46 citations · 117 across the 9 of their papers we have counts for
9 papers
Supporting Management of Gestational Diabetes with Comprehensive Self-Tracking: Mixed-Method Study of Wearable Sensors
Mikko Kytö, Saila Koivusalo, Heli Tuomonen +5
Gestational diabetes (GDM) poses a growing health risk to both pregnant women and their offspring. While telehealth interventions for GDM management have proven effective, they hav…
Characterizing Visualization Insights through Entity-Based Interaction: An Exploratory Study
Chen He, Tung Vuong, Giulio Jacucci
One of the primary purposes of visualization is to assist users in discovering insights. While there has been much research in information visualization aiming at complex data tran…
Revisiting Embodiment for Brain-Computer Interfaces
Barış Serim, Michiel Spapé, Giulio Jacucci
Researchers increasingly explore deploying brain-computer interfaces (BCIs) for able-bodied users, with the motivation of accessing mental states more directly than allowed by exis…
Interactive Visual Facets to Support Fluid Exploratory Search
Chen He, Luana Micallef, Barış Serim +3
Exploratory search starts with ill-defined goals and involves browsing, learning, and formulating new targets for search. To fluidly support such dynamic search behaviours, we focu…
Characterizing the Quality of Insight by Interactions: A Case Study
Chen He, Luana Micallef, Liye He +3
Understanding the quality of insight has become increasingly important with the trend of allowing users to post comments during visual exploration, yet approaches for qualifying in…
PeyeDF: an Eye-Tracking Application for Reading and Self-Indexing Research
Marco Filetti, Hamed R. Tavakoli, Niklas Ravaja +1
PeyeDF is a Portable Document Format (PDF) reader with eye tracking support, available as free and open source software. It is especially useful to researchers investigating readin…
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation
Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder +6
Predicting the efficacy of a drug for a given individual, using high-dimensional genomic measurements, is at the core of precision medicine. However, identifying features on which…
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets
Luana Micallef, Iiris Sundin, Pekka Marttinen +5
Providing accurate predictions is challenging for machine learning algorithms when the number of features is larger than the number of samples in the data. Prior knowledge can impr…
Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals
Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. Spapé +4
Finding relevant information from large document collections such as the World Wide Web is a common task in our daily lives. Estimation of a user's interest or search intention is…