Kosch, Thomas ; Matviienko, Andrii ; Müller, Florian ; Bersch, Jessica ; Katins, Christopher ; Schön, Dominik ; Mühlhäuser, Max (2022)
NotiBike: Assessing Target Selection Techniques for Cyclist Notifications in Augmented Reality.
doi: 10.1145/3546732
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Cyclists' attention is often compromised when interacting with notifications in traffic, hence increasing the likelihood of road accidents. To address this issue, we evaluate three notification interaction modalities and investigate their impact on the interaction performance while cycling: gaze-based Dwell Time, Gestures, and Manual And Gaze Input Cascaded (MAGIC) Pointing. In a user study (N=18), participants confirmed notifications in Augmented Reality (AR) using the three interaction modalities in a simulated biking scenario. We assessed the efficiency regarding reaction times, error rates, and perceived task load. Our results show significantly faster response times for MAGIC Pointing compared to Dwell Time and Gestures, while Dwell Time led to a significantly lower error rate compared to Gestures. Participants favored the MAGIC Pointing approach, supporting cyclists in AR selection tasks. Our research sets the boundaries for more comfortable and easier interaction with notifications and discusses implications for target selections in AR while cycling.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Kosch, Thomas ; Matviienko, Andrii ; Müller, Florian ; Bersch, Jessica ; Katins, Christopher ; Schön, Dominik ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | NotiBike: Assessing Target Selection Techniques for Cyclist Notifications in Augmented Reality |
| Sprache: | Englisch |
| Publikationsjahr: | September 2022 |
| Ort: | New York, NY |
| Verlag: | Association for Computing Machinery |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Proc. ACM Hum.-Comput. Interact. |
| Jahrgang/Volume einer Zeitschrift: | 6 |
| (Heft-)Nummer: | MHCI |
| DOI: | 10.1145/3546732 |
| URL / URN: | https://doi.org/10.1145/3546732 |
| Kurzbeschreibung (Abstract): | Cyclists' attention is often compromised when interacting with notifications in traffic, hence increasing the likelihood of road accidents. To address this issue, we evaluate three notification interaction modalities and investigate their impact on the interaction performance while cycling: gaze-based Dwell Time, Gestures, and Manual And Gaze Input Cascaded (MAGIC) Pointing. In a user study (N=18), participants confirmed notifications in Augmented Reality (AR) using the three interaction modalities in a simulated biking scenario. We assessed the efficiency regarding reaction times, error rates, and perceived task load. Our results show significantly faster response times for MAGIC Pointing compared to Dwell Time and Gestures, while Dwell Time led to a significantly lower error rate compared to Gestures. Participants favored the MAGIC Pointing approach, supporting cyclists in AR selection tasks. Our research sets the boundaries for more comfortable and easier interaction with notifications and discusses implications for target selections in AR while cycling. |
| Freie Schlagworte: | selection, augmented reality, notifications, cycling |
| Zusätzliche Informationen: | Article No.: 197 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation |
| Hinterlegungsdatum: | 30 Jun 2023 08:09 |
| Letzte Änderung: | 03 Jul 2023 08:21 |
| PPN: | 509229980 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum