Portfolio
Anniki S. Edén
Interaction Designer/HCAI/Research/Social Robotics
Research Interests
Anniki Skeidsvoll Edén is an interaction designer and holds an M.Sc. in Informatics from Kristianstad University, Sweden. Her research interests focus on human-AI interaction, social AI, social learning, affective computing, multimodal behaviors, and personalized adaptive AI agent approaches.
Published paper
VoiceBack: Design of Artificial Intelligence Driven Voice-Based Feedback System for Customer-Agency Communication in Online Travel Services
Education
2025 | Uppsala University | 5 credits
Advanced Interaction Design
Interaction design is about creating better interactive products, with a starting point in people and their needs.
2025 | Halmstad University | 3 credits
Human-centered Design for AI
Opportunities for Human-Centered Design and AI, which explores design challenges and opportunities in areas such as human augmentation, robotics, AI ethics, service design, and innovation, ending with strategies for application and implementation.
2025 | Uppsala University | 15 credits
Non-Excluding Design and Evaluation
The course addresses different kinds of impairments, their implications for individuals, and how it is possible to take the impairments into account when developing different kinds of supportive tools.
2024 | Halmstad University | 3 credits
Research Methods for Human-Machine Cooperation
The course builds on from works for design-oriented research and development with a focus on stakeholder centric design. The emergence of AI-based services implies new design challenges - e.g., that a digital service changes its behavior over time, and the need for explainability of information content and recommendations.
2024 | Halmstad University | 7.5 credits
Artificiell Intelligence (AI) as a Phenomenon in Education: Links Between Education, Knowledge and Technology
The course explores how artificial intelligence (AI), algorithms, and automation function as pedagogical phenomena and how these technologies influence and shape individuals. It examines the interplay between education, knowledge, and technology from historical, political, and cultural perspectives, with a foundation in pedagogy and technology studies. Current issues related to digitalization and applications concerning education and knowledge are critically examined about governance, equality, sustainability, and ethics. Thus, the course brings to light questions of responsibility and justice for education and other pedagogical activities in the context of emerging digital technology and its implications for education and learning in the past, present, and future.
2024 – 2025 | Uppsala University | 120 credits
Master's Program in Information Systems
• Social Science Research Methods for Studying the Digital Society • Designing for Digital Innovation • Contemporary Software Development • Artificial Intelligence and Machine Learning • Economics of Digital Technologies in Organisations • Big Data • Digital Infrastructure • Agile Methods
2023 – 2024 | Kristianstad University | 60 credits
Degree of Master in Informatics and Digital Design
Courses in AI, big data, critical design, and independent design projects.
2023 | Södertörn University | 7.5 credits
AI and Machine Learning for User Experience Design
The course addresses the use of technologies and tools for AI and machine learning within the context of interaction and experience design. The focus is on how such technologies can be understood as a design material in the creation of interactive experiences, as well as related ethical issues. Design and critically evaluate design proposals where AI and machine learning are used within the framework of interaction and experience design. Analyze and discuss how AI and machine learning can be used to design interactive user experiences and identify implications for existing design practices. Determine the applicability of different machine learning methods for various types of problems, and explain the strengths and weaknesses of these methods. Explain and analyze the relationship between the quality and scope of training data, machine learning, and the expected performance of an AI system.
2023 | Uppsala University | 7.5 credits
Social Robotics and Human-Robot interaction
Theories, methods, and paradigms for human-robot interaction. Interaction techniques and interaction design for human-robot interaction. Programming robot behaviors for human-robot interaction. Analysis of user needs and creation of prototypes for social robots. Evaluation of human-robot interaction. Applications of human-robot interaction. Robots and ethics.
2022 – 2023 | Kristianstad University | 180 credits
Bachelor program in Digital design
Interaction Design