A systematic review of intelligent assistants

E Islas-Cota, JO Gutierrez-Garcia, CO Acosta… - Future Generation …, 2022 - Elsevier
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 …

A systematic review of functions and design features of in-vehicle agents

SC Lee, M Jeon - International Journal of Human-Computer Studies, 2022 - Elsevier
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 …

Autovis: Enabling mixed-immersive analysis of automotive user interface interaction studies

P Jansen, J Britten, A Häusele… - Proceedings of the …, 2023 - dl.acm.org
Automotive user interface (AUI) evaluation becomes increasingly complex due to novel
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

P Ni, Y Li, G Li, V Chang - Neural Computing and Applications, 2020 - Springer
Abstract Internet of Things (IoT) based voice interaction system, as a new artificial
intelligence application, provides a new human–computer interaction mode. The more …

RUSAVIC Corpus: Russian audio-visual speech in cars

D Ivanko, A Axyonov, D Ryumin… - Proceedings of the …, 2022 - aclanthology.org
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 …

A design space for human sensor and actuator focused in-vehicle interaction based on a systematic literature review

P Jansen, M Colley, E Rukzio - Proceedings of the ACM on Interactive …, 2022 - dl.acm.org
Automotive user interfaces constantly change due to increasing automation, novel features,
additional applications, and user demands. While in-vehicle interaction can utilize numerous …

Multimodal corpus design for audio-visual speech recognition in vehicle cabin

A Kashevnik, I Lashkov, A Axyonov, D Ivanko… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Guiding preferred driving style using voice in autonomous vehicles: An on-road wizard-of-oz study

K Kim, M Park, Y Lim - Proceedings of the 2021 ACM Designing …, 2021 - dl.acm.org
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 …

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 …

Applied Affective Computing

L Tian, S Oviatt, M Muszynski, B Chamberlain, J Healey… - 2022 - books.google.com
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 …