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Auflistung nach Schlagwort "empirical research"

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  • Konferenzbeitrag
    On the Journey to Inclusive Mobility: A Solution for Neurodivergent Public Transport Users
    (Mensch und Computer 2024 - Workshopband, 2024) Bao, Lining; Maybauer, Finn Nils; Hartz, Katrin; Pelzer, Leonard; Lang, Patrick Raul
    An accessible design is necessary for a system that is inclusive to all users regardless their abilities. Systems for public transportation often do not address the needs of neurodivergent people. Therefore a combination of Ability-Based Design (ABD) and Value-Sensitive Design (VSD) was used to elaborate a list of features to make planning and navigation apps for public transportation more supportive for neurodivergent users including people with dyslexia or ADHD. A designed solution is a travel assistant that can react to unplanned external influences and support users during their travels. A first prototype was developed and evaluated by several experts. Due to the lack of freely usable live information and disturbance messages during navigation, the development of a new navigation system is not effective. Therefore, we have generated a set of features that practitioners can integrate into existing navigation apps.
  • Konferenzbeitrag
    Statistical Analysis of Eye Movement Data for Beginners
    (Proceedings of Mensch und Computer 2024, 2024) Grabinger, Lisa; Mottok, Jürgen Horst
    Data processing and (statistical) data analysis are important tasks in empirical research. However, they present a particular hurdle for beginners. For one, they require knowledge of statistical methods, their prerequisites, or use cases; For another, one needs either programming skills or some software system to carry out the analyses efficiently. Empirical eye tracking research poses a further hurdle; Data from an eye tracker is processed more elaborately and usually merged with data from other sources (e.g., questionnaires). In this article, we take a closer look at the possibilities that prospective eye tracking researchers have on their way from data collection to publication-ready analysis. We show that there is currently no software system that allows valid statistical analyses of eye tracking data to be performed without prior knowledge – which means that prospective eye tracking researchers need to learn or be taught the basics before performing actual analyses. As a solution, we present a novel tool: eyenalyzer. It guides through the analysis process – even without prior knowledge and therefore suitable for beginners. In the article, after highlighting the need for the tool, we discuss its development, give a glimpse at the user interface, and point out contribution and future work.