Reinforcement learning for personalization: A systematic literature review

F Den Hengst, EM Grua, A el Hassouni… - Data …, 2020 - content.iospress.com
The major application areas of reinforcement learning (RL) have traditionally been game
playing and continuous control. In recent years, however, RL has been increasingly applied …

Chatgpt-edss: Empathetic dialogue speech synthesis trained from chatgpt-derived context word embeddings

Y Saito, S Takamichi, E Iimori, K Tachibana… - arxiv preprint arxiv …, 2023 - arxiv.org
We propose ChatGPT-EDSS, an empathetic dialogue speech synthesis (EDSS) method
using ChatGPT for extracting dialogue context. ChatGPT is a chatbot that can deeply …

CALLS: Japanese Empathetic Dialogue Speech Corpus of Complaint Handling and Attentive Listening in Customer Center

Y Saito, E Iimori, S Takamichi, K Tachibana… - arxiv preprint arxiv …, 2023 - arxiv.org
We present CALLS, a Japanese speech corpus that considers phone calls in a customer
center as a new domain of empathetic spoken dialogue. The existing STUDIES corpus …

Eliciting cooperative persuasive dialogue by multimodal emotional robot

S Asai, K Yoshino, S Shinagawa, S Sakti… - Conversational AI for …, 2022 - Springer
Using emotional expressions is an effective dialogue technique in human–human dialogue.
Introducing such techniques to human–robot interaction might improve their effectiveness to …

Emotional speech corpus for persuasive dialogue system

S Asai, K Yoshino, S Shinagawa, S Sakti… - Proceedings of the …, 2020 - aclanthology.org
Expressing emotion is known as an efficient way to persuade one's dialogue partner to
accept one's claim or proposal. Emotional expression in speech can express the speaker's …

Pengaruh model pembelajaran kooperatif tipe team assisted individualization terhadap motivasi belajar mahasiswa

A Riswanto - Mosharafa: Jurnal Pendidikan …, 2016 - journal.institutpendidikan.ac.id
Dalam dunia pendidikan keberhasilan yang maksimal dapat dilakukan dengan membuat
berbagai prediksi dan perbaikan terhadap berbagai kekurangan yang ditemui, hal ini akan …

[PDF][PDF] Multimodal Persuasive Dialogue Corpus using Teleoperated Android.

S Kawano, M Arioka, A Yuguchi, K Yamamoto… - …, 2022 - sap.ist.i.kyoto-u.ac.jp
We collected a corpus of persuasive dialogues containing multimodal information for
building a persuasive dialogue system that encourages users to change their behaviors …

感情表現を用いた説得対話システム

石川葉子, 水上雅博, 吉野幸一郎, 鈴木優… - 人工知能学会論文 …, 2018 - jstage.jst.go.jp
抄録 Using emotional expressions in a conversation is an efficient way to convey one's
thoughts. Emotional expressions of the persuader have a strong impact to the recipient's …

[PDF][PDF] 遠隔操作アンドロイドを用いたマルチモーダル説得対話コーパスの収集と分析

有岡無敵, 山本賢太, 井上昂治, 河原達也… - 言語処理学会第 28 回年 …, 2022 - anlp.jp
概要対話を通じてユーザに行動変容を促す説得対話システムについての研究を行うため,
マルチモーダル情報を含む説得対話コーパスの収録を行った. 具体的には, WoZ …

A data-driven approach to spoken dialog segmentation

D Griol, JM Molina, A Sanchis, Z Callejas - Neurocomputing, 2020 - Elsevier
In this paper, we present a statistical model for spoken dialog segmentation that decides the
current phase of the dialog by means of an automatic classification process. We have …