ORCID: https://orcid.org/0000-0003-2704-2852; Kosch, Thomas
ORCID: https://orcid.org/0000-0001-6300-9035; Müller, Florian
ORCID: https://orcid.org/0000-0002-9621-6214; Schmitz, Martin
ORCID: https://orcid.org/0000-0002-7332-3287; Günther, Sebastian
ORCID: https://orcid.org/0000-0003-1281-2180; Bommhardt, Lukas
ORCID: https://orcid.org/0000-0001-5283-2499 und Mühlhäuser, Max
ORCID: https://orcid.org/0000-0003-4713-5327
(2023):
Tailor Twist: Assessing Rotational Mid-Air Interactions for Augmented Reality.
CHI conference on Human Factors in Computing Systems (CHI), Hamburg, Germany, 23. - 28. April 2023.
Schmidt, Albrecht
ORCID: https://orcid.org/0000-0003-3890-1990 (Hrsg.):
In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems,
400
New York: Association for Computing Machinery. S. 1-14
Abstract
Mid-air gestures, widely used in today’s Augmented Reality (AR) applications, are prone to the “gorilla arm” effect, leading to discomfort with prolonged interactions. While prior work has proposed metrics to quantify this effect and means to improve comfort and ergonomics, these works usually only consider simplistic, one-dimensional AR interactions, like reaching for a point or pushing a button. However, interacting with AR environments also involves far more complex tasks, such as rotational knobs, potentially impacting ergonomics. This paper advances the understanding of the ergonomics of rotational mid-air interactions in AR. For this, we contribute the results of a controlled experiment exposing the participants to a rotational task in the interaction space defined by their arms’ reach. Based on the results, we discuss how novel future mid-air gesture modalities benefit from our findings concerning ergonomic-aware rotational interaction.
Dokumententyp: | Konferenzbeitrag (Paper) |
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Fakultät: | Mathematik, Informatik und Statistik > Informatik |
Themengebiete: | 000 Informatik, Informationswissenschaft, allgemeine Werke > 000 Informatik, Wissen, Systeme |
ISBN: | 978-1-4503-9421-5 |
Ort: | New York |
Sprache: | Englisch |
Dokumenten ID: | 123700 |
Datum der Veröffentlichung auf Open Access LMU: | 15. Feb. 2025 14:31 |
Letzte Änderungen: | 15. Feb. 2025 14:31 |