HelsinCHI is a network of HCI researchers from different research groups devoted to fostering Human-Computer Interaction research and its impact in the Helsinki area.

HCI is the Helsinki area has an important heritage in design approaches , experience design (see also the Aalto Experience Platform), human centredness, and mobile/ubiquitous interaction. A particular focus and excellence is computational interaction including intelligent user interfaces, interactive AI and machine learning (with a strong link to FCAI the Finnish Center for Artificial Intelligence).

We meet on a monthly basis in the HelsinCHI seminar (facebook page of the seminar)  to discuss early-stage ideas and ongoing work. We host talks from internationally renowned researchers and we seek intellectual exchange with anyone passionate about HCI in particular practitioners and industry.  We also provide prospective students with the opportunity to build a strong HCI foundation through the offering of a variety of HCI related teaching programs.

This site is a static repository of information on HelsinCHI. If you are an HCI researcher in Helsinki area,  Facebook group to get news about our activities.

Here a booklet of our main contributions to ACM CHI 2019.

ACM Distinguished Speaker Lecture

Professor Aaron Quigley St Andrews”Immersive Analytics ” co-sponsored by ACM https://speakers.acm.org/

16:00-17:00 29th of January 2019  Exactum, A111.  Pietari Kalmin katu 5, Helsinki.


Professor Aaron Quigley is the Chair of Human Computer Interaction in the School of Computer Science at the University of St Andrews in Scotland. He is co-founder of SACHI, the St Andrews Computer Human Interaction research group. His research interests include discreet computing, global HCI, pervasive and ubiquitous computing and information visualisation on which he has delivered over 50 invited talks. 

Aaron is the director of the Scottish Informatics and Computer Science Alliance (SICSA) which is a collaboration of 14 Scottish Universities. In addition, he is a general co-chair for the ACM CHI conference in Yokohama Japan in 2021 and is the outgoing ACM SIGCHI Vice President for Conferences.
Immersive Analytics 
Human activity (in all its forms) can result in large volumes of data being collected and simply stored in the hope that one day it can be analysed and explored. From business to health records, or experiments to environmental monitoring, the rate at which we can collect and store data continues to outstrip the provision of tools for the effective analysis and exploration of such data. Yet this problem is not new and many questions arise from the legal retention of data to how analysis of such data may reveal new insights.
When we perform an analysis we engage in a detailed examination of the elements or structure of a problem, situation or object. This examination involves the identification and measurement of the constituent parts of the elements or structure, which gives rise to pieces of information or, data. The systematic computational analysis of such data gives rise to analytics, which provides insights into the data from which one can take action. Common reasons for applying analytics is to improve financial management and budgeting, operations and production, strategy and business development and sales and marketing. Data analysis and computational analysis, or analytics, is commonplace today. 
Immersive Analytics is an emerging field of research and development which seeks a deeper engagement with the analysis and data. It draws on the various meanings of the term immersive coupled with the different approaches to analytics, giving rise to slightly different interpretations. There are two primary facets related to the term immersive analytics. The first, and more literal aspect, is to be immersed or submerged in the data and analytic task. This gives rise to the examination of the range of human senses, modalities and technologies which might allow one to have their various senses fully immersed. A second facet, is the provision of computational analysis methods which facilitate a deep mental involvement with the task and data. Smooth interaction with the data and analytic task might allow people to concentrate and focus their attention, allowing them to enter a “flow state” which affords them the depth of thought required to be fully immersed.

The network is currently coordinated by Giulio Jacucci (giulio.jacucci helsinki.fi)

User Interfaces – Our mission is to identify and exploit optima of human-computer performance. We formulate interface design problems as optimization tasks, develop predictive modeling of interaction, and implement computational methods for interface design. Professor Antti Oulasvirta, Aalto University.
Ubiquitous Interaction – We carry out interaction design and studies in the area of multimodal interaction and physiological computing. We are particularly interested in information discovery , behaviour change and wellbeing. Professor Giulio Jacucci, University of Helsinki
Art & Magic – We develop technology for sound, motion and interactive installations. Our goal is natural interaction – not using computers but living with them. Part of this mission is to build human behavior and capabilities in computers, and also study how humans perceive these virtual agents. Professor Tapio “Tassu” Takala, Aalto University
Social Interaction and Emotion – The mission of SIE is to increase our understanding of ICT-mediated social interaction. Professor Niklas Ravaja. University of Helsinki
STRATUS –  The Strategic Usability Research Group STRATUS is doing research and providing teaching in usability engineering and user-centred design. The aim in our research is to study and develop methods and tools that are used to uncover user’s needs, capabilities, expectations and experiences that affect the usage of products and consumption of services. Professor Marko Nieminen, Aalto University Aalto
Game Research –  Present focus: human movement, including exergames, procedural animation, animation interfaces. Focus adapts based on who is working in the group – true innovation grows bottom-up. Professor Perttu Hämälainen, Aalto University.

For job seekers

For doctoral students


EIT Digital, Aalto University EIT Master’s in ICT Innovation Human-Computer Interaction and Design  A two-year Master’s programme in two sites in Europe. Aalto University has specialization in computational interaction’

Aalto University Aalto Master’s Programme in Computer, Communication, and Information Sciences (CCIS) Human-Computer Interaction  A new Master’s programme with focus on computational, engineering, and user interface technology.

Aalto University M.A. in New Media Major: Game Design and Production  The same major is offered in CCIS and M.A. in New Media programs with slightly different obligatory courses, one leading to M.Sc. degree and the other to M.A. degree.

University of Helsinki Master in Data Science  and the module in Human-Computer Interaction Master in Computer Science.

Contact us!