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[null,"1.","Record Nr.",null,"UNINA9910865241403321"]
[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 I / / edited by Hirohiko Mori, Yumi Asahi"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031601071"]
[{"$nulls":4},"9783031601064"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (337 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 14689"]
[null,null,"Disciplina",null,"5,437"]
[{"$nulls":4},"4,019"]
[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 I -- Contents - Part II -- Contents - Part III -- Information and Multimodality -- Agent \"Nah\": Development of a Voice-Driven Embodied Entrainment Character with Non-agreeable Responses -- 1 Introduction -- 2 Related Research -- 3 System Overview -- 3.1 Interaction Model for Auto-generated Entrained Motion -- 3.2 Nah: \"No\" and \"hmm\" Reaction Agent -- 4 User Test at the Science Experience Event for Children -- 5 Speech Experiment -- 5.1 Experimental Setup -- 5.2 Results of Sensory Evaluation -- 6 Conclusion -- References -- Interaction Between Environment and Embodiment Using a Biped Robot -- 1 Research Background -- 1.1 Interaction Between Brain, Body, and Environment -- 1.2 Robots and the Environment Embodiment -- 2 Related Research -- 2.1 The Body Creates the Brain: A Constructivist Approach to Science Using Robots as a Subject -- 2.2 Toward Deep Reinforcement Learning of Robots in the Real World. -Prototyping of a Simulation Environment \"Re:ROS\"- -- 3 Research Objectives -- 4 Experiment -- 4.1 Experiment "]
[{"$nulls":4},"Purpose -- 4.2 Experimental Method -- 4.3 Mounting Method -- 4.4 Reinforcement Learning -- 4.5 Reinforcement Learning Parameters -- 4.6 Virtual Environment -- 5 Result -- 5.1 Results on Actual Machine -- 5.2 Virtual Results -- 6 Considerations -- 7 Conclusion -- 8 Future Works -- 8.1 Consideration of Further Elements Using Virtual Environments -- 8.2 NAO's Performance -- References -- Research on Sound Production Considered from the Effects of Natural Wave Sounds on Physiological and Emotional Factors -- 1 Introduction -- 1.1 Background."]
[{"$nulls":4},"1.2 Previous Studies and Case Studies -- 1.3 Objectives of This Study -- 2 Experiment I -- 2.1 Objective of the Experiment -- 2.2 Experimental Method -- 2.3 Experimental Results and Analysis -- 2.4 Discussion -- 3 Experiment II -- 3.1 Experiment Objective -- 3.2 Experimental Method -- 3.3 Experimental Results and Analysis -- 3.4 Discussion -- 4 Conclusion -- References -- A Speech-Driven Embodied Listening System with Mirroring of Pupil Response -- 1 Introduction -- 2 Speech-Driven Embodied Listening System -- 2.1 Concept -- 2.2 Development of the System -- 2.3 Design of the Nodding Response -- 2.4 Design of the Mirroring in the Pupil Response -- 3 Communication Experiment -- 3.1 Experimental Method -- 3.2 Experimental Result -- 4 Conclusion -- References -- Optimizing Reading Experience: An Eye Tracking Comparative Analysis of Single-Column, Two-Column, and Three-Column Formats -- 1 Introduction -- 1.1 Design Elements and Cognitive Processing -- 1.2 Reading Speed and Comprehension -- 1.3 Eye-Tracking Technology in Reading Research -- 2 Methodology -- 2.1 Analyzed Parameters -- 2.2 Stimuli and Setup -- 2.3 Procedures -- 3 Results and Discussion -- 3.1 Voice Recording Analysis -- 3.2 Eyetracking Parameters -- 4 Research Gaps and Future Directions -- References -- Multimodal Design for Interactive Collaborative Problem-Solving Support -- 1 Introduction -- 2 Related Work -- 3 Weights Task Dataset -- 4 Collaborative Problem Solving -- 5 Features -- 5.1 Speech -- 5.2 Acoustics -- 5.3 Gesture and Pose -- 5.4 Actions -- 5.5 Facial Expression -- 5.6 Physical Space -- 6 Multimodal Fusion -- 7 Behavior Generation -- 8 Evaluation -- 9 Applications -- 10 Conclusion and Future Work -- References -- Intelligent Information Design Based on Human-Machine Collaboration in Lane Change Overtaking Scenarios -- 1 Introduction -- 2 Related Work."]
[{"$nulls":4},"2.1 Human-Vehicle Collaboration -- 2.2 Trust -- 2.3 Team Situation Awareness -- 3 Concept and System Design -- 3.1 Automation Surprise -- 3.2 Human-Machine Team Situation Awareness -- 3.3 HMI Portfolio Element Analysis -- 4 Experiment -- 4.1 Experiment Design -- 4.2 Experiment Results -- 4.3 Results Discussion -- 5 Conclusion -- References -- Information and Service Design -- Dynamic Labeling: A Control System for Labeling Styles in Image Annotation Tasks -- 1 Introduction -- 2 Related Work -- 2.1 Crowdsourcing Data Annotation -- 2.2 Annotation Workflow and Annotator Behaviors -- 3 Dynamic Labeling -- 3.1 Dynamic Control Algorithm -- 3.2 Label Quickly and Label Carefully Styles -- 4 User Study -- 4.1 Participants -- 4.2 Image Dataset -- 4.3 Procedure -- 4.4 Measurement -- 5 Results -- 5.1 Annotation Accuracy -- 5.2 Task Completion Time -- 5.3 Questionnaire -- 6 Discussion -- 6.1 Dynamic Labeling Increases Label Quality and Labeling Efficiency -- 6.2 Temporal Effect in the Dynamic Labeling -- 6.3 Limitations of the Dynamic Labeling -- 7 Conclusion -- References -- Research on Evacuation Care System for People with Low Vision -- 1 Introduction -- 1.1 Current Situation of People with Low Vision -- 1.2 Natural State of Japan -- 1.3 People with Lowvision in Disasters -- 2 Research of the Evacuation Care System -- 2.1 The "]
[{"$nulls":4},"Role of the Evacuation Care System -- 2.2 Examples of Evacuation Care Systems -- 2.3 Application Scenarios of the Evacuation Care System -- 3 Types of Disasters for Which Care Should Be Provided -- 3.1 Two Types of Disasters -- 3.2 Major Disasters in Japan -- 3.3 Secondary Disasters -- 4 Disaster Timeline -- 4.1 Disaster Interviewing for People with Low Vision -- 4.2 Timeline of Earthquakes and Tsunamis -- 4.3 Difficulties Faced by People with Low Vision During Tsunami and Earthquake Evacuation."]
[{"$nulls":4},"4.4 Timeline of Heavy Rains, Typhoons and Floods -- 4.5 Difficulties Faced by People with Low Vision During Heavy Rains, Typhoons and Floods -- 5 Conclusion and Future Works -- References -- Analysis of Interest and Satisfaction of Accommodation Users -- 1 Introduction -- 2 Previous Studies and Hypotheses -- 3 Data -- 3.1 Data -- 3.2 Preprocessing -- 4 Method -- 4.1 Extraction of User Interests -- 4.2 Differences in Interest by Usage Situation -- 4.3 Difference in Satisfaction Factors by Scene of Use -- 5 Results -- 5.1 Occurrence Words and Topic Meanings for Each Topic -- 5.2 User Interest by Usage Scenario -- 5.3 User Satisfaction Factors by Usage Situation -- 6 Discussion and Conclusion -- 6.1 Managerial Implications -- 6.2 Limitations and Future Research Design -- References -- A Generative Bottle Design System Based on Users' Touch Feelings -- 1 Introduction -- 2 Related Works -- 2.1 Kansei Image and Cognition -- 2.2 Parametric and Generative Design -- 3 The Structure and Process of Experiment -- 3.1 Building Bottle Samples -- 3.2 Selection of Touch-Feeling Vocabularies -- 3.3 Experiment Process -- 3.4 Single Sample t Test for Bottle Forms -- 4 Touch-Feeling Vocabulary with Regression Analysis -- 4.1 Geometric - Organic -- 4.2 Vivid-Dull -- 4.3 Rough - Delicate -- 4.4 Soft-Hard -- 4.5 Rational - Emotional -- 5 Conclusions and Suggestions -- References -- Exploring Requirements for Neurosurgical Augmented Reality -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Study Design -- 4 Results -- 4.1 Qualitative Feedback -- 5 Discussion -- 6 Conclusion -- References -- Exploring User Preferences in Al-Generated Car Wheel Frame Designs: A Preliminary Study of Users with Varied Design Experience -- 1 Introduction -- 1.1 Research Background -- 1.2 Research Purposes -- 2 Literature Review."]
[{"$nulls":4},"2.1 Research on Artificial Intelligence and Image Generation Software -- 2.2 Car Wheel Frame Shape Design -- 2.3 The Impact of Text Input and Output -- 2.4 The Difference Between Experts and Non-experts \"Design Experience\" -- 3 Research Methods and Experimental Design -- 3.1 Experimental Process and Methods -- 3.2 Experimental Software and Operating Instructions -- 3.3 Background Information for Non-experts and Experts -- 3.4 Experimental Steps -- 4 Experimental Results and Analysis -- 4.1 Experimental Stage 1: Results and Discussion of Text Instructions for Non-wheel Rim Experts -- 4.2 Experimental Stage 1-2: Four-Bit Image Aggregation Results -- 4.3 Experimental Stage 2: Comparism of Design/non Design Participants' (4 Non-experts) Opinions for Sports and Luxury Style Images -- 4.4 Experimental Stage 3: The Discussion of the Results and Interview Results of Experts' Selection for Sports and Luxury Style Images -- 5 Conclusion -- 5.1 Using AI to Provide Effects for Non-rim Experts -- 5.2 Differences in Cognition and Judgment Standards Between Wheel Rim Experts and Non-experts -- 5.3 Does AI Image Generation Have Expert-Level Design Capabilities? ! -- 5.4 Future Recommendations -- References -- Current Research and Application Status of Mental Models in the Field of Design in China: A Literature-Based Approach -- 1 Introduction -- 2 Data Sources and Study Methods -- 3 Statistical Analysis of the MM-CDR Study -- 3.1 Time Distribution Analysis "]
[{"$nulls":4},"of Publication Volume -- 3.2 Distribution of Literature Sources -- 3.3 Research Hotspot Analysis -- 3.4 Evolution of the Research Hotspots -- 3.5 Analysis of the High-Influence Literature -- 4 Epilogue -- References -- VR System for Hazard Prediction of Unsafe Behaviors in Outbound Training -- 1 Introduction -- 2 Related Works -- 2.1 Research on Hazard Classification."]
[{"$nulls":4},"2.2 Advantages of Using VR in Construction Safety Training."]
[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."]