  The research communities studying visualization and sonification for data
display and analysis share exceptionally similar goals, essentially making data
of any kind interpretable to humans. One community does so by using visual
representations of data, and the other community employs auditory (non-speech)
representations of data. While the two communities have a lot in common, they
developed mostly in parallel over the course of the last few decades. With this
STAR, we discuss a collection of work that bridges the borders of the two
communities, hence a collection of work that aims to integrate the two
techniques into one form of audiovisual display, which we argue to be "more
than the sum of the two."
  We introduce and motivate a classification system applicable to such
audiovisual displays and categorize a corpus of 57 academic publications that
appeared between 2011 and 2023 in categories such as reading level, dataset
type, or evaluation system, to mention a few. The corpus also enables a
meta-analysis of the field, including regularly occurring design patterns such
as type of visualization and sonification techniques, or the use of visual and
auditory channels, showing an overall diverse field with different designs. An
analysis of a co-author network of the field shows individual teams without
many interconnections. The body of work covered in this STAR also relates to
three adjacent topics: audiovisual monitoring, accessibility, and audiovisual
data art. These three topics are discussed individually in addition to the
systematically conducted part of this research. The findings of this report may
be used by researchers from both fields to understand the potentials and
challenges of such integrated designs while hopefully inspiring them to
collaborate with experts from the respective other field.
