Human-Computer Interaction

The discipline of Human-Computer Interaction (HCI) involves knowledge and understanding of the system interfaces and the humans that interacts with them. The aim of this research area is to be able to build interfaces that work, and to evaluate them. Achieving this goal, requires a thorough understanding of the abilities and constraints of the people using computer interfaces.

Models and theories applied in the field of HCI come from a range of different areas, like psychology, sociology and computer science, in addition to some theories developed specifically for HCI.

In this course, the student will be introduced to theories and frameworks commonly used in the area of HCI, in addition to becoming familiar with typical research issues and challenges studied in the field. The students will learn how to write a reaction paper.

Most interactions with the physical world involve several senses, along with the motor system. Similarly, many digital services are designed for natural experiences and intuitive interactions, aiming to accommodate human perception, performance and cognition.

Multimodal interfaces process and align two or more combined user input modes, such as speech, touch, manual gesture, gaze, and head and body movements. The inputs are in turn processed and coordinated with multimedia system output, be it audio-visuals or even scents or haptic stimuli. These interfaces aim to recognise naturally occurring forms of human language and behaviour, which incorporate one or more recognition-based technologies (e.g. speech, pen, vision).

This course will give students a theoretical and practical introduction to multimodal communication and different types of HCI interfaces. The main focus of the course is to make students familiar with techniques for

• user input, such as speech recognition, touch screens or eye and gesture tracking,
• computer output, such as unconventional display devices, speech synthesis, sounding objects and haptic devices.

In particular, the effects of combining different modalities, as well as the related technological challenges, are addressed.

This module focuses on advanced topics in interaction design, exploring the various interfaces through which humans interact, and the characteristics of how human interaction is perceived as intuitive. The course will explore the sequential character of user experience based on the fields of Service Design and Design Thinking. The student will gain knowledge in the process from gathering user requirements, to design and implementation through lab-oriented development-methods.

The main aim of this course is to provide students with the fundamental knowledge of ethics and sustainability necessary for responsible innovation and the development of new information technologies (IT) in the modern society. The central topics include the role of ethics in responsible innovation and IT development; information privacy concerns, social, economic, and environmental impacts of innovations and new ITs; and how IT development and innovation can contribute to achieving the UN Sustainable Development Goals. In covering ethical and sustainability issues, the course addresses the perspectives of various stakeholders at the individual level (IT developers, innovators, consumers, investors), the organizational level (commercial, public, and non-governmental organizations), and the societal level (local and regional communities, nations, international society). Group work on possible solutions to real-life ethical and sustainability challenges constitutes an essential part of the course.

This course aims for the students to understand user interfaces (UI) from a theoretical and design perspective, while also gaining competence in basic UI programming. This knowledge will be enhanced with what happens "under the hood" behind the UI in the back-end of a computer system in terms of computer architecture and object-oriented software design. In practical skills the candidates will be required to design, implement and test/evaluate prototypes, through their developed user interfaces, chosen input/output techniques and executable programs. After successful completion of the course it is expected that the student will be able to critically reflect on contemporary themes within UI and work with cutting edge UI research literature.

The overall objective of this course is to help students conceptualize and prepare a timely and relevant research proposal, and to nurture a sense of inquisitiveness and active participation in research. The course aims at offering insight into the process behind a successful research project. It has an applied approach that involves collaborative and reciprocal partnerships between the university (faculty, staff, and/or students) and external communities for the mutually beneficial exchange of knowledge and resources. The research proposal forms the basis for the master thesis and the allocation of supervisor(s).

This course is intended as a master level introduction to research methodology and the research process. This introduction gives the students an overview of the basic concept, methods, and practice of research.

Research is a cyclical process where new and carefully planned investigations build and extend on established work. The aim is to provide students with a fundamental understanding of research as a conceptual, empirical, and practical approach to gathering new insight and knowledge. The content provides a broad overview of how researchers work within the fields of economy, innovation, and technology. It presents students with relevant methods from these domains, along with their possibilities and limitations.

Students will learn a systematic approach to empirical investigation, including literature search, research design and methodology, qualitative and quantitative analyses, and the presentation and evaluation of results.

At completion of the course, students will be able to study and interpret existing research on a topic and suggest approaches to broaden or deepen knowledge within a given topic.

Students will gain knowledge about theoretical principles and computational techniques for visual analytics. The course will enable students to design, demonstrate and evaluate information dashboards for organizations. The students will be able to reflect on the different models, theories, and frameworks for technology integration from a visual analytics perspective.

Central topics include applied computer science.