A systematic review of intelligent assistants
An intelligent assistant (IA) is a computer system endowed with artificial intelligence and/or
machine learning techniques capable of intelligently assisting people. IAs have gained in …
machine learning techniques capable of intelligently assisting people. IAs have gained in …
A systematic review of functions and design features of in-vehicle agents
Intelligent agents are expected to become major computing systems in the near future. In-
vehicle agents (IVAs) can be widely adopted and utilized in a driving environment. Despite …
vehicle agents (IVAs) can be widely adopted and utilized in a driving environment. Despite …
Autovis: Enabling mixed-immersive analysis of automotive user interface interaction studies
Automotive user interface (AUI) evaluation becomes increasingly complex due to novel
interaction modalities, driving automation, heterogeneous data, and dynamic environmental …
interaction modalities, driving automation, heterogeneous data, and dynamic environmental …
Natural language understanding approaches based on joint task of intent detection and slot filling for IoT voice interaction
Abstract Internet of Things (IoT) based voice interaction system, as a new artificial
intelligence application, provides a new human–computer interaction mode. The more …
intelligence application, provides a new human–computer interaction mode. The more …
RUSAVIC Corpus: Russian audio-visual speech in cars
We present a new audio-visual speech corpus (RUSAVIC) recorded in a car environment
and designed for noise-robust speech recognition. Our goal was to produce a speech …
and designed for noise-robust speech recognition. Our goal was to produce a speech …
A design space for human sensor and actuator focused in-vehicle interaction based on a systematic literature review
Automotive user interfaces constantly change due to increasing automation, novel features,
additional applications, and user demands. While in-vehicle interaction can utilize numerous …
additional applications, and user demands. While in-vehicle interaction can utilize numerous …
Multimodal corpus design for audio-visual speech recognition in vehicle cabin
This paper introduces a new methodology aimed at comfort for the driver in-the-wild
multimodal corpus creation for audio-visual speech recognition in driver monitoring systems …
multimodal corpus creation for audio-visual speech recognition in driver monitoring systems …
Guiding preferred driving style using voice in autonomous vehicles: An on-road wizard-of-oz study
Matching the autonomous vehicle's (AV) driving style to its user's preference is core to a
satisfactory user experience. The recent HCI community has undertaken a significant …
satisfactory user experience. The recent HCI community has undertaken a significant …
Exploring factors that influence connected drivers to (not) use or follow recommended optimal routes
BPV Samson, Y Sumi - Proceedings of the 2019 CHI conference on …, 2019 - dl.acm.org
Navigation applications are becoming ubiquitous in our daily navigation experiences. With
the intention to circumnavigate congested roads, their route guidance always follows the …
the intention to circumnavigate congested roads, their route guidance always follows the …
Applied Affective Computing
Affective computing is a nascent field situated at the intersection of artificial intelligence with
social and behavioral science. It studies how human emotions are perceived and …
social and behavioral science. It studies how human emotions are perceived and …