Sentiment analysis: from opinion mining to human-agent interaction

C Clavel, Z Callejas - IEEE Transactions on affective computing, 2015 - ieeexplore.ieee.org
The opinion mining and human-agent interaction communities are currently addressing
sentiment analysis from different perspectives that comprise, on the one hand, disparate …

Affective and behavioural computing: Lessons learnt from the first computational paralinguistics challenge

B Schuller, F Weninger, Y Zhang, F Ringeval… - Computer Speech & …, 2019 - Elsevier
In this article, we review the INTERSPEECH 2013 Computational Paralinguistics ChallengE
(ComParE)–the first of its kind–in light of the recent developments in affective and …

Information disclosure in the era of voice technology

J Melzner, A Bonezzi, T Meyvis - Journal of Marketing, 2023 - journals.sagepub.com
Whenever consumers interact with technological devices connected to the internet, they
disclose information about themselves. The rapid diffusion of voice technology is shifting the …

Toward automating oral presentation scoring during principal certification program using audio-video low-level behavior profiles

SW Hsiao, HC Sun, MC Hsieh, MH Tsai… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Effective leadership bears strong relationship to attributes of emotion contagion, positive
mood, and social intelligence. In fact, leadership quality has been shown to be manifested in …

Estimating subjective argument quality aspects from social signals in argumentative dialogue systems

N Rach, Y Matsuda, S Ultes, W Minker… - IEEE Access, 2021 - ieeexplore.ieee.org
Information about a subjective user opinion towards an argument is crucial for
argumentative systems in order to present appropriate content and adapt their behaviour to …

Towards flexible argumentation with conversational agents

N Rach - 2022 - oparu.uni-ulm.de
Reasoning over conflicting information, ie to argue is at the core of many types of
conversation such as persuasion, negotiation and deliberation. The multitude of setups that …

Five-Factor Model as a Predictor for Spoken Dialog Systems

T Carter - 2016 - search.proquest.com
Human behavior varies widely as does the design of spoken dialog systems (SDS). The
search for predictors to match a user's preference and efficiency for a specific dialog …

[图书][B] Prosody modeling in spoken language systems

JH Jeon - 2011 - search.proquest.com
In spoken utterances, prosody is encoded in the form of pitch accent, intonation, and rhythm,
and conveys linguistic and paralinguistic information such as emphasis, intent, attitude, and …