Using Learned Predictions of User Utterances to Decrease Distraction

• Driver distraction is one of the most common causes of accidents. By having a dialogue manager request predicted user answers from a user model instead of asking the user, we can reduce the number of utterances in the dialogue and thereby reduce the time that the user is distracted.

Subject headings

HUMANIORA  -- Språk och litteratur -- Jämförande språkvetenskap och allmän lingvistik (hsv//swe)

HUMANITIES  -- Languages and Literature -- General Language Studies and Linguistics (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Language Technology (hsv//eng)

SAMHÄLLSVETENSKAP  -- Psykologi -- Psykologi (hsv//swe)

SOCIAL SCIENCES  -- Psychology -- Psychology (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Annan teknik -- Interaktionsteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies -- Interaction Technologies (hsv//eng)

Keyword

dialogsystem

kognitive belastning

fordon

multimodalitet

Publication and Content Type

ref (subject category)

art (subject category)