07501nam 22007095 450 99641831180331620200705132443.03-030-50523-510.1007/978-3-030-50523-3(CKB)4100000011343416(DE-He213)978-3-030-50523-3(MiAaPQ)EBC6273253(PPN)254832350(EXLCZ)99410000001134341620200613d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierHCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design[electronic resource] Second International Conference, MobiTAS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I /edited by Heidi Krömker1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XXIII, 455 p. 169 illus., 123 illus. in color.) Information Systems and Applications, incl. Internet/Web, and HCI ;122123-030-50522-7 UX Topics in Automated Driving -- Shut Up and Drive? User Requirements for Communication Services in Autonomous Driving -- Towards User-Focused Vehicle Automation: the Architectural Approach of the AutoAkzept Project -- In the Passenger Seat: Differences in the Perception of Human vs. Automated Vehicle Control and Resulting HMI Demands of Users -- Ambivalence in Stakeholders’ Views on Connected and Autonomous Vehicles -- User Perception and the Effect of Forms and Movements in Human-Machine Interaction Applying Steer-by-Wire for Autonomous Vehicles -- Human-Systems Integration for Driving Automation Systems: Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility Needs -- Affective Use Cases for Empathic Vehicles in Highly Automated Driving: Results of an Expert Workshop -- A Pilot Study on the Dynamics of Online Risk Assessment by the Passenger of a Self-Driving Car among Pedestrians -- Fluid Interface Concept for Automated Driving -- Human Factor Considerations on Timing of Driver Taking Over in Automated Driving Systems: A Literature Review -- Gender Differences in Simulation Sickness in Static vs. Moving Platform VR Automated Driving Simulation -- Measures for Well-being in Highly Automated Vehicles: The Effect of Prior Experience -- A Filed Study of External HMI for Autonomous Vehicles When Interacting with Pedestrians -- Designing In-Vehicle Experiences -- Evaluating HMI-Development Approaches from an Automotive Perspective -- Smart and Seamless: Investigating User Needs and Recognition for Smartphone-Automobile Interactive Features -- The More You Know, the More You Can Trust: Drivers’ Understanding of the Advanced Driver Assistance System -- An Introduction to a Psychoanalytic Framework for Passengers’ Experience in Autonomous Vehicles -- Weaving Social Networks from Smart Card Data: An On-Journey-Accompanying Approach -- Effective Alerts for Autonomous Solutions to Aid Drivers Experiencing Medical Anomalies -- Complexity in In-vehicle Touchscreen Interaction: A Literature Review and Conceptual Framework -- The Effects of Collision Avoidance Warning Systems on Driver’s Visual Behaviors -- Acceptance and Diffusion of Services based on Secure Elements in Smartphones - Study Design and First Results of the Pretests -- Ontology for Mobility of People with Intellectual Disability: Building a basis of Definitions for the Development of Navigation aid Systems -- The Effect of Multiple Visual Variables on Size Perception in Geographic Information Visualization -- Research on Innovative Vehicle Human-Machine Interaction System and Interface Level Design -- Age-related Differences in the Interaction with Advanced Driver Assistance Systems - A Field Study -- Using Augmented Reality to Mitigate Blind Spots in Trucks -- Range InSight - Visualizing Range-Related Information in Battery Electric Buses -- Investigating the Benefits of Haptic Feedback during In-Car Interactions in Virtual Reality -- A fluid-HMI approach for Haptic Steering Shared Control for the HADRIAN Project -- BLOKCAR: a Children Entertainment System to Enrich and Enhance Family Car Travel Experience -- Influence of Position and Interface for Central Control Screen on Driving Performance of Electric Vehicle.This two-volume set LNCS 12212 and 12213 constitutes the refereed proceedings of the Second International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in Copenhagen, Denmark, in July, 2020.* A total of 1439 full papers and 238 posters have been carefully reviewed and accepted for publication in HCII 2020. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. MobiTAS 2020 includes a total of 59 papers and they are organized in the following topical sections: Part I, Automated Driving and In-Vehicle Experience Design: UX topics in automated driving, and designing in-vehicle experiences. Part II, Driving Behavior, Urban and Smart Mobility: studies on driving behavior, and urban and smart mobility. *The conference was held virtually due to the COVID-19 pandemic.Information Systems and Applications, incl. Internet/Web, and HCI ;12212User interfaces (Computer systems)E-commerceApplication softwareComputer communication systemsRoboticsOptical data processingUser Interfaces and Human Computer Interactionhttps://scigraph.springernature.com/ontologies/product-market-codes/I18067e-Commerce/e-businesshttps://scigraph.springernature.com/ontologies/product-market-codes/I26000Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Roboticshttps://scigraph.springernature.com/ontologies/product-market-codes/I21050Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021User interfaces (Computer systems).E-commerce.Application software.Computer communication systems.Robotics.Optical data processing.User Interfaces and Human Computer Interaction.e-Commerce/e-business.Information Systems Applications (incl. Internet).Computer Communication Networks.Robotics.Image Processing and Computer Vision.629.046Krömker Heidiedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996418311803316HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design2201492UNISA08201nam 22006975 450 991095735880332120250813214906.01-4612-0921-810.1007/978-1-4612-0921-8(CKB)3400000000089322(SSID)ssj0001295892(PQKBManifestationID)11777922(PQKBTitleCode)TC0001295892(PQKBWorkID)11348362(PQKB)11630470(DE-He213)978-1-4612-0921-8(MiAaPQ)EBC3074088(PPN)237993236(EXLCZ)99340000000008932220121227d1992 u| 0engurnn|008mamaatxtccrApplied Multivariate Data Analysis Volume II: Categorical and Multivariate Methods /by J.D. Jobson1st ed. 1992.New York, NY :Springer New York :Imprint: Springer,1992.1 online resource (XXIX, 732 p.) Springer Texts in Statistics,2197-4136Includes index.0-387-97804-6 1-4612-6947-4 6 Contingency Tables -- 6.1 Multivariate Data Analysis Data Matrices and Measurement Scales -- 6.2 Two-Dimensional Contingency Tables -- 6.3 Multidimensional Contingency Tables -- 6.4 The Weighted Least Squares Approach -- Cited Literature and References -- Exercises for Chapter 6 -- Questions for Chapter 6 -- 7 Multivariate Distributions Inference Regression and Canonical Correlation -- 7.1 Multivariate Random Variables and Samples -- 7.2 The Multivariate Normal Distribution -- 7.3 Testing for Normality Outliers and Robust Estimation -- 7.4 Inference for the Multivariate Normal -- 7.5 Multivariate Regression and Canonical Correlation -- Cited Literature and References -- Exercises for Chapter 7 -- Questions for Chapter 7 -- 8 Manova Discriminant Analysis and Qualitative Response Models -- 8.1 Multivariate Analysis of Variance -- 8.2 Discriminant Analysis -- 8.3 Qualitative Response Regression Models and Logistic Regression -- 9 Principal Components Factors and Correspondence Analysis -- 9.1 Principal Components -- 9.2 The Exploratory Factor Analysis Model -- 9.3 Singular Value Decomposition and Matrix Approximation -- 9.4 Correspondence Analysis -- Cited Literature and References -- Exercises for Chapter 9 -- Questions for Chapter 9 -- 10 Cluster Analysis and Multidimensional Scaling -- 10.1 Proximity Matrices Derived from Data Matrices -- 10.2 Cluster Analysis -- 10.3 Multidimensional Scaling -- Cited Literature and References -- Exercises for Chapter 10 -- Questions for Chapter 10 -- 1. Matrix Algebra -- 1.1 Matrices -- Matrix -- Transpose of a Matrix -- Row Vector and Column Vector -- Square Matrix -- Symmetric Matrix -- Diagonal Elements -- Trace of a Matrix -- Null or Zero Matrix -- Identity Matrix -- Diagonal Matrix -- Submatrix -- 1.2 Matrix Operations -- Equality of Matrices -- Addition of Matrices -- Additive Inverse -- Scalar Multiplication of a Matrix -- Product of Two Matrices -- Multiplicative Inverse -- Idempotent Matrix -- Kronecker Product -- 1.3 Determinants and Rank -- Determinant -- Nonsingular -- Relation Between Inverse -- and Determinant -- Rank of a Matrix -- 1.4 Quadratic Forms and Positive Definite Matrices -- Quadratic Form -- Congruent Matrix -- Positive Definite -- Positive Semidefinite -- Negative Definite -- Non-negative Definite -- 1.5 Partitioned Matrices -- Product of Partitioned Matrices -- Inverse of a Parti-tioned Matrix -- Determinant of a Partitioned Matrix -- 1.6 Expectations of Random Matrices -- 1.7 Derivatives of Matrix Expressions -- 2. Linear Algebra -- 2.1 Geometric Representation for Vectors -- n Dimensional Space -- Directed Line Segment -- Coordinates -- Addition of Vectors -- Scalar Multiplication -- Length of a Vector -- Angle Between Vectors -- Orthogonal Vectors -- Projection -- 2.2 Linear Dependence And Linear Transformations -- Linearly Dependent Vectors -- Linearly Independent Vectors -- Basis for an n-Dimensional Space -- Generation of a Vector Space and Rank of a Matrix -- Linear Transformation -- Orthogonal Transformation -- Rotation -- Orthogonal Matri -- 2.3 Systems of Equations -- Solution Vector for a System of Equations -- Homoge-neous Equations — Trivial and Nontrivial Solutions -- 2.4 Column Spaces -- Projection Operators and Least -- Squares -- Column Space -- Orthogonal Complement -- Projection -- Ordinary Least Squares Solution Vector -- Idempotent Matrix — Projection Operator -- 3. Eigenvalue Structure and Singular Value Decomposition -- 3.1 Eigenvalue Structure for Square Matrices -- Eigenvalues and Eigenvectors -- Characteristic Polynomial -- Characteristic Roots -- Latent Roots -- Eigen-values -- Eigenvalues and Eignevectors for Real Symmetric Matrices and SomeProperties -- Spectral Decomposition -- Matrix Approximation -- Eigenvalues for Nonnegative Definite Matrices -- 3.2 Singular Value Decomposition -- Left and Right Singular Vectors -- Complete Singular Value Decomposition -- Generalized Singular Value Decomposition -- Relationship to Spectral Decomposition and Eigenvalues -- Data Appendix For Volume II -- Data Set V1 -- Data Set V2 -- Data Set V3 -- Data Set V4 -- Data Set V5 -- Data Set V6 -- Data Set V7 -- Data Set V8 -- Data Set V9 -- Data Set V10 -- Data Set Vll -- Data Set V12 -- Data Set V13 -- Data Set V14 -- Data Set V15 -- Data Set V16 -- Data Set V17 -- Data Set V18 -- Data Set V19 -- Data Set V20 -- Data Set V21 -- Data Set V22 -- Table V1 -- Table V2 -- Table V3 -- Table V4 -- Table V5 -- Table V6 -- Table V7 -- Table V8 -- Table V9 -- Table V10 -- Table V11 -- Table V12 -- Table V13 -- Table V14 -- Table V15 -- Table V16 -- Table V17 -- Table V18 -- Table V19 -- Table V20 -- Table V21 -- Table V22 -- Author Index.A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the availability of both computers and statistical software. Business and government professionals, as well as academic researchers, are now regularly employing techniques that go far beyond the standard two-semester, introductory course in statistics. Even though for this group of users shorl courses in various specialized topics are often available, there is a need to improve the statistics training of future users of statistics while they are still at colleges and universities. In addition, there is a need for a survey reference text for the many practitioners who cannot obtain specialized courses. With the exception of the statistics major, most university students do not have sufficient time in their programs to enroll in a variety of specialized one-semester courses, such as data analysis, linear models, experimental de­ sign, multivariate methods, contingency tables, logistic regression, and so on. There is a need for a second survey course that covers a wide variety of these techniques in an integrated fashion. It is also important that this sec­ ond course combine an overview of theory with an opportunity to practice, including the use of statistical software and the interpretation of results obtained from real däta.Springer Texts in Statistics,2197-4136MathematicsStatisticsBiometryMedical sciencesApplications of MathematicsStatistics in Business, Management, Economics, Finance, InsuranceBiostatisticsHealth SciencesMathematics.Statistics.Biometry.Medical sciences.Applications of Mathematics.Statistics in Business, Management, Economics, Finance, Insurance.Biostatistics.Health Sciences.519Jobson J.Dauthttp://id.loc.gov/vocabulary/relators/aut103510MiAaPQMiAaPQMiAaPQBOOK9910957358803321Applied multivariate data analysis438320UNINA