Autotelic Interaction Research
The Autotelic Interaction Research (AIR) group seeks to understand, model and support self-directed behaviour in AI, in people, and in their interaction.
Human-centric computing
Human-Centric Computing (HCC) is a research area at the intersection of computing, interaction technologies, and human-centered design. It utilizes transdisciplinary approaches to critically research, design, develop, and evaluate both current and emerging technologies (as well as the behaviors, processes, models, practices, and experiences surrounding them) across human, artificial, and non-human actors, while assessing impacts on individuals, society, and ecosystems. The field draws on scholarship and practice from computer science, cognitive science, psychology, sociology, anthropology, media and the arts, design, education, ethics, public policy, and related areas.
Research Area Leaders
Giulio Jacucci
Research Area Leader
People
Talayeh Aledavood
behavioral sensing, digital traces, digital phenotyping, mental health and wellbeing, data science
Johannes Arend
Spatial Audio, Psychoacoustics, Hearing Science, Virtual Acoustics, Perception, XR, VR, AR
Tom Bäckström
privacy-preserving speech technology, trust in speech technology, design of speech interfaces, low-resource speech processing, speech enhancement, speech coding
Christian Guckelsberger
intrinsic motivation, creativity, reinforcement learning, human-computer interaction
Dorota Glowacka
interactive information retrieval; recommender systems; human-computer interaction; human-AI interaction; interactive systems
Petter Holme
computational social science, AI and society
Perttu Hämäläinen
games, HCI, XR, VR, AI
Mikko Kivelä
network science, computational social science
Juhi Kulshrestha
Computational Social Science, Online Behaviour, Digital Wellbeing, Polarization and Mental Health
Juho Leinonen
computing education, AI in education, educational technology, learning analytics
Janne Lindqvist
human-computer interaction, HCI, good life, well-being
Matti Siekkinen
streaming, XR, cloud computing
Xiang Su
Edge Intelligence, Mobile Computing, Extended Reality
Johanna Viitanen
usability, user experience, human-centred design, health informatics, eHealth
Yu Xiao
wearable computing, edge computing, extended reality
Aalto Good Life Lab
Aalto Good Life Lab
Computational Social Science
We are the Computational Social Science research group in the Computer Science Department at Aalto University. We combine ideas and methods both from computer sciences and the social sciences to solve societally relevant problems. Our primary research interest lies in utilizing digital behavioral data to study our internet mediated lives. Through a blend of diverse data sources and research methods, we examine human behavior on the web and its influence on individual’s opinions, attitudes and behaviors both online and offline.
DigiTraces Lab
Our mission is to develop new methodologies and tools to quantify people’s behavior and turn these traces into insights about their mental and physical health and well-being. To this end, we run privacy-aware studies to collect digital traces from individuals and populations. These data may come from personal devices such as smartphones and fitness trackers or online traces such as web browser activity or social media. We develop new computational methods, stemming from different domains, from statistical and machine learning to natural language processing and large language models, depending on the needs of each project and the application domain.
Game Research Group
The game research group works on gameplay innovation, understanding player experience, and developing novel game creation tools.
Human-Centred Health Informatics (HCHI)
The HCHI group brings together research enthusiasts from various fields such as engineering, design, medicine, nursing and psychology.
Our research group focuses on
- Human-centred design of electronic health (eHealth) services
- Patient experience
- Usability of electronic health record (EHR) systems
- User experiences of health and social care professionals
- Usability in IT system procurement
Speech Interaction Technology
Our goal is to improve spoken interaction, in applications such as telecommunication and speech interfaces. We develop methods which are efficient and sustainable with respect to resources and provide high sound quality and intuitive interaction while simultaneously retaining the privacy and trust of users. A particular area of interest is environments where multiple people interact with multiple devices, which requires advanced methods for communication, authentication, and processing.
Technical Psychoacoustics
The Technical Psychoacoustics research group works at the intersection of technical developments in virtual acoustics and spatial audio, the perceptual evaluation of these technologies, and their application in hearing science.
mc² –Mobile Cloud Computing
The mc² –Mobile Cloud Computing group at Aalto University, founded in 2016, conducts experimental systems research on edge computing and services for cognitive manufacturing, autonomous driving and digital healthcare. With members from technically diverse backgrounds, the mc² group is active in multi-disciplinary research and industrial collaboration.
Exploratory Search and Personalisation (ESP)
We work on the intersection of information retrieval, artificial intelligence and human-computer interaction. In particular, we focus on all aspects of recommendation, user modelling and personalisation. We are part of the Department of Computer Science at the University of Helsinki.