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[null,"1.","Record Nr.",null,"UNINA9910865263003321"]
[null,null,"Autore",null,"Mori Hirohiko"]
[null,null,"Titolo",null,"Human Interface and the Management of Information : Thematic Area, HIMI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part II / / edited by Hirohiko Mori, Yumi Asahi"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031601149"]
[{"$nulls":4},"9783031601132"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (351 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 14690"]
[null,null,"Disciplina",null,"005.437"]
[{"$nulls":4},"004.019"]
[null,null,"Soggetti",null,"User interfaces (Computer systems)"]
[{"$nulls":4},"Human-computer interaction"]
[{"$nulls":4},"User Interfaces and Human Computer Interaction"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Foreword -- HCI International 2024 Thematic Areas and Affiliated Conferences -- List of Conference Proceedings Volumes Appearing Before the Conference -- Preface -- Human Interface and the Management of Information Thematic Area (HIMI 2024) -- HCI International 2025 Conference -- Contents - Part II -- Data Visualization -- Bridging Understanding: A Multi-year Study of the Effect of Aesthetics, Usability and User Domain Knowledge on Interpreting Scientific Visualization -- 1 Introduction -- 2 Background -- 2.1 Related Research -- 3 Method: Atomization Spray Visualization -- 3.1 Visualization Description -- 3.2 Research Questions -- 3.3 Participants -- 3.4 Experimental Treatments -- 4 Results: Atomization Spray Visualization -- 5 Method: Deflagration to Detonation Visualization -- 5.1 Visualization Description -- 5.2 Research Questions -- 5.3 Participants -- 5.4 Experimental Treatments -- 6 Results and Conclusions: Deflagration to Detonation Visualization -- References -- Visualization and Interpretation of Latent Space in Deep Learning -- 1 Introduction -- 2 Deep Classification Model -- 3 Learning Dynamics of Feature Extractors and Classifiers -- 4 Towards Better Understanding of CNNs: Visualizing the Latent Spaces -- 5 Conclusions -- References -- Events Remembering Support Via "]
[{"$nulls":4},"Character Relationships' Visualization of Novels -- 1 Introduction -- 2 Related Work -- 2.1 Extraction of Characters' Relationships from Texts -- 2.2 Support for Understanding Text Content -- 3 Proposed Interface -- 3.1 Overview of the Proposed Interface -- 3.2 Characters' Relationships Visualization Procedure -- 3.3 Extraction of Characters from a Novel Text -- 3.4 Extraction of Characters' Relationships -- 3.5 Arrangement of Characters -- 3.6 Functions on the User Interface -- 4 Evaluation Experiments -- 4.1 Experimental Procedures."]
[{"$nulls":4},"4.2 Used Novel Texts and Prepared Quizzes -- 4.3 Evaluation Method -- 4.4 Experimental Results -- 5 Discussion -- 5.1 Consideration of Average Correct Answer Rate by Question Type -- 5.2 Effect of Novel Genre -- 6 Conclusion -- References -- Generative Artificial Intelligence for the Visualization of Source Code as Comics -- 1 Introduction -- 2 Related Work -- 2.1 Generative AI -- 2.2 Code Comics -- 3 Generation of Comics for Visualizing Source Code -- 3.1 Prompt Design -- 3.2 Comics Generation -- 3.3 Study -- 3.4 Results -- 4 Discussion -- 4.1 Code Comic Generation -- 4.2 Limitations -- 5 Conclusions and Future Work -- References -- Analysis of Relationships Between Suicide and Time of Life and Lifestyle Behaviors in Japan Before and After the COVID-19 Pandemic and Use of Generative AI for EBPM -- 1 Introduction -- 1.1 Study Motivation -- 1.2 Previous Studies -- 1.3 Study Aim -- 2 Data -- 2.1 Suicide Data -- 2.2 Lifestyle Behavior Data and Linear Models -- 3 Analysis -- 3.1 Visualization -- 3.2 Lenear Model -- 3.3 ChatGPT -- 4 Concluding Remarks and Future Studies -- References -- The Linked Microposter Plots Family as New Means for the Visualization of Eye Tracking Data -- 1 Introduction -- 2 Eye Tracking Data and Visualization -- 2.1 Data -- 2.2 Visualization -- 3 The Development of Linked Microposter Plots -- 4 Linked Microposter Plots Construction -- 5 Linked Microposter Plots Interpretation -- 6 Linked Timeline Microposter Plots and Linked Scanpath Microposter Plots -- 6.1 Linked Timeline Microposter Plots -- 6.2 Linked Scanpath Microposter Plots -- 7 Visualization with the EyeTrackR R Package -- 8 Conclusion and Future Work -- References -- Visualization of ESG-Related Information in Integrated Reports Using Text Mining and Usefulness as Teaching Material -- 1 Introduction -- 2 Analytical Method -- 2.1 Jaccard Coefficient."]
[{"$nulls":4},"2.2 Tools Used in Analysis -- 2.3 Preprocessing -- 3 Analysis Procedure -- 3.1 Analysis Data -- 3.2 Analysis Process -- 3.3 Visualization/Analysis -- 4 Results -- 5 Survey -- 6 Conclusion and Future Works -- References -- Analysis of Feedback in Error Visualization Systems Using Thinking Aloud Protocol -- 1 Introduction -- 2 Error Visualization -- 3 Proposed Analysis Method -- 3.1 Thinking-Aloud Protocol -- 3.2 Speech-Based Analysis Methods -- 4 Evaluation Experiment -- 4.1 Evaluation Experimental Method -- 4.2 EBPP System -- 5 Analysis Results -- 5.1 Feedback Analysis Results -- 5.2 Consideration of the Causes of the Results -- 6 Proposed Method -- 7 Related Research on EBS -- 7.1 Research on Reliability -- 7.2 Research on Suggestiveness -- 8 Conclusion -- References -- Predicting the Risk of Bicycle Theft Occurrence Considering Routine Activity Theory and Spatial Correlation -- 1 Background -- 2 Methods -- 3 Materials -- 3.1 Households -- 3.2 Nearby Facilities -- 3.3 Human Dynamics -- 4 Results -- 5 Discussion -- References -- Visualization of Software Development Provenance -- 1 Introduction -- 2 Provenance -- 2.1 Using and Analyzing Provenance -- 2.2 Provenance Visualization -- 3 Provenance of Software Development Processes -- 3.1 Provenance for git Repositories -- 3.2 GitLab2PROV Example -- 4 Visualizations of Software Engineering Provenance -- 4.1 Graph Visualization -- 4.2 Metrics Visualization -- 4.3 Time-Oriented Visualization -- 4.4 Task-"]
[{"$nulls":4},"Oriented, Work Process-Oriented, and Hierarchy-Oriented Visualization -- 4.5 Interactive Interfaces -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Escaping Flatland: Graphics, Dimensionality, and Human Perception -- References -- Before and After COVID-19 Outbreak Using Variance Representation Comparative Analysis of Newspaper Articles on the Travel Hotel Industry -- 1 Introduction."]
[{"$nulls":4},"2 Principle -- 2.1 NMF Latent Semantic Analysis -- 2.2 Hierarchical Clustering -- 2.3 BERT Text Classification -- 3 Analytical Methods -- 3.1 NMF Latent Semantic Analysis and Hierarchical Clustering Are Performed by the Following Procedure -- 3.2 BERT Text Classification -- 4 Experiment -- 4.1 Data Summary -- 4.2 NMF Latent Semantic Analysis -- 4.3 Hierarchical Clustering -- 4.4 Result -- 5 In Conclusion -- References -- Research on the Effects of Multi-visual Coding in Geographic Information Visualization -- 1 Introduction -- 2 Method -- 2.1 Subjects -- 2.2 Design and Materials -- 2.3 Procedure -- 3 Results -- 3.1 The Quantity in Multi-Visual Coding -- 3.2 One-Attribute Coding Forms -- 3.3 Two-Attribute Coding Forms -- 3.4 Three-Attribute Coding Forms -- 3.5 Four-Attribute Coding Forms -- 4 Discussion -- References -- User Experience Design and Evaluation -- Exploring the Behavior of Users \"Training\" Douyin's Personalized Recommendation Algorithm System in China -- 1 Introduction -- 2 Literature Review -- 2.1 Research on the Behavior of Algorithm Resistance -- 2.2 Research on the Behavior of Training Algorithms -- 2.3 TikTok as a Case Study -- 3 Research Methods -- 3.1 Recruiting Respondents -- 3.2 Participants -- 3.3 Collecting Data -- 3.4 Analyzing Data -- 3.5 Ethics Consideration -- 4 Results -- 4.1 RQ1: Motivations for Users Training TikTok Recommendation Algorithm -- 4.2 RQ2: Means of Users Training TikTok Personalized Recommendation Algorithm -- 4.3 RQ3: Perceptual Influencing Factors for Users Training TikTok Personalized Recommendation Algorithm -- 5 Discussion -- 5.1 Theoretical Implications -- 5.2 Methodological Implications -- 5.3 Practical Implications -- 5.4 Limitations and Future Work -- 6 Conclusion -- References -- Structural Equation Modeling for the Effect of Involvement on Consumer Engagement -- 1 Introduction."]
[{"$nulls":4},"2 Development of Hypotheses and Conceptual Models -- 3 Structural Equation Modeling for the Effect of Involvement on Consumer Engagement -- 3.1 Second-Order Structural Equation Modeling -- 3.2 Structural Equation Modeling with Optimal Scaling -- 4 Data Analysis and Results -- 5 Concluding Remarks -- A Nonlinear Principal Component Analysis -- B The ALS Algorithm -- References -- A Qualitative Research Approach to Collect Insights of College Students Engaging in A University Social Responsibility Project with Augmented Reality -- 1 Introduction -- 2 Literature Review -- 2.1 SR, CSR, and USR -- 2.2 Empathy, Transformative Learning Theory, and Community Engagement -- 3 Research Context and Methodology -- 3.1 Participants -- 3.2 Interview -- 3.3 Data Analysis -- 4 Results -- 5 Discussion -- References -- A Case Study on AI System Evaluation from Users' Viewpoints -- 1 Introduction -- 1.1 Problem Definition -- 1.2 Proposed Approach -- 2 Model Development Based on Quality-in-Use Components -- 2.1 Quality-in-Use Model -- 2.2 Trust Development to Accept an AI System -- 2.3 Comprehensive Approach to Evaluate and Design Quality-in-Use Components of an AI System -- 3 Use Case Analysis -- 3.1 Outline of Autonomous Drone Service -- 3.2 Service Requirement Details -- 3.3 Connecting Service Requirements to Quality-in-Use Components -- 4 Conclusion -- References -- Exploring Connections Between Eye Movements "]
[{"$nulls":4},"and the Big Five Personality Traits -- 1 Background -- 1.1 The Role of Eye Tracking in Neuromarketing -- 1.2 How Personality Influences Observation Behavior -- 2 Objective -- 3 Method -- 3.1 Experiment Procedure -- 3.2 Information on Personality Traits (Big Five) -- 3.3 Eye Tracking -- 4 Analysis Methods -- 4.1 Data for Analysis -- 4.2 Eye Movement Features -- 4.3 Model Development -- 5 Results -- 5.1 Big Five Personality Traits -- 5.2 Impression Evaluation Data."]
[{"$nulls":4},"5.3 Multiple Regression Analysis."]
[null,null,null,"Sommario/riassunto","This three-volume set LNCS 14789-14791 constitutes the refereed proceedings of the thematic area Human Interface and the Management of Information, HIMI 2024, held as part of the 26th International Conference on Human-Computer Interaction, HCI International 2024, which took place in Washington DC, USA, during June 29 – July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The proceedings address approaches and objectives of information and data design, retrieval, presentation and visualization, management, and evaluation in human computer interaction in a variety of application domains, such as, for example, learning, work, decision, collaboration, medical support, and service engineering, and much more."]