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Digital Interaction and Machine Intelligence : Proceedings of MIDI'2022 - 10th Machine Intelligence and Digital Interaction - Conference, December 12-15, 2022, Warsaw, Poland (Online).

Bibliographic Details
Main Author: Biele, Cezary.
Other Authors: Kacprzyk, Janusz., Kopeć, Wiesław., Owsiński, Jan W., Romanowski, Andrzej., Sikorski, Marcin.
Format: eBook
Language:English
Published: Cham : Springer, 2023.
Edition:1st ed.
Series:Lecture Notes in Networks and Systems Series
Subjects:
Electronic books.
Online Access:Click to View
Table of Contents:
  • Intro
  • Foreword
  • Contents
  • Machine Intelligence
  • Light Fixtures Position Detection Using a Camera
  • 1 Introduction
  • 1.1 Use Case
  • 1.2 Programming Light Show
  • 1.3 Light Network Control
  • 2 State of the Art
  • 3 Software
  • 3.1 Programming Environment
  • 3.2 Light Fixture Detection
  • 3.3 GUI and User Input
  • 4 Experiment
  • 4.1 Lights Setup
  • 4.2 Camera
  • 5 Results
  • 6 Discussion
  • 7 Conclusion
  • 8 Limitations
  • 9 Future Research
  • 10 Declarations
  • References
  • Improved Vehicle Logo Detection and Recognition for Complex Traffic Environments Using Deep Learning Based Unwarping of Extracted Logo Regions in Varying Angles
  • 1 Introduction
  • 2 Related Works
  • 3 Working Methodology
  • 3.1 Selected Models
  • 3.2 Dataset
  • 4 Results and Discussions
  • 4.1 Test Cases
  • 4.2 Comparative Analysis
  • 4.3 Pose Variation Calculation
  • 5 Conclusion and Future Work
  • References
  • Predicting Music Using Machine Learning
  • 1 Introduction
  • 2 Data
  • 3 Feature Representation
  • 3.1 Basic Music Notation
  • 3.2 Note and Chord Representation
  • 4 Methods and Modeling
  • 4.1 Markov Chain Model
  • 4.2 LSTM Model
  • 4.3 LSTM Encoder-Decoder Model
  • 4.4 Inference Modeling
  • 4.5 Other Techniques
  • 5 Results and Observations
  • 6 Conclusion and Future Work
  • References
  • A Novel Process of Shoe Pairing Using Computer Vision and Deep Learning Methods
  • 1 Introduction
  • 2 Related Work
  • 3 The Proposed Approach
  • 3.1 Deep Multiview Representation Learning
  • 3.2 Clustering
  • 4 Results
  • 5 Conclusions
  • References
  • Representation of Observations in Reinforcement Learning for Playing Arcade Fighting Game
  • 1 Introduction
  • 2 Environment Setup for KOF '97
  • 2.1 Interaction with Arched Emulator
  • 2.2 Action Space
  • 2.3 Observation
  • 2.4 Graphical Representation of the Input and ACT Sequences
  • 2.5 Reward System.
  • 2.6 Proposed Network Structure
  • 3 Experiment
  • 3.1 Training Process
  • 3.2 Results
  • 3.3 Discussion
  • 4 Conclusions
  • References
  • AI4U: Modular Framework for AI Application Design
  • 1 Motivation
  • 2 Related Work
  • 3 Proposed Approach
  • 4 The Application Area
  • 4.1 Watchman Scenario
  • 4.2 Parkmonitor Scenario
  • 4.3 Tracker Scenario
  • 4.4 Mapping the Environment Scenario
  • 4.5 Vehicle Counting
  • 4.6 Space Surveyer
  • 4.7 Mission to Mars
  • 4.8 First Conclusions
  • 5 Conclusions and Further Work
  • References
  • A Competent Deep Learning Model to Detect COVID-19 Using Chest CT Images
  • 1 Introduction
  • 2 Literature Review
  • 3 Our Proposed Methodology
  • 3.1 Dataset Description and Preprocessing
  • 3.2 Methodology
  • 4 Results
  • 5 Future Work and Conclusion
  • References
  • AI in Prostate MRI Analysis: A Short, Subjective Review of Potential, Status, Urgent Challenges, and Future Directions
  • 1 Introduction
  • 2 The Potential of Artificial Intelligence in MpMRI Analysis
  • 2.1 Prostate Segmentation
  • 2.2 Prostate Lesion Detection and Characterization
  • 3 Urgent Challenges
  • 3.1 Datasets
  • 3.2 Defining Ground Truth
  • 3.3 Different Evaluation Criteria
  • 3.4 Limited Multireader Studies and Prospective Evaluation
  • 4 Future Directions
  • 5 Conclusions
  • References
  • Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study
  • 1 Introduction
  • 2 Methods
  • 2.1 Dataset
  • 2.2 Radiological Assessment Study
  • 2.3 Deep CNN Model
  • 2.4 Probability Mapping
  • 2.5 Statistical Analysis
  • 3 Results
  • 3.1 Results of Raw CNN Predictions
  • 3.2 CNN Performance Compared to Human Raters
  • 3.3 Diagnostic Accuracy of Combined Assessment
  • 4 Discussion and Conclusion
  • References
  • Assessing GAN-Based Generative Modeling on Skin Lesions Images
  • 1 Introduction
  • 2 Materials and Methods.
  • 2.1 International Skin Imaging Collaboration Database
  • 2.2 Training Details
  • 2.3 Evaluation Protocol
  • 3 Results
  • 3.1 GANs Trainings
  • 3.2 Predictive Performance with Classifier
  • 3.3 Explanations of the Predictions
  • 4 Discussion
  • 5 Conclusions
  • References
  • Prostate Cancer Detection Using a Transformer-Based Architecture and Radiomic-Based Postprocessing
  • 1 Introduction
  • 2 Material and Methods
  • 2.1 Preprocessing
  • 2.2 Deep Learning Architecture
  • 2.3 Optimization
  • 2.4 Hyperparameter Selection
  • 2.5 Postprocessing
  • 3 Results and Discussion
  • 4 Conclusions
  • References
  • Sales Forecasting During the COVID-19 Pandemic for Stock Management
  • 1 Introduction
  • 2 Dataset
  • 3 Methodology
  • 3.1 Problem Identification
  • 3.2 Data Preparation
  • 3.3 Exploratory Data Analysis
  • 3.4 Feature Extraction
  • 3.5 Dataset Separation
  • 3.6 Regression and Machine Learning Model
  • 3.7 Performance Evaluation
  • 4 Findings and Interpretation
  • 5 Conclusion
  • References
  • Digital Interaction
  • Seeking Emotion Labels for Bodily Reactions: An Experimental Study in Simulated Interviews
  • 1 Introduction
  • 1.1 Research Goal and Motivation
  • 1.2 Hypotheses and Research Question
  • 2 Theoretical Background
  • 3 Methodology
  • 3.1 Experiment Design
  • 3.2 Procedure
  • 3.3 Participants
  • 3.4 Data Collection
  • 3.5 Preprocessing Data
  • 3.6 Analysis
  • 4 Results
  • 5 Discussion
  • 6 Conclusion
  • References
  • "NAO Says": Designing and Evaluating Multimodal Playful Interactions with the Humanoid Robot NAO
  • 1 Introduction
  • 2 Design and Programming
  • 2.1 Design
  • 2.2 Programming
  • 3 Methods and Studies
  • 4 Results
  • 4.1 Perceptions of the NAO Robot and the Game "NAO Says"
  • 4.2 Perceived Level of Stress Before and After the Game
  • 5 Conclusions
  • References.
  • Representation of Air Pollution in Augmented Reality: Tools for Population-Wide Behavioral Change
  • 1 Introduction
  • 1.1 Household Related Air Pollution
  • 1.2 Air Pollution Representation
  • 1.3 Augmented Reality
  • 2 VAPE Augmented Reality App Design
  • 2.1 Purpose of the AR Application
  • 2.2 Accompanying Poster
  • 2.3 Implementation of Air Pollution Visual Representation
  • 2.4 Application Development and Implementation
  • 3 Pretest Results
  • 4 Conclusions
  • References
  • Ukrainian Version of the Copresence Scale
  • 1 Introduction
  • 2 Theoretical Context
  • 2.1 War Migration from Ukraine in Poland
  • 2.2 Copresence
  • 2.3 Mediated Communication and War Migration
  • 3 Method
  • 3.1 Sample and Data Collection
  • 3.2 Measures
  • 3.3 Data Analysis
  • 4 Results
  • 4.1 Descriptive Statistics
  • 4.2 Validation of the Ukrainian Perceived Copresence Scale (PCS-U)
  • 5 Discussion
  • References
  • Modular Platform for Teaching Robotics
  • 1 Motivation
  • 2 Observations
  • 3 Idea
  • 4 Construction
  • 5 Algorithm's Working Principles
  • 6 Tests
  • 7 Conclusions
  • References
  • A Method for Co-designing Immersive VR Environments with Users Excluded from the Main Technological Discourse
  • 1 Introduction
  • 2 Related Work
  • 3 RAPID Approach Outline
  • 3.1 I. Preliminary Phase: Team Formation
  • 3.2 II. Main Phase: RAPID IERE Development
  • 3.3 III. Closing Phase: XR Product Delivery and Testing
  • 4 Discussion
  • 4.1 Phase I: Team Formation
  • 4.2 Phase II Development
  • 4.3 Phase III Closing
  • 4.4 Other Considerations
  • 4.5 General Discussion
  • 5 Conclusions
  • References
  • Improving the Usability of Requests for Consent to Use Cookies
  • 1 Introduction
  • 2 Privacy and Security Regulation
  • 3 Dark Patterns in Cookies Consent Requests
  • 4 Evaluation of Consent Requests in Lithuanian News Portals
  • 5 Design Guidelines for Cookie Consent Requests.
  • 6 Conclusions
  • References
  • Transdisciplinary Approach to Virtual Narratives - Towards Reliable Measurement Methods
  • 1 Introduction: Motivation and Related Work
  • 2 Overview of the Cinematic VR Research Method
  • 2.1 The Research Application
  • 2.2 Screening
  • 2.3 Measures Used Before VR Experience
  • 2.4 Baseline Measures
  • 2.5 Cinematic VR Experience Test
  • 2.6 Measures Applied After VR Experience
  • 2.7 Digital Markers Calibration
  • 3 Current Research - Method
  • 3.1 Participants
  • 3.2 Materials and Apparatus
  • 3.3 Procedure
  • 4 Results
  • 4.1 User Experience - Experimental Setting and Equipment Evaluation
  • 4.2 User State - Emotion, Arousal and Control
  • 4.3 Presence
  • 5 Discussion
  • 6 Conclusions
  • References
  • Towards Gestural Interaction with 3D Industrial Measurement Data Using HMD AR
  • 1 Introduction
  • 2 Related Work
  • 2.1 Gestural Interaction and Data Visualization in AR Systems
  • 2.2 Augmented Reality in an Industrial Setting
  • 3 Experimental Study Description
  • 4 Results Overview
  • 5 Discussion and Conclusions
  • References
  • Polish Adaptation of the Cybersickness Susceptibility Questionnaire (CSSQ-PL)
  • 1 Introduction
  • 1.1 Measuring Cybersickness
  • 1.2 Predicting Cybersickness
  • 2 Method
  • 2.1 Participants and Apparatus
  • 2.2 Measures
  • 2.3 Stimuli and Procedure
  • 2.4 Validation
  • 3 Results
  • 3.1 Language Adaptation
  • 3.2 Reliability
  • 3.3 Distributions
  • 3.4 Validity
  • 4 Discussion and Future Directions
  • References
  • Special Session: Advances in Collaborative Robotics
  • NARX Recurrent Neural Network Model of the Graphene-Based Electronic Skin Sensors with Hysteretic Behaviour
  • 1 Introduction
  • 2 Graphene-Based Electronic Skin
  • 3 Neural-Network Modelling
  • 4 Results
  • 4.1 Research Method
  • 4.2 Modelling
  • 4.3 Discussion
  • 5 Summary
  • References.
  • Proximity Estimation for Electronic Skin Placed on Collaborative Robot Conductive Case.

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