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Kenneth Holmqvist
Kenneth Holmqvist
Professor of Psychology
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Titel
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Jaar
Eye-tracking: a comprehensive guide to methods, paradigms and measures
K Holmqvist, R Andersson
4559*2017
Eye tracking: A comprehensive guide to methods and measures
K Holmqvist, M Nyström, R Andersson, R Dewhurst, H Jarodzka, ...
oup Oxford, 2011
45482011
An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data
M Nyström, K Holmqvist
Behavior research methods 42 (1), 188-204, 2010
7042010
Eye tracker data quality: What it is and how to measure it
K Holmqvist, M Nyström, F Mulvey
Proceedings of the symposium on eye tracking research and applications, 45-52, 2012
4202012
Reading information graphics: The role of spatial contiguity and dual attentional guidance
J Holsanova, N Holmberg, K Holmqvist
Applied Cognitive Psychology: The Official Journal of the Society for …, 2009
3732009
Entry points and reading paths on newspaper spreads: comparing a semiotic analysis with eye-tracking measurements
J Holsanova, H Rahm, K Holmqvist
Visual communication 5 (1), 65-93, 2006
3332006
The influence of calibration method and eye physiology on eyetracking data quality
M Nyström, R Andersson, K Holmqvist, J Van De Weijer
Behavior research methods 45, 272-288, 2013
3142013
Threats to the validity of eye-movement research in psychology
JL Orquin, K Holmqvist
Behavior research methods 50, 1645-1656, 2018
2672018
Reading or scanning? A study of newspaper and net paper reading
K Holmqvist, J Holsanova, M Barthelson, D Lundqvist
The mind's eye, 657-670, 2003
2512003
Using eye tracking to trace a cognitive process: Gaze behaviour during decision making in a natural environment
K Gidlöf, A Wallin, R Dewhurst, K Holmqvist
Journal of eye movement research 6 (1), 2013
2362013
Pictures and spoken descriptions elicit similar eye movements during mental imagery, both in light and in complete darkness
R Johansson, J Holsanova, K Holmqvist
Cognitive science 30 (6), 1053-1079, 2006
2352006
One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithms
R Andersson, L Larsson, K Holmqvist, M Stridh, M Nyström
Behavior research methods 49, 616-637, 2017
2192017
A vector-based, multidimensional scanpath similarity measure
H Jarodzka, K Holmqvist, M Nyström
Proceedings of the 2010 symposium on eye-tracking research & applications …, 2010
2152010
How a picture facilitates the process of learning from text: Evidence for scaffolding
A Eitel, K Scheiter, A Schüler, M Nyström, K Holmqvist
Learning and Instruction 28, 48-63, 2013
2032013
What speakers do and what addressees look at: Visual attention to gestures in human interaction live and on video
M Gullberg, K Holmqvist
Pragmatics & Cognition 14 (1), 53-82, 2006
2012006
Conveying clinical reasoning based on visual observation via eye-movement modelling examples
H Jarodzka, T Balslev, K Holmqvist, M Nyström, K Scheiter, P Gerjets, ...
Instructional Science 40, 813-827, 2012
1912012
It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach
R Dewhurst, M Nyström, H Jarodzka, T Foulsham, R Johansson, ...
Behavior research methods 44, 1079-1100, 2012
1852012
Eye tracking in Educational Science: Theoretical frameworks and research agendas.
J Halszka, K Holmqvist, H Gruber
Journal of eye movement research 10 (1), 2017
1812017
Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more
R Andersson, M Nyström, K Holmqvist
Journal of Eye Movement Research 3 (3), 2010
1782010
Using machine learning to detect events in eye-tracking data
R Zemblys, DC Niehorster, O Komogortsev, K Holmqvist
Behavior research methods 50, 160-181, 2018
1752018
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Artikelen 1–20