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Data sheet of PhD student
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Contact details
E-mail address korcsokbeagmail.com
Supervision
thesis supervisor Péter Korondi
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2014
date of final certificate (year,month) 2017/08
deadline to accomplish doctoral procedure(year,month) 2024/02
Employment
2017 - Budapest University of Technology and Economics
other (not specified) (tanársegéd)
Publications
2020

Korcsok Beáta, Faragó Tamás, Ferdinandy Bence, Miklósi Ádám, Korondi Péter, Gácsi Márta: Artificial sounds following biological rules: A novel approach for non-verbal communication in HRI, SCIENTIFIC REPORTS 10: (1) pp. 1-13.
type of document: Journal paper/Article
language: English
URL 
2019

Nagy Balázs, Korcsok Beáta, Nánási József, Niitsuma Mihoko: EthoCar, Human-Dog Interaction Inspired Human-Autonomous Car Communication, CAX TECHNOLOGIES JOURNAL 2019: (7) pp. 5-12.
type of document: Journal paper/Article
language: English
2018

Konok V, Korcsok B, Miklósi Á, Gácsi M: Should we love robots? – The most liked qualities of companion dogs and how they can be implemented in social robots, COMPUTERS IN HUMAN BEHAVIOR 80: pp. 132-142.
type of document: Journal paper/Article
number of independent citations: 15
language: English
URL 
2018

Korcsok Beáta, Konok Veronika, Persa György, Faragó Tamás, Niitsuma Mihoko, Miklósi Ádám, Korondi Péter, Baranyi Péter, Gácsi Márta: Biologically Inspired Emotional Expressions for Artificial Agents, FRONTIERS IN PSYCHOLOGY 9: 1191
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2018

Abdai Judit, Korcsok Beáta, Korondi Péter, Miklósi Ádám: Methodological challenges of the use of robots in ethological research, Animal Behavior And Cognition 5: (4) pp. 326-340.
type of document: Journal paper/Review paper
number of independent citations: 4
language: English
URL 
2015

Korondi Péter, Korcsok Beáta, Kovács Szilveszter, Niitsuma Mihoko: Etho-robotics: What kind of behaviour can we learn from the animals?, IFAC PAPERSONLINE 48: (19) pp. 244-255.
type of document: Journal paper/Article
number of independent citations: 9
language: English
URL 
2015

Dr. Fekete Róbert Tamás, Korcsok Beáta, Raj Levente: Affective psychological basis of behavioural modelling and simulation in ethorobotics, In: Korondi, Péter (szerk.) CERiS'15, (2015) pp. 30-39.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 2
language: Hungarian
2014

Faragó Tamás, Miklósi Ádám, Korcsok Beáta, Száraz Judit, Gácsi Márta: Social behaviours in dog-owner interactions can serve as a model for designing social robots, INTERACTION STUDIES 15: (2) pp. 143-172.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2014

Faragó Tamás, Gácsi Márta, Korcsok Beáta, Miklósi Ádám: Why is a dog-behaviour-inspired social robot not a doggy-robot?, INTERACTION STUDIES 15: (2) pp. 224-232.
type of document: Journal paper/Article
language: English
URL 
2014

Korcsok Beáta, Korondi Péter, Miklósi Ádám: Az etológia szerepe a szociális robotok fejlesztésében, In: Korondi, Péter (szerk.) Proceedings of ARES’14, BUTE (2014) pp. 66-70.
type of document: Part of book/Proceedings Paper
language: Hungarian
Number of independent citations to these publications:36 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
10
number of scientific publications:
10
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
 
number of independent citations to scientific publications and creative works:
36
Research
research area Social robotics, human-robot interactions. Ethologically inspired robot behaviour, the use of ethological models in social robotics.
research field in which current research is conducted mechanical engineering
biology

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )