ORCID: https://orcid.org/0000-0002-9621-6214; Schmitt, Daniel
ORCID: https://orcid.org/0000-0003-0308-0416; Matviienko, Andrii
ORCID: https://orcid.org/0000-0002-6571-0623; Schön, Dominik
ORCID: https://orcid.org/0000-0003-2704-2852; Günther, Sebastian
ORCID: https://orcid.org/0000-0003-1281-2180; Kosch, Thomas
ORCID: https://orcid.org/0000-0001-6300-9035 und Schmitz, Martin
ORCID: https://orcid.org/0000-0002-7332-3287
(2023):
TicTacToes: Assessing Toe Movements as an Input Modality.
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,
520
New York: Association for Computing Machinery.
Abstract
From carrying grocery bags to holding onto handles on the bus, there are a variety of situations where one or both hands are busy, hindering the vision of ubiquitous interaction with technology. Voice commands, as a popular hands-free alternative, struggle with ambient noise and privacy issues. As an alternative approach, research explored movements of various body parts (e.g., head, arms) as input modalities, with foot-based techniques proving particularly suitable for hands-free interaction. Whereas previous research only considered the movement of the foot as a whole, in this work, we argue that our toes offer further degrees of freedom that can be leveraged for interaction. To explore the viability of toe-based interaction, we contribute the results of a controlled experiment with 18 participants assessing the impact of five factors on the accuracy, efficiency and user experience of such interfaces. Based on the findings, we provide design recommendations for future toe-based interfaces.
Dokumententyp: | Konferenzbeitrag (Paper) |
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Fakultät: | Mathematik, Informatik und Statistik > Informatik |
Themengebiete: | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik |
ISBN: | 978-1-4503-9421-5 |
Ort: | New York |
Sprache: | Englisch |
Dokumenten ID: | 123834 |
Datum der Veröffentlichung auf Open Access LMU: | 25. Feb. 2025 16:00 |
Letzte Änderungen: | 25. Feb. 2025 16:00 |