Metrics

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Theoretical Development

  • font properties vs. performance
  • info transfer rate (sponginess)
  • use eyetracking to see where people leave off, due to fatigue
  • reading speed and eyetracking for continuity in letters
  • reading speed and eyetracking for individual letters
  • the balance of performance and preference
  • disentangling general (whole body?) discomfort/ergonomics from purely visual discomfort/ergonomics
  • use eye tracking to assess reading skill (e.g., # saccades, fixation periods/line)
  • addressing participant reading comfort and preference vs. best font for speed and accuracy
  • can we really make you read much faster without penalty? how much room to grow?
  • develop effective and efficient testing tools to assess readability
  • generalizability of reading measurements in different environments vs. standardized lab measurements
  • need large-scale data collection and standardization effort to validate more ecological measurements against lab measurements
  • how to measure (or normalize) efficiency in reading across languages (i.e., how much information is conveyed in a character?)
  • identify the best fonts for a standardized measurement of reading speed
  • language / multilinguism and font typeface effect on reading speed; eyetracking
  • English vs. non-English languages

Empirical Study

  • underlying question –> task/motivation; gaze x self-modulation: can we find gaze metrics to change task identification
  • shift away from timing as a success metric and toward “sufficiently accurate for intended use”
  • legibility vs. readability
  • defines what matters for reading in proper context; are same or different mechanisms involved
  • a change in the paradigm of eye tracking
  • define realistic goals for ar/vr reading
  • lack of measures
  • “traditional” metrics for readability are yet to be discovered
  • develop metrics for measuring workload and comfort while reading
  • better metrics beyond reading speed
  • define text (passages) in terms of content or in terms of visual quality
  • identify relevant optimization targets: preference, comfort, retention
  • establish baseline metrics
  • research viability of combining reading speed and recollection accuracy into one score
  • proper definition and measurement of readability
  • what should be the metric that determines good from bad fonts? can there even be an answer?