Matviienko, Andrii ; Durand-Pierre, Jean-Baptiste ; Cvancar, Jona ; Mühlhäuser, Max (2023)
Text Me If You Can: Investigating Text Input Methods for Cyclists.
Hamburg, Germany
doi: 10.1145/3544549.3585734
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Cycling is emerging as a relevant alternative to cars. However, the more people commute by bicycle, the higher the number of cyclists who use their smartphones on the go and endanger road safety. To better understand input while cycling, in this paper, we present the design and evaluation of three text input methods for cyclists: (1) touch input using smartphones, (2) midair input using a Microsoft Hololens 2, and (3) a set of ten physical buttons placed on both sides of the handlebar. We conducted a controlled indoor experiment (N = 12) on a bicycle simulator to evaluate these input methods. We found that text input via touch input was faster and less mentally demanding than input with midair gestures and physical buttons. However, the midair gestures were the least error-prone, and the physical buttons facilitated keeping both hands on the handlebars and were more intuitive and less distracting.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Matviienko, Andrii ; Durand-Pierre, Jean-Baptiste ; Cvancar, Jona ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | Text Me If You Can: Investigating Text Input Methods for Cyclists |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | New York, NY, USA |
| Verlag: | Association for Computing Machinery |
| Buchtitel: | Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems |
| Reihe: | CHI EA '23 |
| Veranstaltungsort: | Hamburg, Germany |
| DOI: | 10.1145/3544549.3585734 |
| URL / URN: | https://doi.org/10.1145/3544549.3585734 |
| Kurzbeschreibung (Abstract): | Cycling is emerging as a relevant alternative to cars. However, the more people commute by bicycle, the higher the number of cyclists who use their smartphones on the go and endanger road safety. To better understand input while cycling, in this paper, we present the design and evaluation of three text input methods for cyclists: (1) touch input using smartphones, (2) midair input using a Microsoft Hololens 2, and (3) a set of ten physical buttons placed on both sides of the handlebar. We conducted a controlled indoor experiment (N = 12) on a bicycle simulator to evaluate these input methods. We found that text input via touch input was faster and less mentally demanding than input with midair gestures and physical buttons. However, the midair gestures were the least error-prone, and the physical buttons facilitated keeping both hands on the handlebars and were more intuitive and less distracting. |
| Freie Schlagworte: | mobile interaction, text input, smartphone, cycling |
| Zusätzliche Informationen: | Art.No 270 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation |
| Hinterlegungsdatum: | 30 Jun 2023 08:19 |
| Letzte Änderung: | 30 Jun 2023 08:50 |
| PPN: | 509211895 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
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