Digital Interaction and Machine Intelligence

1. Front Matter

   Pages i-viii

   PDF

2. Machine Intelligence

   1. Front Matter

      Pages 1-1

      PDF

   2. Neural Machine Translation for Turkish to English Using Deep Learning

      • Fatih Balki, Hilmi Demirhan, Salih Sarp

      Pages 3-9

   3. Text Similarity Detection Using Machine Learning Algorithms with Character-Based Similarity Measures

      • Emil Kalbaliyev, Samir Rustamov

      Pages 11-19

   4. Palm Tree Detection in Drone Images Using Deep Convolutional Neural Networks: Investigating the Effective Use of YOLO V3

      • R. Y. Aburasain, E. A. Edirisinghe, Ali Albatay

      Pages 21-36

   5. Training and Evaluation of Word Embedding Models for Azerbaijani Language

      • Kamran Huseynov, Umid Suleymanov, Samir Rustamov, Javid Huseynov

      Pages 37-48

   6. Determining Geo-location of Tweets Using Cognitive Intelligence

      • Aishwarya Asesh

      Pages 49-57

   7. Prediction of Locations Using Unsupervised Learning Method to Open a Restaurant Branch

      • R. Hariharan, Arish Pitchai, M. Dhilsath Fathima

      Pages 59-71

   8. A Framework to Support Creation of AI Applications for Low-Power WSN Nodes

      • Krzysztof Turchan, Krzysztof Piotrowski

      Pages 73-78

   9. Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment

      • Muhammad Ali Farooq, Ammar Ali Khan, Ansar Ahmad, Rana Hammad Raza

      Pages 79-88

3. Digital Interaction

   1. Front Matter

      Pages 89-89

      PDF

   2. Interpersonal Distance in VR: Reactions of Older Adults to the Presence of a Virtual Agent

      • Grzegorz Pochwatko, Barbara Karpowicz, Anna Chrzanowska, Wiesław Kopeć

      Pages 91-100

   3. UX in Virtual Reality. Qualitative Assessment Based on a Range of Applications

      • Zbigniew Bohdanowicz, Jarosław Kowalski, Daniel Cnotkowski, Agata Kopacz, Cezary Biele

      Pages 101-113

   4. Patterns of Digital Users’ Irrationality in the Moment of Digital Transformation of the Media

      • Piotr Toczyski, Grzegorz Banerski

      Pages 115-124

   5. All Factors Should Matter! Reference Checklist for Describing Research Conditions in Pursuit of Comparable IVR Experiments

      • Kinga Skorupska, Daniel Cnotkowski, Julia Paluch, Rafał Masłyk, Anna Jaskulska, Monika Kornacka et al.

      Pages 125-133

   6. A Learning Analytics Case Study: Relation of Students Learning Approach to Online Learning Environment Behaviours

      • Gulustan Dogan, Seydi Alkan, Alper Bayazit, Gözde M. Demirci

      Pages 135-148

   7. Deploying Crowdsourcing for Workflow Driven Business Process—A Brief Proposal

      • Rafał Masłyk, Kinga Skorupska, Piotr Gago, Marcin Niewiéski, Barbara Karpowicz, Anna Jaskulska et al.

      Pages 149-157

   8. Exploration of Voice User Interfaces for Older Adults—A Pilot Study to Address Progressive Vision Loss

      • Anna Jaskulska, Kinga Skorupska, Barbara Karpowicz, Cezary Biele, Jarosław Kowalski, Wiesław Kopeć

      Pages 159-168

   9. Copresence and Well-being in the Time of Covid-19: Is a Video Call Enough to be and Work Together?

      • Justyna Świdrak, Grzegorz Pochwatko, Piotr Matejuk

      Pages 169-178

   10. Technology Enables Struggling with Everyday Life’s Chores: Working Women with Two or More Small Children Are Confident Technology Users

       • Grzegorz Banerski, Gabriela Górska, Piotr Toczyski, Katarzyna Abramczuk

       Pages 179-188

This book presents the Proceedings of MIDI’2020 – 8th Machine Intelligence and Digital Interaction Conference, December 9–10, 2020, Warsaw, Poland, held online. The rapid development of artificial intelligence (AI) and its growing applications in many fields, such as intelligent voice assistants, e-commerce (chatbots) or navigation, make end users increasingly exposed to such systems. In a world where technological solutions based on artificial intelligence are created by people for people, the final success or failure of a newly created product depends on the focus on human needs. Therefore, it is important to integrate so far independent scientific areas: broadly defined artificial intelligence and human–technology interaction. This book is intended for specialists in the above fields and attempts to integrate the perspectives of engineers and social scientists. The book is a source of inspiration as well as practical and theoretical knowledge for all readers interested in new trendsin the field of user-centered AI solutions.

• Computational Intelligence
• AI
• MIDI 2020
• MIDI
• Machine Intelligence
• Digital Interaction

• National Research Institute, National Information Processing Institute, Warsaw, Poland

  Cezary Biele

• Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

  Janusz Kacprzyk, Jan W. Owsiński

• Institute of Applied Computer Science, Łódż University of Technology, Łódź, Poland

  Andrzej Romanowski

• Faculty of Management and Economics, Gdańsk University of Technology, Gdańsk, Poland

  Marcin Sikorski

Policies and ethics