Multimodal error correction for speech user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
In-car dictation and driver's distraction: a case study
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Impact of word error rate on driving performance while dictating short texts
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Mostly passive information delivery in a car
Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Speech-based text correction patterns in noisy environment
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
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This paper presents a multi-modal automotive dictation editor (codenamed ECOR) used to compose and correct text messages while driving. The goals are to keep driver's distraction minimal while achieving good task completion rates and times as well as acceptance by users. We report test results for a set of 28 native US-English speakers using the system while driving a standard lane-change-test (LCT) car simulator. The dictation editor was tested (1) without any display, (2) with a display showing the full edited text, and (3) with just the "active" part of text being shown. In all cases, the system provided extensive text-to-speech feedback in order to prevent the driver from having to look at the display. In addition, cell phone messaging and GPS destination entry were evaluated as reference tasks. The test subjects were instructed to send text messages containing prescribed semantic information, and were given a list of destinations for the GPS task. The levels of driver distraction (evaluated by car's deviation from an ideal track, reaction times, number of missed lane change signs, eye gaze information etc.) were compared between the 3 ECOR and the 2 reference tasks, and also to undistracted driving. Task completion was measured by the number and quality of messages sent out during a 4 minute LCT ride, and subjective feedback was collected via questionnaires. Results indicate that the eyes-free version keeps the distraction level acceptable while achieving good task completion rate. Both multi-modal versions caused more distraction than the eyes-free version and were comparable to the GPS entry task. For native speakers, the missing display for the eyes-free version did not impact quality of dictated text. By far, the cell phone texting task was the most distracting one. Text composition speed using dictation was faster than cell phone typing.