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Kenneth Holmqvist

Kenneth Holmqvist

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
12911
World Ranking
5686
National Ranking
188

Overview

Kenneth Holmqvist is affiliated with the University of Regensburg in Germany. Their primary field of study is Computer Science, with a focus on subfields such as Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Ophthalmology, and Experimental and Cognitive Psychology.

Their research extensively covers topics including Gaze Tracking and Assistive Technology, Glaucoma and retinal disorders, Visual and Cognitive Learning Processes, Virtual Reality Applications and Impacts, Visual perception and processing mechanisms, EEG and Brain-Computer Interfaces, and Human-Animal Interaction Studies.

Holmqvist's frequent coauthors include Diederick C. Niehorster, Soon Young Park, Raimondas Zemblys, Saga Lee Örbom, and Pieter Blignaut.

Common venues for publication include:

  • Behavior Research Methods
  • Journal of Eye Movement Research
  • ACM Symposium on Eye Tracking Research and Applications
  • Zenodo (CERN European Organization for Nuclear Research)
  • Frontiers in Education

Recent publications by Kenneth Holmqvist feature the following works:

  • RETRACTED ARTICLE: Eye tracking: empirical foundations for a minimal reporting guideline, 2022, Behavior Research Methods
  • Small eye movements cannot be reliably measured by video-based P-CR eye-trackers, 2020, Behavior Research Methods

Best Publications

  • Eye Tracking: A comprehensive guide to methods and measures

    Kenneth B. I. Holmqvist

  • An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data

    Marcus Nyström;Kenneth Holmqvist

  • Eye tracker data quality: what it is and how to measure it

    Kenneth Holmqvist;Marcus Nyström;Fiona Mulvey

  • Reading information graphics: The role of spatial contiguity and dual attentional guidance

    Jana Holsanova;Nils Holmberg;Kenneth Holmqvist

  • The influence of calibration method and eye physiology on eyetracking data quality

    Marcus Nyström;Richard Andersson;Kenneth Holmqvist;Joost van de Weijer

  • Entry points and reading paths on the newspaper spread: Comparing semiotic analysis with eye-tracking measurements.

    Jana Holsanova;Henrik Rahm;Kenneth Holmqvist

  • Pictures and Spoken Descriptions Elicit Similar Eye Movements During Mental Imagery, Both in Light and in Complete Darkness

    Roger Johansson;Jana Holsanova;Kenneth Holmqvist

  • Threats to the validity of eye-movement research in psychology.

    Jacob L. Orquin;Kenneth Holmqvist;Kenneth Holmqvist;Kenneth Holmqvist

  • One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithms

    Richard Andersson;Richard Andersson;Linnea Larsson;Kenneth Holmqvist;Martin Stridh

  • Using eye-tracking to trace a cognitive process: Gaze behavior during decision making in a natural environment

    Kerstin Gidlöf;Annika Wallin;Richard Dewhurst;Kenneth Holmqvist

  • Reading or scanning? A study of newspaper and net paper reading.

    Kenneth Holmqvist;Jana Holsanova;Maria Barthelson;Daniel Lundqvist

  • A vector-based, multidimensional scanpath similarity measure

    Halszka Jarodzka;Kenneth Holmqvist;Marcus Nyström

  • Using machine learning to detect events in eye-tracking data

    Raimondas Zemblys;Raimondas Zemblys;Diederick C Niehorster;Diederick C Niehorster;Oleg V. Komogortsev;Kenneth Holmqvist

  • What speakers do and what addressees look at: visual attention to gestures in human interaction live and on video

    Marianne Gullberg;Kenneth Holmqvist

  • How a picture facilitates the process of learning from text: Evidence for scaffolding

    Alexander Eitel;Katharina Scheiter;Anne Schüler;Marcus Nyström

  • Conveying clinical reasoning based on visual observation via eye-movement modelling examples

    Halszka Jarodzka;Thomas Balslev;Kenneth Holmqvist;Marcus Nyström

  • It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach

    Richard Dewhurst;Marcus Nyström;Halszka Jarodzka;Tom Foulsham

  • Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more

    Richard Andersson;Marcus Nyström;Kenneth Holmqvist

  • Eye tracking in Educational Science: Theoretical frameworks and research agendas.

    Halszka Jarodzka;Kenneth Holmqvist;Hans Gruber

  • Combined eyetracking and keystroke-logging methods for studying cognitive processes in text production

    Åsa Wengelin;Mark Torrance;Kenneth Holmqvist;Sol Simpson

  • Keeping an eye on gestures: Visual perception of gestures in face-to-face communication

    Marianne Gullberg;Kenneth Holmqvist

  • Eye movements during scene recollection have a functional role, but they are not reinstatements of those produced during encoding.

    Roger Johansson;Jana Holsanova;Richard Dewhurst;Kenneth Holmqvist

  • Semantic override of low-level features in image viewing - both initially and overall

    Marcus Nyström;Kenneth Holmqvist

  • What keystroke-logging can reveal about writing

    Sven Strömqvist;Kenneth Holmqvist;Victoria Johansson;Henrik Karlsson

  • Fit-for-duty test for estimation of drivers' sleepiness level : Eye movements improve the sleep/wake predictor

    Christer Ahlström;Marcus Nyström;Kenneth Holmqvist;Carina Fors

  • Right visual field advantage in parafoveal processing: Evidence from eye-fixation related potentials

    Jaana Simola;Kenneth Holmqvist;Magnus Lindgren

  • Hearing loss and a supportive tactile signal in a navigation system: Effects on driving behavior and eye movements

    Birgitta Thorslund;Björn Peters;Nicholas Herbert;Kenneth Holmqvist

  • Comparing scanpaths during scene encoding and recognition : A multi-dimensional approach

    Thomas Foulsham;Richard Dewhurst;Marcus Nyström;Halszka Jarodzka

  • gazeNet: End-to-end eye-movement event detection with deep neural networks

    Raimondas Zemblys;Diederick C Niehorster;Kenneth Holmqvist;Kenneth Holmqvist;Kenneth Holmqvist

  • End-to-end eye-movement event detection using deep neural networks

    Raimondas Zemblys;Diederick C Niehorster;Kenneth Holmqvist

Frequent Co-Authors

Katharina Scheiter
Katharina Scheiter University of Potsdam
Ignace T. C. Hooge
Ignace T. C. Hooge Utrecht University
Marianne Gullberg
Marianne Gullberg Lund University
Peter Gerjets
Peter Gerjets University of Tübingen
Marc Alexa
Marc Alexa Technical University of Berlin
Tom Foulsham
Tom Foulsham University of Essex
Magnus Lindgren
Magnus Lindgren Lund University
Andrew T. Duchowski
Andrew T. Duchowski Clemson University
Björn Lyxell
Björn Lyxell Linköping University
Mikael Johansson
Mikael Johansson Royal Institute of Technology

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