Publication Name	World Journal of Psychiatry
Manuscript ID	78300
Country	Iran

Received	2022-06-19 09:23
Peer-Review Started	2022-06-19 09:24
To Make the First Decision
Return for Revision	2022-09-04 07:39
Revised	2022-09-18 16:34
Second Decision	2022-12-21 03:33
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2022-12-21 08:47
Articles in Press	2022-12-21 08:47
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2023-01-10 09:19
Publish the Manuscript Online	2023-01-13 02:48

ISSN	2220-3206 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Psychology
Manuscript Type	Review
Article Title	Emotion recognition support system: Where physicians and psychiatrists meet linguists and data engineers
Manuscript Source	Invited Manuscript
All Author List	Peyman Adibi, Simindokht Kalani, Sayed Jalal Zahabi, Homa Asadi, Mohsen Bakhtiar, Mohammad Reza Heidarpour, Hamidreza Roohafza, Hassan Shahoon and Mohammad Amouzadeh
Funding Agency and Grant Number
Corresponding Author	Sayed Jalal Zahabi, PhD, Assistant Professor, Department of Electrical and Computer Engineering, Isfahan University of Technology, Esteghlal Square, Isfahan 8415683111, Isfahan, Iran. zahabi@iut.ac.ir
Key Words	Physician-Patient relations; Emotions; Verbal behavior; Linguistics; Psychology; Data science
Core Tip	In the context of doctor-patient interactions, we focus on patient speech emotion recognition as a multifaceted problem viewed from three main perspectives: Psychology/psychiatry, linguistics, and data science. Reviewing the key elements and approaches within each of these perspectives, and surveying the current literature on them, we recognize the lack of a systematic comprehensive collaboration among the three disciplines. Thus, motivated by the necessity of such multidisciplinary collaboration, we propose an integrated platform for patient emotion recognition, as a collaborative framework towards clinical decision support.
Publish Date	2023-01-13 02:48
Citation	Adibi P, Kalani S, Zahabi SJ, Asadi H, Bakhtiar M, Heidarpour MR, Roohafza H, Shahoon H, Amouzadeh M. Emotion recognition support system: Where physicians and psychiatrists meet linguists and data engineers. World J Psychiatry 2023; 13(1): 1-14
URL	https://www.wjgnet.com/2220-3206/full/v13/i1/1.htm
DOI	https://dx.doi.org/10.5498/wjp.v13.i1.1

Full Article (PDF)	WJP-13-1.pdf
Full Article (Word)	WJP-13-1.docx
Manuscript File	78300_Auto_Edited-JLW.docx
Answering Reviewers	78300-Answering reviewers.pdf
Audio Core Tip	78300-Audio core tip.aac
Conflict-of-Interest Disclosure Form	78300-Conflict-of-interest statement.pdf
Copyright License Agreement	78300-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	78300-Language certificate.pdf
Supplementary Material	78300-Supplementary material.pdf
Peer-review Report	78300-Peer-review(s).pdf
Scientific Misconduct Check	78300-Bing-Liu XF-2.png
Scientific Editor Work List	78300-Scientific editor work list.pdf
CrossCheck Report	78300-CrossCheck report.pdf