Digital Interaction and Machine Intelligence

Name: Digital Interaction and Machine Intelligence | Proceedings of MIDI'2020 - 8th Machine Intelligence and Digital Interaction Conference, December 9-10, 2020, Warsaw, Poland (online)
Brand: Springer
Price: 160.49 EUR
Availability: OnlineOnly

Proceedings of MIDI'2020 - 8th Machine Intelligence and Digital Interaction Conference, December 9-10, 2020, Warsaw, Poland (online)

Cezary Biele Janusz Kacprzyk Jan W. Owsinski Andrzej Romanowski Marcin Sikorski(Herausgeber*in)

Springer (Verlag)

Erschienen am 25. Juni 2021

VIII, 188 Seiten

E-Book

PDF mit Wasserzeichen-DRM

Systemvoraussetzungen

978-3-030-74728-2 (ISBN)

160,49 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Wasserzeichen-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Inhalt

Intro
Preface
Contents
Machine Intelligence
Neural Machine Translation for Turkish to English Using Deep Learning
1 Introduction
2 Related Work
3 Data Collection, Preprocessing and Test Environment
3.1 Data Collection
3.2 Preprocessing and Test Environment
4 Methodology
5 Results and Discussion
6 Conclusion and Future Work
References
Text Similarity Detection Using Machine Learning Algorithms with Character-Based Similarity Measures
1 Introduction
2 Literature Review
3 Methodology
3.1 Character-Based Similarity Methods
3.2 Classification Methods
4 Experiments
4.1 Data Collection and Preprocessing
4.2 Training and Model Hyperparameters
4.3 Results
5 Conclusion
References
Palm Tree Detection in Drone Images Using Deep Convolutional Neural Networks: Investigating the Effective Use of YOLO V3
1 Introduction and Literature Review
2 Research Dataset
3 Research Methodology
3.1 Training Strategy
4 Experiments, Results and Discussion
4.1 Evaluation Metrics
5 Conclusion
References
Training and Evaluation of Word Embedding Models for Azerbaijani Language
1 Introduction
2 Related Work
3 Word Embedding Models
3.1 Word2Vec
3.2 Glove
4 Data
5 Evaluation of Models
5.1 Intrinsic Evaluation
5.2 Extrinsic Evaluation
6 Conclusion
References
Determining Geo-location of Tweets Using Cognitive Intelligence
1 Introduction
2 Dataset Information
3 Experiments
3.1 Data Preprocessing and Modeling
3.2 Feature Engineering
3.3 Classification and Immediate Observation
4 Results and Discussions
5 Conclusion and Future Work
References
Prediction of Locations Using Unsupervised Learning Method to Open a Restaurant Branch
1 Introduction
2 Literature Survey
3 Methodology
3.1 Data Collection
3.2 Data Preparation
3.3 Data Analysis
3.4 Algorithm
4 Result and Discussion
5 Conclusion
References
A Framework to Support Creation of AI Applications for Low-Power WSN Nodes
1 Motivation
2 Embedded AI Use Cases
3 Concept Description
3.1 Device and Structure Configuration Process
3.2 Structure Edition Process
3.3 Code Generation Process
4 Current Status
5 Next Steps
6 Conclusions
References
Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment
1 Introduction
2 Background
3 Working Methodology of Selected SR Algorithms
3.1 Learning-Based Super Resolution
3.2 Self-similarity-Based Super Resolution
3.3 CNN Based Super Resolution
3.4 GAN Based Super Resolution
4 Implementation
5 Experimental Results and Discussions
6 Conclusion
References
Digital Interaction
Interpersonal Distance in VR: Reactions of Older Adults to the Presence of a Virtual Agent
1 Theoretical Context
1.1 Serious Virtual Environments
1.2 Older Adults' Population
2 Method
2.1 Participants
2.2 Apparatus
2.3 Procedure
3 Results
4 Discussion
5 Implications and Further Directions
References
UX in Virtual Reality. Qualitative Assessment Based on a Range of Applications
1 Introduction
2 Background
3 Method
4 Results
4.1 Immersion
4.2 Level of Presence
4.3 Interactivity
4.4 Control Modes
4.5 Other Observations
5 Discussion and Conclusions
6 Limitations and Future Directions
Appendix Topics Discussed in the Qualitative Interview
References
Patterns of Digital Users' Irrationality in the Moment of Digital Transformation of the Media
1 Our Hypothesis and Its Premises
2 Background of the Study
3 Method
3.1 Study Participants and Sample
3.2 Division of Respondents by the Intensity of Internet Use
4 Results
4.1 Insight 1. Digital Intensiveness is a Predictor of Mythical Thinking
4.2 Insight 2. Digital Intensiveness is a Predictor of Other Media Decrease in Importance
4.3 Insight 3. Digital Intensiveness is a Predictor of Feeling Empowered
5 Conclusions
References
All Factors Should Matter! Reference Checklist for Describing Research Conditions in Pursuit of Comparable IVR Experiments
1 Introduction
2 What Factors Matter and Why
3 Reference Checklist
4 Conclusions
References
A Learning Analytics Case Study: Relation of Students Learning Approach to Online Learning Environment Behaviours
1 Introduction
1.1 Learning Approaches
1.2 Online Learning
1.3 Learning Analytics
2 Method
2.1 Purpose of the Research
2.2 Research Questions
2.3 Research Design
2.4 Participants
2.5 Data Collection Tools
3 Results
4 Conclusion
References
Deploying Crowdsourcing for Workflow Driven Business Process-A Brief Proposal
1 Introduction
2 An Overview of Methods and Practice
2.1 Crowdsourcing Platforms
2.2 Workflow Management Systems
3 Integrating Crowdsourcing Interaction into Business Process Management Platforms
3.1 Delegation of the Task by the User to an External PCS
3.2 Proposed Workflow Systems Modifications
4 Conclusions
References
Exploration of Voice User Interfaces for Older Adults-A Pilot Study to Address Progressive Vision Loss
1 Introduction
2 Literature Review
3 Initial Exploratory Study
3.1 Methods
3.2 Results and Discussion
4 Follow-up In-depth Pilot Study
4.1 Methods
4.2 Results and Discussion
5 Conclusions
References
Copresence and Well-being in the Time of Covid-19: Is a Video Call Enough to be and Work Together?
1 Theoretical Context
1.1 Copresence
1.2 Mental Well-being
1.3 Research Questions and Hypotheses
2 Method
2.1 Sample and Data Collection
2.2 Scales
2.3 Data Analysis
3 Results
3.1 Descriptive Statistics
3.2 Validation of the Short Singapore Mental Wellbeing Scale in Polish
3.3 Predictors of Copresence
3.4 Predictors of Mental Well-being
4 Discussion
References
Technology Enables Struggling with Everyday Life's Chores: Working Women with Two or More Small Children Are Confident Technology Users
1 Introduction: Gender, Stress and Technology
2 Aim of the Study
3 Method (Fieldwork, Respondents, Dates and the Sample)
4 Results
5 Discussion
References

Systemvoraussetzungen

Als PDF speichern Als Link merken