Emotion-awareness for intelligent vehicle assistants: A research agenda

Hans Jörg Vögel, Christian Sü, Thomas Hubregtsen, Viviane Ghaderi, Ronee Chadowitz, Elisabeth André, Nicholas Cummins, Björn Schuller, Jérme Härri, Raphaël Troncy, Benoit Huet, Melek Nen, Adlen Ksentini, Jörg Conradt, Asaf Adi, Alexander Zadorojniy, Jacques Terken, Jonas Beskow, Ann Morrison, Kynan EngFlorian Eyben, Samer Al Moubayed, Susanne Müller

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

25 Citationer (Scopus)

Abstract

EVA1 is describing a new class of emotion-aware autonomous systems delivering intelligent personal assistant functionalities. EVA requires a multi-disciplinary approach, combining a number of critical building blocks into a cybernetics systems/software architecture: emotion aware systems and algorithms, multimodal interaction design, cognitive modelling, decision making and recommender systems, emotion sensing as feedback for learning, and distributed (edge) computing delivering cognitive services.

OriginalsprogEngelsk
TitelProceedings - 2018 ACM/IEEE 1st International Workshop on Software Engineering for AI in Autonomous Systems, SEFAIAS 2018
Antal sider5
Vol/bindPart F138004
ForlagIEEE Computer Society Press
Publikationsdato28 maj 2018
Sider11-15
ISBN (Elektronisk)9781450357395
DOI
StatusUdgivet - 28 maj 2018
Udgivet eksterntJa
Begivenhed1st ACM/IEEE International Workshop on Software Engineering for AI in Autonomous Systems, SEFAIAS 2018 - Gothenburg, Sverige
Varighed: 28 maj 2018 → …

Konference

Konference1st ACM/IEEE International Workshop on Software Engineering for AI in Autonomous Systems, SEFAIAS 2018
Land/OmrådeSverige
ByGothenburg
Periode28/05/2018 → …
SponsorACM Special Interest Group on Software Engineering (SIGSOFT), IEEE Computer Society, IEEE Technical Council on Software Engineering (TCSE)

Fingeraftryk

Dyk ned i forskningsemnerne om 'Emotion-awareness for intelligent vehicle assistants: A research agenda'. Sammen danner de et unikt fingeraftryk.

Citationsformater