Intelligent Human Computer Interaction 9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings
This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Intelligent Human Computer Interaction, IHCI 2017, held in Evry, France, in December 2017. The 15 papers presented together with three invited papers were carefully reviewed and selected from 25 submissi...
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| Hlavní autoři: | , , |
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| Médium: | E-kniha Kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham
Springer Nature
2017
Springer Open Springer International Publishing AG Springer |
| Vydání: | 1 |
| Edice: | Information Systems and Applications, incl. Internet/Web, and HCI |
| Témata: | |
| ISBN: | 9783319720388, 3319720384, 9783319720371, 3319720376 |
| On-line přístup: | Získat plný text |
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- Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Estimation of Priors -- 3.2 Estimation of Likelihoods -- 3.3 Estimating Conditional Probabilities -- 3.4 Estimating Probabilities of Experienced Emotions -- 3.5 Dataset -- 4 Results -- 4.1 Case Studies -- 4.2 Analysis -- 5 Conclusions -- References -- Standard Co-training in Multiword Expression Detection -- Abstract -- 1 Introduction -- 2 Semi-supervised Learning: Co-training -- 3 Experimental Setup -- 4 Results -- 5 Conclusion -- Acknowledgement -- References -- Comparative Study on Normalisation in Emotion Recognition from Speech -- 1 Introduction -- 2 Data Sets -- 3 Normalising Methods -- 4 Experimental Setup -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- Detecting Vigilance in People Performing Continual Monitoring Task -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Experimental Setup -- 2.2 Protocol -- 2.3 Data Acquisition -- 2.4 Detection of ERPs -- 3 Results and Discussions -- 4 Conclusion -- References -- Author Index
- Intro -- Preface -- Organization -- Invited Papers -- Optimizing User Interfaces for Human Performance -- Simplexity and Vicariance: On Human Cognition Principles for Man-Machine Interaction -- Interpersonal Human-Human and Human-Robot Interactions -- Contents -- Smart Interfaces -- Optimizing User Interfaces for Human Performance -- References -- Geometrical Shapes Rendering on a Dot-Matrix Display -- Abstract -- 1 Introduction -- 2 Related Work -- 3 User Study -- 3.1 Experimental Conditions -- 3.2 Participants -- 3.3 Protocol -- 3.4 Measures -- 4 Results -- 4.1 Recognition Rate -- 4.2 Recognition Time -- 5 Discussion -- 6 Conclusion -- References -- Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM -- 1 Introduction -- 1.1 Dynamic Hand Gesture Detection - An Overview -- 2 Methods -- 2.1 The Hand Gesture Database -- 2.2 From Point Clouds to Network Input -- 2.3 LSTM Model for Gesture Recognition -- 3 Experiments and Observations -- 3.1 Model Parameters -- 3.2 Deep LSTM Parameter Search -- 3.3 Measuring Accuracy as a Function of Observation Time -- 3.4 Speedup and Optimization of the Model -- 4 Experimental Results -- 4.1 Deep LSTM Parameter Search -- 4.2 Measuring Accuracy as a Function of Observation Time -- 4.3 Speedup and Optimization of the Model -- 5 System Demonstrator -- 5.1 Hardware -- 5.2 System Performance -- 6 Conclusion -- References -- Adjustable Autonomy for UAV Supervision Applications Through Mental Workload Assessment Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 3.1 Architecture Overview -- 3.2 UAVs Simulator -- 3.3 Bandwidth Simulator -- 3.4 Adjustable Autonomy Control Tower -- 4 User Interface -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Brain Computer Interfaces -- Classification of Motor Imagery Based EEG Signals Using Sparsity Approach
- Design Considerations for Self Paced Interactive Notes on Video Lectures - A Learner's Perspective and Enhancements of Learning Outcome -- 1 Introduction -- 2 Problem Statement -- 3 MOOCbook a Novel Model -- 4 Architectural Design -- 4.1 Design of COURSESEEKA Module -- 4.2 Modified Fuzzy Closeness Approximation Algorithm -- 5 Implementation -- 5.1 Prototype Specifications -- 5.2 Prototype Demonstration -- 6 Synthesis of Experiments and Result -- 6.1 Evaluation Criterion -- 6.2 Methodology -- 6.3 Instruments -- 7 Conclusion -- References -- Using Psycholinguistic Features for the Classification of Comprehenders from Summary Speech Transcripts -- 1 Introduction -- 2 Brief Description of Coh-Metrix Measures -- 3 Participants and Method -- 4 Feature Analysis -- 5 Classification -- 6 Result and Discussion -- References -- LECTOR: Towards Reengaging Students in the Educational Process Inside Smart Classrooms -- Abstract -- 1 Introduction -- 2 Background Theory -- 3 The Smart Classroom Behind LECTOR -- 4 LECTOR Approach -- 4.1 Motivating Scenarios -- 4.2 Context of Use -- 4.3 Sensorial Data -- 4.4 Inattention Alarms -- 4.5 Intervention Rules -- 4.6 Intervention Assessment -- 5 Conclusions and Future Work -- References -- Predicting Driver's Work Performance in Driving Simulator Based on Physiological Indices -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Participants -- 2.2 Apparatus -- 2.3 Work Performance and Mental Workload Measures -- 2.4 Experimental Task -- 2.5 Group Method of Data Handling -- 2.6 Procedure -- 3 Results -- 3.1 Sensitivity with the Workload Level -- 3.2 Correlation Between the Number of Errors and Other Methods -- 3.3 Predicting the Number of Errors by Integrating Physiological Measures -- 4 Discussion -- 4.1 Limitations -- 5 Conclusions -- Acknowledgements -- References -- Machine Perception of Humans
- 1 Introduction -- 2 Data and Method -- 2.1 Dataset Description -- 2.2 Channel Selection and Preprocessing -- 2.3 Proposed Spatial Filtering Based Sparsity Approach -- 3 Experimental Results -- 3.1 Results of Sparsity Based Classification -- 3.2 Comparison with SVM and LR -- 4 Conclusion -- References -- Mental Workload Assessment for UAV Traffic Control Using Consumer-Grade BCI Equipment -- 1 Introduction -- 2 Related Work -- 3 Emotiv Epoc Headset -- 4 Simulation Framework -- 5 User Interface -- 6 User Tasks -- 7 Data Analysis and Classification -- 7.1 Pre-processing -- 7.2 Feature Extraction -- 7.3 Classification -- 8 Results and Discussion -- References -- Improving Classification Performance by Combining Feature Vectors with a Boosting Approach for Brain ... -- Abstract -- 1 Introduction -- 2 Proposed Algorithm -- 2.1 Problem Design -- 2.2 Model Learning Algorithm -- 2.3 Algorithm 1: Architecture of Proposed Boosting Algorithm -- 3 Result -- 4 Conclusion -- Acknowledgements -- References -- LINEUp: List Navigation Using Edge Menu -- 1 Introduction -- 2 Related Work -- 2.1 Menus for Mobile -- 2.2 List Navigation -- 2.3 Contacts' List -- 2.4 Utilizing Screen Edge and Bezel -- 2.5 Layout Design -- 2.6 Interaction Design -- 2.7 Pre Study: Observing Mobile Holding Position -- 3 Study I: Evaluating Edge Menus Layout and Interaction Techniques -- 3.1 Design -- 3.2 Apparatus -- 3.3 Participants and Procedure -- 3.4 Results -- 3.5 Discussion -- 3.6 Post Study: Questionnaire -- 4 Study II: Dual vs. Single Handed Interaction -- 4.1 Design -- 4.2 Participants and Procedure -- 4.3 Results -- 4.4 Discussion -- 5 Study III: Evaluating Nested U-Edge Menus -- 5.1 Design -- 5.2 Apparatus -- 5.3 Participants and Procedure -- 5.4 Results -- 5.5 Discussion -- 6 Summary -- 7 Limitations and Future Work -- 8 Conclusion -- References -- Applications