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Speech-based interaction in multitask conditions: impact of prompt modality
1Department of Industrial Engineering, Engineering Faculty, Tel Aviv University, Israel. avi_parush@carleton.ca
Human Factors
|January 27, 2006
Summary
Speech prompts in multitasking increase data entry time compared to visual prompts. However, visual prompts negatively impact tracking performance, especially in difficult situations.
Area of Science:
- Human-Computer Interaction
- Cognitive Psychology
Background:
- Speech-based interaction is suitable for hands-busy, eyes-busy multitasking.
- Understanding prompt modality effects is crucial for optimizing these interactions.
Purpose of the Study:
- To investigate prompt-guided speech-based interaction in multitasking scenarios.
- To determine the impact of prompt modality (spoken vs. visual) on performance.
Main Methods:
- A dual-task paradigm combining tracking (primary) with speech data input (secondary).
- Three tracking difficulty levels (none, basic, difficult).
- Two prompt modalities: spoken dialogue and visual dialogue.
Main Results:
- Speech prompts led to longer data entry times than visual prompts across all tracking conditions.
- When tracking was difficult, data entry times were similar for both prompt types.
- Visual prompts resulted in poorer tracking performance compared to spoken prompts.
Conclusions:
- Prompt modality significantly influences performance in speech-based multitasking.
- Spoken prompts may be preferable for maintaining primary task performance, while visual prompts might be more efficient for data entry in less demanding situations.
- Findings support multiple resource theory for designing effective speech-based systems in complex environments.