Portugal

Artificial Intelligence (AI) has become the buzzword of the last decade. Advances so far have been largely technical and only recently have we been seeing a shift towards focusing on human aspects of artificial intelligence. Particularly the notion of making AI interactive and explainable are in the center, which is a very narrow view. In the talk, I will suggest a definition for “Interactive Human Centered Artificial Intelligence” and outline the required properties to start a discussion on the goals of AI research and the properties that we should expect of future systems. It is central to be able to state who will benefit from a system or service. Staying in control is essential for humans to feel safe and have self-determination. I will discuss the key challenge of control and understanding of AI based systems and show that levels of abstractions and granularity of control are a potential solution. I further argue that AI and machine learning (ML) are very much comparable to raw materials (like stone, iron, or bronze). Historical periods are named after these materials as they have change what humans can build and what tools humans can engineer. Hence, I argue in the AI age we need to shift the focus from the material (e.g. the AI algorithms, as there will be plenty of material) towards the tools that are enabled and that are beneficial for humans. It is apparent that AI will allow the automation of mental routine tasks and that it will extend our ability to perceive things and foresee events. For me, the central question is how to create these tools for amplifying the human mind, without compromising human values.

CHIRA 2021

Interactive Human Centered Artificial Intelligence: A Definition and Research Challenges

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


ICPR 2020

keynote

The purpose of the International Conference on Computer-Human Interaction Research and Applications (CHIRA) is to bring together professionals, academics and students who are interested in the advancement of research and practical applications of interaction design & human-computer interaction. Five tracks cover different aspects of Computer-Human Interaction, including Interaction Design, Human Factors, Entertainment, Cognition, Perception, User-Friendly Software and Systems, Pervasive Technologies and Interactive Devices.

CONFERENCE AREAS<br>
1 . Human Factors and Information Systems<br>
2 . Interactive Devices<br>
3 . Interaction Design<br>
4 . Adaptive and Intelligent Systems

The purpose of the International Conference on Computer-Human Interaction Research and Applications (CHIRA) is to bring together professionals, academics and students who are interested in the advancement of research and practical applications of interaction design & human-computer interaction.

In augmented reality, we integrate virtual content with the real world. This requires alignment between the virtual content and the real world. Although the virtual content can address all of our senses, in augmented reality research the focus has been on sight because of it being a dominant sense and because many useful augmented reality applications can be designed from a vision-oriented point of view. Virtual content can as well address the tactile, gustatory, olfactory, and auditory senses, address multisensorial experiences, and can induce crossmodal experiences. Human perception is multisensorial. What does this mean if we introduce virtual humans in augmented reality? In this talk, we consider several types of problems and challenges associated with alignment as we move away from more traditional, only the sight-sense addressing AR applications.

Alignment in Augmented Reality: Beyond Sight

Computers, smartphones and smart watches are generally considered tools that enhance productivity. But while they have put the world’s knowledge at our fingertips, people need additional skills in order to be successful and realize their goals. Maes' work explores how future personal devices may help us with cognitive skills such as attention, motivation, behavior change, memory, creativity, and emotion regulation. Her interdisciplinary research group is inspired by literature from Brain and Cognitive Sciences, makes use of sensor and machine learning technology, and adopts a human-centered Design approach to create and study new wearable and immersive systems that can help people strengthen some of these “soft skills.” While doing so, the group aims to be mindful of ethical and social issues that are critical in designing highly personal enhancement systems.

Interactive Human Centered Artificial Intelligence: A Definition and Research Challenges

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Alignment in Augmented Reality: Beyond Sight

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