LEADER 01308aam 2200397I 450 001 9910711221503321 005 20151113033703.0 024 8 $aGOVPUB-C13-48b5ac4f05301371b3606917cc312714 035 $a(CKB)5470000002481809 035 $a(OCoLC)929066707 035 $a(EXLCZ)995470000002481809 100 $a20151113d1985 ua 0 101 0 $aeng 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aHigh voltage divider and resistor calibrations /$fM. Misakian 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d1985. 215 $a1 online resource 225 1 $aNBS technical note ;$v1215 300 $a1985. 300 $aContributed record: Metadata reviewed, not verified. 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200 10$aHuman Interface and the Management of Information $eThematic Area, HIMI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29?July 4, 2024, Proceedings, Part I /$fedited by Hirohiko Mori, Yumi Asahi 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (337 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14689 311 08$aPrint version: Mori, Hirohiko Human Interface and the Management of Information Cham : Springer International Publishing AG,c2024 9783031601064 327 $aIntro -- 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 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. 327 $a1.2 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. 327 $a2.1 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 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. 327 $a4.4 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. 327 $a2.1 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 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. 327 $a2.2 Advantages of Using VR in Construction Safety Training. 330 $aThis 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. 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