.3 Prohibiting Re-admission to Groups After Exclusion Marginally Affects Mainstream Groups More Than the Extremist Group;183
23.6;5 Conclusions;183
23.6.1;5.1 Future Work;184
23.7;Acknowledgements;184
23.8;References;184
24;Security Challenges in the 21st Century: The Changing Nature of Risk, Security and Sustainability;186
24.1;Abstract;186
24.2;1 Introduction;186
24.3;2 Intergroup and Interpersonal Conflict: Successes;187
24.4;3 Intergroup and Interpersonal Conflict: Emerging Threats;188
24.5;4 The Challenge and Opportunity of Economic Change;189
24.6;5 Threats to the Natural/Environmental Systems;193
24.7;6 Summary and Conclusions;194
24.8;Acknowledgements;195
24.9;References;195
25;Intelligent Systems and Applications;197
26;Incorporating the Cultural and Decisions Factors in Multi-objective Optimization of Air Conditioning Conduit Design Process;198
26.1;Abstract;198
26.2;1 Introduction;198
26.3;2 System Analysis;199
26.3.1;2.1 Coordination Variables;200
26.3.2;2.2 Decision Variables;200
26.4;3 Conceptual Mathematical Modelling of System;201
26.4.1;3.1 Decomposition of the Conduit Nets Design Task and Mathematical Modeling;201
26.4.2;3.2 Internal Analysis and the Cost Function;203
26.4.3;3.3 Estimation of Charge Losses in the Network and the Noise Function;204
26.5;4 Methodology for Optimal Multiple Objective Design and Optimization;204
26.6;5 Human Machine Interactions and the Design Process;205
26.7;6 Pattern Recognition and Decision Interactions;207
26.8;7 Description of the Modules;207
26.8.1;7.1 DPPIPE;207
26.8.2;7.2 CONDUIT;207
26.8.3;7.3 DPCORTE;208
26.9;8 Findings and Conclusions;208
26.10;References;209
27;The Necessity of New Paradigms in Measuring Human-Chatbot Interaction;210
27.1;Abstract;210
27.2;1 Introduction;210
27.3;2 Previous Research;211
27.4;3 Methodology;213
27.5;4 Hypotheses;214
27.6;5 Preliminary Results;214
27.7;6 Conclusion;218
27.8;7 Future Research;218
27.9;References;218
28;Understanding the Social and Economic Factors Affecting Adverse Events in an Active Theater of War: A Neural Network Approach;220
28.1;Abstract;220
28.2;1 Introduction;220
28.3;2 Methodology;221
28.3.1;2.1 The Dataset;221
28.3.2;2.2 Evaluation Criterion;222
28.4;3 Results and Discussion;223
28.4.1;3.1 Descriptive Statistics;223
28.4.2;3.2 ANN Model Development;224
28.4.3;3.3 MLR Model Development;225
28.4.4;3.4 Performance Comparison of ANN and MLR Models;226
28.5;4 Conclusion;227
28.6;Acknowledgments;227
28.7;References;227
29;Human-Machine Interactions and Tools;229
30;Designing Culturally Appropriate Responses to Culturally Influenced Computer Usage Behaviors;230
30.1;Abstract;230
30.2;1 Introduction;230
30.3;2 Culture and HCI;231
30.4;3 Jordanian Users’ Experiences with Computer Usage;232
30.5;4 Jordanian Usage Experiences and Some Proposed Responses;233
30.6;5 Conclusions;237
30.7;References;237
31;Comparative Study of Design by Culture Reference: Design Examples;239
31.1;Abstract;239
31.2;1 Introduction;239
31.2.1;1.1 Background;239
31.2.2;1.2 Purpose;240
31.2.3;1.3 Definition of Product Design Terminology;240
31.3;2 Method;242
31.4;3 Process;242
31.4.1;3.1 Case Choosing and Reasons;242
31.4.2;3.2 Case Choosing and Reasons;242
31.4.3;3.3 Research Questions;247
31.5;4 Research Result;248
31.5.1;4.1 Research Results of Design Process, Design Approach and Component Design of Culture Reference Design;248
31.5.2;4.2 Hypothesis of Culture Reference Design Methodology;249
31.6;5 Discussion;249
31.6.1;5.1 The Reason of Different Culture Reference Design Process and Traditional Design Process;249
31.6.2;5.2 The Criteria of Approach Choice of Culture Reference Design;250
31.6.3;5.3 The Feasibility and Scientific Approach of the Hypothesis of Culture Referenced Methodology;250
31.7;6 Conclusion;250
31.8;References;250
32;Analyzing Various Functions of Prefrontal Cortex (PFC) in Decision Making via Brain Imaging Techniques;252
32.1;Abstract;252
32.2;1 Introduction;253
32.3;2 Brain Tissues and Near-Infrared (NIR) Light Propagation;254
32.4;3 Blood Oxygenation Level-Dependent (BOLD) and Optical Tomographic Spectroscopic Signals;255
32.5;4 Regions of Prefrontal Cortex (PFC) and Decisions Making Process;256
32.5.1;4.1 Emotional and Decision Processing Medial and Ventromedial Prefrontal Cortex;258
32.5.2;4.2 Dorsolateral Prefrontal Cortex (DLPFC) and Neuro Cognitive Processing;259
32.6;5 Findings and Discussion;260
32.7;6 Conclusion;262
32.8;References;262
33;Author Index;264