Post-doc position in physiological computing and user modeling 
Place: Human Computer Interaction Group, Tallinn University, Tallinn, Estonia 
Requirements: PhD degree awarded in the period of 03.03.2012 - 31.12.2017 
Expression of interest deadline: February 20th, 2017 
Addition info:


The Estonian Research Council supports researchers who have earned their doctoral degrees abroad in














coming to Estonia for postdoctoral research. Tallinn University’s School of Digital Technologies











sponsors applications related to the measurement of peripheral physiology and brain responses, and












personalisation. Expressions of interest are accepted by email send to











including an academic CV and a short statement of research intentions. Post-doc application will be













co-written with shortlisted candidates.   
Physiology in Personalized Systems 
Personalization techniques, in general, build upon user models. These models are application specific and














account both for long term user properties (e.g. preferences, attitudes, personality traits, which are stable
















over longer time periods) and short term User properties (e.g. affective/cognitive states, which can change
















more rapidly). Long term properties can be acquired with existing acquisition techniques using either one















time Intrusive questionnaires or slowly and unobtrusively via various modalities, e.g. ratings, browsing













history, social media streams. However, these approaches fail for short term Properties, which change















rapidly. Hence, personalization techniques still lack quick, responsive and unobtrusive techniques to












acquire the short term user properties. 
The measurement of peripheral physiology and brain responses of users can complement the traditional













user feedback acquisition techniques by providing more insight into short term changes of the user.















Physiological measurement can be continuously available, quantitative and relatively unobtrusive.











Therefore, personalized systems can now aim for a more detailed and temporally adaptive user models















that try to mimic the dynamics of the user’s cognitive and affective states. In addition, the physiological















data can also be used for complementing long-term user properties (e.g. personality traits). Furthermore,














physiological measures can be combined with behavioural data to provide a more detailed multimodal












model of the user. 
Below is the list of topics that can be targeted by a potential application: 

●  Physiological user models for personalized systems 
●  Datasets with physiology information in personalized systems/human-computer interaction 
●  Enhancing user/learner models with physiology; 
●  Evaluation of physiology-based personalized services; 
●  Novel applications considering physiology including games, cinema, theatre, multimedia content,











and social media.