Name
Title | ||
|---|---|---|
Local danger warnings for drivers: the effect of modality and level of assistance on driver reaction |
Abstract | ||
|---|---|---|
Local danger warning is an important function of Advanced Driver Assistance Systems (ADAS) to improve the safety of driving. The user interface (the warning presentation) is particularly crucial to a successful danger avoidance. We present a user study investigating various warning presentations using a scenario of emergent road obstacles. Two presentation factors were selected: modality and level of assistance. The modality factor had 4 variants: speech warning, visual and speech warning, visual warning with blinking cue, and visual warning with sound cue. The level of assistance varied between with or without action suggestions (AS). In accordance with the ISO usability model, a total of 6 measurements were derived to assess the effectiveness and efficiency of the warnings and the drivers' satisfaction. Results indicate that the combination of speech and visual modality leads to the best performance as well as the highest satisfaction. In contrast, purely auditory and purely visual modalities were both insufficient for presenting high-priority warnings. AS generally improved the usability of the warnings especially when they were accompanied by supporting information so that drivers could validate the suggestions. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1719970.1720004 | Journal of Non-newtonian Fluid Mechanics |
Keywords | Field | DocType |
iso usability model,visual warning,highest satisfaction,modality factor,driver reaction,high-priority warning,various warning presentation,visual modality,speech warning,warning presentation,local danger warning,automotive | Modalities,Visual modality,Computer science,Usability,Advanced driver assistance systems,Human–computer interaction,User interface,Multimedia,Automotive industry | Conference |
Citations | PageRank | References |
10 | 0.93 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yujia Cao | 1 | 44 | 5.38 |
| Angela Mahr | 2 | 57 | 7.93 |
| Sandro Castronovo | 3 | 49 | 6.12 |
| Mariët Theune | 4 | 379 | 43.91 |
| Christoph Stahl | 5 | 24 | 3.75 |
| Christian A. Müller | 6 | 77 | 11.96 |