Na fotografiji: v ospredju Peter Boštjančič (Brivec Šu Fu), Milada Kalezić (Šen Te), Kristijan Ostanek (Jang Sun)
Režiserka Ivana Vujić, premiera 6. 3. 2004, Drama SNG Maribor
Na fotografiji: Sonja Blaž (Gospa Jang), Kristijan Ostanek (Jang Sun), Milada Kalezić (Šen Te)
Režiserka Ivana Vujić, premiera 6. 3. 2004, Drama SNG Maribor
Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Since the first edition was ...published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researcher's toolkit. Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology. This Research Methods in HCI revision contains updates throughout, including more detail on statistical tests, coding qualitative data, and data collection via mobile devices and sensors. Other new material covers performing research with children, older adults, and people with cognitive impairments. * Comprehensive and updated guide to the latest research methodologies and approaches, and now available in EPUB3 format (choose any of the ePub or Mobi formats after purchase of the eBook) * Expanded discussions of online datasets, crowdsourcing, statistical tests, coding qualitative data, laws and regulations relating to the use of human participants, and data collection via mobile devices and sensors * New material on performing research with children, older adults, and people with cognitive impairments, two new case studies from Google and Yahoo!, and techniques for expanding the influence of your research to reach non-researcher audiences, including software developers and policymakers
This book is an anthology of present research trends in Computer-mediated Communications (CMC) from the point of view of different application scenarios. Four different scenarios are considered: ...telecommunication networks, smart health, education, and human-computer interaction. The possibilities of interaction introduced by CMC provide a powerful environment for collaborative human-to-human, computer-mediated interaction across the globe.
Sketching User Experiences approaches design and design thinking as something distinct that needs to be better understood—by both designers and the people with whom they need to work— in order to ...achieve success with new products and systems. So while the focus is on design, the approach is holistic. Hence, the book speaks to designers, usability specialists, the HCI community, product managers, and business executives. There is an emphasis on balancing the back- end concern with usability and engineering excellence (getting the design right) with an up-front investment in sketching and ideation (getting the right design). Overall, the objective is to build the notion of informed design: molding emerging technology into a form that serves our society and reflects its values. Grounded in both practice and scientific research, Bill Buxton's engaging work aims to spark the imagination while encouraging the use of new techniques, breathing new life into user experience design. * Covers sketching and early prototyping design methods suitable for dynamic product capabilities: cell phones that communicate with each other and other embedded systems, "smart" appliances, and things you only imagine in your dreams * Thorough coverage of the design sketching method which helps easily build experience prototypes—without the effort of engineering prototypes which are difficult to abandon * Reaches out to a range of designers, including user interface designers, industrial designers, software engineers, usability engineers, product managers, and others * Full of case studies, examples, exercises, and projects, and access to video clips that demonstrate the principles and methods
In the not so distant future, we can expect a world where humans and robots coexist and interact with each other. For this to occur, we need to understand human traits, such as seeing, hearing, ...thinking, speaking, etc., and institute these traits in robots. The most essential feature necessary for robots to achieve is that of integrative multimedia understanding (IMU) which occurs naturally in humans. It allows us to assimilate pieces of information expressed through different modes such as speech, pictures, gestures, etc.
The book describes how robots acquire traits like natural language understanding (NLU) as the central part of IMU. Mental image directed semantic theory (MIDST) is its core, and is based on the hypothesis that NLU is essentially the processing of mental image associated with natural language expressions, namely, mental-image based understanding (MBU). MIDST is intended to model omnisensory mental image in human and to afford a knowledge representation system in order for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities such as humans and robots based on a mental image model visualized as ‘Loci in Attribute Spaces’ and its description language L md (mental image description language) to be employed for predicate logic with a systematic scheme for symbol-grounding. This language works as an interlingua among various kinds of information media, and has been applied to several versions of the intelligent system interlingual understanding model aiming at general system (IMAGES). Its latest version, i.e. conversation management system (CMS) simulates MBU and comprehends the user’s intention through dialogue to find and solve problems, and finally, provides a response in text or animation.
The book is aimed at researchers and students interested in artificial intelligence, robotics, and cognitive science. Based on philosophical considerations, the methodology will also have an appeal in linguistics, psychology, ontology, geography, and cartography.
Key Features:
Describes the methodology to provide robots with human-like capability of natural language understanding (NLU) as the central part of IMU
Uses methodology that also relates to linguistics, psychology, ontology, geography, and cartography
Examines current trends in machine translation
Table of Contents:
Introduction
Anna - an ideal home robot
Intuitive human-robot interaction
Integrative multimedia understanding and natural language understanding
Knowledge and cognition
Natural Language Processing Viewed from Semantics
Trends in machine translation
Case study of current MT systems (as of October, 2018)
Fundamentals for Robotic NLU
NLU in accordance with semiotics
Syntactic analysis
Semantic analysis and pragmatic analysis
Robust NLU
Response synthesis
Syntax and semantics of discourse
Cognitive Essentials for Midst
Functional model of human mind
Human knowledge and cognitive propensities
Semantics and mental image
QSIs (quasi-symbolic images) and human concept system
Primitive quasi-symbolic images
Perception of causality
Semantic articulation and QSI connectors
Negation of mental image
Imaginary space region
Computational Model of Mental Image
Atomic locus as primitive QSI
Temporal conjunctions as QSI connectors
Empty event
Attributes and Standards
Formal System
Semantic principle of L md
Syntax of L md
Tempo-logical connectives
Formulation of event concepts
Formulation of laws of the world
Fundamental Postulates and Inference Rules for Deductive System
Properties of Loci
Inference rules for deduction
Tempo-logical deduction with TLCs
Human-Specific Semantics of 4d Language as Mental Images
Conventional approaches to 4D language understanding
4D language semantics as mental images
Formulation of concepts of spatial prepositions
Properties of static 4D concepts as human intuitive mental images
Reversal operation on spatial change event concepts as mental images
Problem Finding and Solving in Formal System
Definition of problem and task
Creation problem finding and solving
Maintenance problem finding and solving
Human Language Understanding by Robots
Two-staged robotic NLU
Robotic concept system for iHRI
Compound concept system for robots
Robot manipulation as cross-media operation via L md
Aware computing in robots
Homogeneous/Inhomogeneous Communication
4d Language Understanding for Cognitive Robotics
Requirements for robotic NLU
Logical Adequacy of L md
Translation between NL and L md
Reasoning in L md
Anchoring via L md
Behavioralization via L md
Systematic interpretation of L md
Multilingual Operation Via L md
Meaning definition
Optimization of grammatical description for word meaning definition
Language operation via L md
Question answering through L md
Computational Model of Japanese for NLU
Brief description of basic Japanese
Phrase structure grammar for Japanese
Dependency grammar for Japanese
Sentence and discourse of Japanese
Sentence types of Japanese and phrasing
Implementation of Mental-Image Based Understanding
Configuration of CMS
MBU versus conventional NLU
Stimulus sentences to CMS and human subjects
Mental image based understanding by CMS
Problem finding and solving in CMS
Awareness control of CMS
Conclusions
References
This is an excellent resource for scientists and engineers looking to develop a deep natural language understanding system for application in robotics, currently one of the most critical areas of development for artificial intelligence technologies. The book is very well written and easy to follow for readers with a good background in artificial intelligence or natural language processing. The considerable number of examples and diagrams included make this volume particularly valuable for students. The examples illustrating machine understanding of Japanese offer an exciting bonus for readers engaged in machine translation or computational linguistics.
-- J. Brzezinski, McHenry County College, Choice, 2020 Vol. 58 No. 2
Masao Yokota received a Bachelor degree from Kyushu Institute of Technology, and Master and Doctor degrees from Kyushu University. He is now a professor of informatics at Fukuoka Institute of Technology. His research focus is on AI, especially in integrative multimedia understanding by robots in being as 'natural' as humans where natural language understanding (NLU) plays the central role. He has proposed 'Mental Image Directed Semantic Theory (MIDST)' based on a hypothesis that NLU in humans is mental image processing. MIDST provides an omnisensory mental image model and a formal language called ' L md (Language for Mental Image Description)'. This formal language has been already implemented on several versions of the intelligent system IMAGES including integrative multimedia understanding system IMAGES-M and conversation management system CMS. Dr. Yokota has authored numerous articles on AI and was the leader of many projects funded by Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT), and Fukuoka Institute of Technology (FIT).
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