Abstract
In this paper we investigate how natural language interfaces can be integrated with cars in a way such that their influence on driving performance is being minimized. In particular, we focus on how speech-based interaction can be supported through a visualization of the conversation. Our work is motivated by the fact that speech interfaces (like Alexa, Siri, Cortana, etc.) are increasingly finding their way into our everyday life. We expect such interfaces to become commonplace in vehicles in the future. Cars are a challenging environment, since speech interaction here is a secondary task that should not negatively affect the primary task, that is driving. At the outset of our work, we identify the design space for such interfaces. We then compare different visualization concepts in a driving simulator study with 64 participants. Our results yield that (1) text summaries support drivers in recalling information and enhances user experience but can also increase distraction, (2) the use of keywords minimizes cognitive load and influence on driving performance, and (3) the use of icons increases the attractiveness of the interface.
| Language | English |
|---|---|
| Number of pages | 18 |
| Journal | Journal on Multimodal User Interfaces |
| DOIs | |
| State | E-pub ahead of print - 19 Mar 2019 |
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Keywords
- Automotive user interfaces
- Human–computer interaction
- Natural language interfaces
Cite this
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Visualizing natural language interaction for conversational in-vehicle information systems to minimize driver distraction. / Braun, Michael (Corresponding author); Broy, Nora; Pfleging, Bastian; Alt, Florian.
In: Journal on Multimodal User Interfaces, 19.03.2019.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Visualizing natural language interaction for conversational in-vehicle information systems to minimize driver distraction
AU - Braun,Michael
AU - Broy,Nora
AU - Pfleging,Bastian
AU - Alt,Florian
PY - 2019/3/19
Y1 - 2019/3/19
N2 - In this paper we investigate how natural language interfaces can be integrated with cars in a way such that their influence on driving performance is being minimized. In particular, we focus on how speech-based interaction can be supported through a visualization of the conversation. Our work is motivated by the fact that speech interfaces (like Alexa, Siri, Cortana, etc.) are increasingly finding their way into our everyday life. We expect such interfaces to become commonplace in vehicles in the future. Cars are a challenging environment, since speech interaction here is a secondary task that should not negatively affect the primary task, that is driving. At the outset of our work, we identify the design space for such interfaces. We then compare different visualization concepts in a driving simulator study with 64 participants. Our results yield that (1) text summaries support drivers in recalling information and enhances user experience but can also increase distraction, (2) the use of keywords minimizes cognitive load and influence on driving performance, and (3) the use of icons increases the attractiveness of the interface.
AB - In this paper we investigate how natural language interfaces can be integrated with cars in a way such that their influence on driving performance is being minimized. In particular, we focus on how speech-based interaction can be supported through a visualization of the conversation. Our work is motivated by the fact that speech interfaces (like Alexa, Siri, Cortana, etc.) are increasingly finding their way into our everyday life. We expect such interfaces to become commonplace in vehicles in the future. Cars are a challenging environment, since speech interaction here is a secondary task that should not negatively affect the primary task, that is driving. At the outset of our work, we identify the design space for such interfaces. We then compare different visualization concepts in a driving simulator study with 64 participants. Our results yield that (1) text summaries support drivers in recalling information and enhances user experience but can also increase distraction, (2) the use of keywords minimizes cognitive load and influence on driving performance, and (3) the use of icons increases the attractiveness of the interface.
KW - Automotive user interfaces
KW - Human–computer interaction
KW - Natural language interfaces
UR - http://www.scopus.com/inward/record.url?scp=85063193058&partnerID=8YFLogxK
U2 - 10.1007/s12193-019-00301-2
DO - 10.1007/s12193-019-00301-2
M3 - Article
JO - Journal on Multimodal User Interfaces
T2 - Journal on Multimodal User Interfaces
JF - Journal on Multimodal User Interfaces
SN - 1783-7677
ER -