Toward In-Situ Authoring of Situated Visualization with Chorded Keyboards

Authors. Sarah Dosdall, Katrin Angerbauer, Leonel Merino, Michael Sedlmair, Daniel Weiskopf

Venue. VINCI (2022)

Materials. DOI PDF

Abstract. Authoring situated visualizations in-situ is challenging due to the need of writing code in a mobile and highly dynamic fashion. To provide better support for that, we define requirements for text input methods that target situated visualization authoring. We identify wearable chorded keyboards as a potentially suitable method that fulfills some of these requirements. To further investigate this approach, we tailored a chorded keyboard device to visualization authoring, developed a learning application, and conducted a pilot user study. Our results confirm that learning a high number of chords is the main barrier for adoption, as in other application areas. Based on that, we discuss ideas on how chorded keyboards with a strongly reduced alphabet, hand gestures, and voice recognition might be used as a viable, multi-modal support for authoring situated visualizations in-situ.

@inproceedings{10.1145/3554944.3554970,
    title        = {Toward In-Situ Authoring of Situated Visualization with Chorded Keyboards},
    author       = {Dosdall, Sarah and Angerbauer, Katrin and Merino, Leonel and Sedlmair, Michael and Weiskopf, Daniel},
    year         = {2022},
    booktitle    = {Proceedings of the 15th International Symposium on Visual Information Communication and Interaction},
    publisher    = {ACM},
    series       = {VINCI '22},
    doi          = {10.1145/3554944.3554970},
    url          = {https://doi.org/10.1145/3554944.3554970},
    abstract     = {Authoring situated visualizations in-situ is challenging due to the need of writing code in a mobile and highly dynamic fashion. To provide better support for that, we define requirements for text input methods that target situated visualization authoring. We identify wearable chorded keyboards as a potentially suitable method that fulfills some of these requirements. To further investigate this approach, we tailored a chorded keyboard device to visualization authoring, developed a learning application, and conducted a pilot user study. Our results confirm that learning a high number of chords is the main barrier for adoption, as in other application areas. Based on that, we discuss ideas on how chorded keyboards with a strongly reduced alphabet, hand gestures, and voice recognition might be used as a viable, multi-modal support for authoring situated visualizations in-situ.},
    articleno    = {14},
    numpages     = {5},
    keywords     = {mixed reality, chorded keyboard, pilot study, Situated visualization}
}