NotiBike: Assessing Target Selection Techniques for Cyclist Notifications in Augmented Reality
Authors:
Open Access
- 19 September 2022
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in Proceedings of the ACM on Human-Computer Interaction
- Vol. 6 (MHCI) , 1-24
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.Keywords
This publication has 51 references indexed in Scilit:
- Combining Direct and Indirect Touch Input for Interactive Workspaces using Gaze Input2015
- Investigating evidence of mobile phone usage by drivers in road traffic accidentsDigital Investigation, 2015
- More screen operation than calling: The results of observing cyclists' behaviour while using mobile phonesAccident Analysis & Prevention, 2015
- The effects of operating a touch screen smartphone and other common activities performed while bicycling on cycling behaviourTransportation Research Part F: Traffic Psychology and Behaviour, 2014
- Evaluation of head-free eye tracking as an input device for air traffic controlErgonomics, 2013
- Attentional Tunneling and Task Management in Synthetic Vision DisplaysThe International Journal of Aviation Psychology, 2009
- A meta-analysis of the effects of cell phones on driver performanceAccident Analysis & Prevention, 2008
- What you don't look at is what you get2005
- Manual and gaze input cascaded (MAGIC) pointing1999
- What you look at is what you get: eye movement-based interaction techniques1990