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CHI’18 papers & course
These PAPERSÂ have been conditionally accepted to the CHI 2018 technical program: Neuromechanics of a Button Press Moving Target Selection: A Cue Integration Model Impact Activation Improves Button Pressing Observations on Typing from 136 Million Keystrokes AdaM: Adapting Multi-User Interfaces for Collaborative Environments in Real-Time Physical Keyboards in Virtual Reality: Analysis of Typing Performance and Effects…
New summer interns are here!
Ece Kamer Takmaz was born in Ankara, Turkey. She received her BSc degree in Computer Engineering from Bilkent University in 2012 and her MSc degree in Cognitive Science from the Middle East Technical University in 2015. Ece has worked as a teaching and research assistant at the Department of Cognitive Science, Middle East Technical University for…
Modelling Learning of New Keyboard Layouts [CHI’17]
To study how people learn new keyboard layouts, we created a computational model of positional learning. The model allows predicting visual search times and patterns for completely new layouts, as well as layouts that have been partially changed. The model can be used to estimate how long it takes to learn the desired level of…
WatchSense: On- and Above-Skin Input Sensing through a Wearable Depth Sensor [CHI’17]
WatchSense uses a depth sensor embedded in a wearable device to expand the input space to neighboring areas of skin and the space above it. Upcoming paper at CHI 2017 by: Srinath Sridhar,  Max Planck Institute for Informatics, Saarbrücken, Germany Anders Markussen , University of Copenhagen, Copenhagen, Denmark Antti Oulasvirta , Aalto University, Helsinki, Finland…
Toward Everyday Gaze Input: Accuracy and Precision of Eye Tracking and Implications for Design [CHI’17]
In collaboration with Microsoft Research, we studied the accuracy and precision of eye tracking in practical, everday tracking conditions on over 80 people. We propose design implications for adaptive, error-aware gaze applications, that consider the large variations of eye tracking quality. Upcoming paper at CHI 2017 by: Anna Feit , Aalto University, Helsinki, Finland Shane Williams , Microsoft…
Inferring Cognitive Models from Data using Approximate Bayesian Computation [CHI ’17]
This paper studies advanced inference methods for cognitive modeling in HCI, showing that ABC (i) improves estimates of model parameter values, (ii) enables meaningful comparisons between model variants, and (iii) supports fitting models to individual users. Upcoming paper at CHI 2017 by: Antti Kangasrääsiö , Aalto University, Espoo, Finland Kumaripaba Athukorala , Aalto University, Helsinki,…
Antti delivers a talk “Can Computers Design?” at interaction16
Antti Oulasvirta gave a talk “Can Computers Design?” at interaction16 in Finlandia Hall in Helsinki. You can find the slides here
How We Type: Movement Strategies and Performance in Everyday Typing [CHI’16]
Researchers at Aalto University provide the first analysis of typing strategies. This paper revisits the present understanding of typing, which originates mostly from studies of trained typists using the ten- finger touch typing system. Their goal is to characterise the majority of present-day users who are untrained and employ diverse, self-taught techniques. In a transcription task, they compare…