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Organisational unit

  • Faculty of Information Technology and Electrical Engineering (1) Apply Faculty of Information Technology and Electrical Engineering filter

Keywords

  • (-) Remove Humanities filter Humanities
    • Media and communications (1) Apply Media and communications filter
    • Society, interaction, information (1) Apply Society, interaction, information filter
  • (-) Remove Technology filter Technology
    • (-) Remove Computer science filter Computer science
      • (-) Remove design science research filter design science research
      • (-) Remove wearable ICT filter wearable ICT
      • artificial intelligence (1) Apply artificial intelligence filter
      • gamification (1) Apply gamification filter
      • human–machine interaction (1) Apply human–machine interaction filter
      • machine learning (1) Apply machine learning filter
      • social media (1) Apply social media filter
    • Information systems and software (1) Apply Information systems and software filter
    • Wellbeing technology (1) Apply Wellbeing technology filter
  • Economics, business, management (1) Apply Economics, business, management filter
  • Educational sciences (1) Apply Educational sciences filter
  • Natural Sciences, Environment (1) Apply Natural Sciences, Environment filter
Researchers Projects Other results

Researchers

Dorina Rajanen
PhD
Economics, business, management
consumer behavior
innovations
Educational sciences
Education, teaching, learning
utilizing information technology and communications technology in education
Humanities
Media and communications
effects of communications technology
science communication
Society, interaction, information
methodology of social sciences
Natural Sciences, Environment
Northern environment, environmental change
climate change
environmental sociology
Technology
Computer science
artificial intelligence
design science research
gamification
human–machine interaction
machine learning
social media
wearable ICT
Information systems and software
Wellbeing technology
analysis and interpretation methods of physiological signals (such as ECG and EEG)

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P.O.Box 8000
FI-90014 University of Oulu
university.of.oulu(at)oulu.fi
Tel. +358 294 48 0000
Fax +358 8 344 084

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Pentti Kaiteran katu 1
Linnanmaa

Staff e-mail addresses are typically in the firstname.lastname@oulu.fi format

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