TY  - JOUR
AU  - Ujhelyi, Adrienn
AU  - Zsoldos, Balázs
TI  - Mesterséges intelligencia a terápiában
JF  - ALKALMAZOTT PSZICHOLÓGIA
J2  - ALKALMAZOTT PSZICHOLÓGIA
VL  - 22
PY  - 2022
IS  - 3
SP  - 81
EP  - 91
PG  - 11
SN  - 1419-872X
DO  - 10.17627/ALKPSZICH.2022.3.81
UR  - https://m2.mtmt.hu/api/publication/34000418
ID  - 34000418
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Ujhelyi, Adrienn
AU  - Almosdi, Flora
AU  - Fodor, Alexandra
TI  - Would You Pass the Turing Test? Influencing Factors of the Turing Decision
JF  - PSIHOLOGIJSKE TEME / PSYCHOLOGICAL TOPICS
J2  - PSIHOLOGIJSKE TEME / PSYCHOLOGICAL TOPICS
VL  - 31
PY  - 2022
IS  - 1
SP  - 185
EP  - 202
PG  - 18
SN  - 1332-0742
DO  - 10.31820/pt.31.1.9
UR  - https://m2.mtmt.hu/api/publication/33780545
ID  - 33780545
AB  - We aimed to contribute to the emerging field of human-computer interaction by revealing some of the cues we use to distinguish humans from machines. Maybe the most well-known method of inquiry in artificialintelligence is the Turing test, in which participants have to judge whether their conversation partner is either a machine or human. In two studies, we used the Turing test as an opportunity to reveal the factorsinfluencing Turing decisions. In our first study, we created a situation similar to a Turing test: a written, online conversation and we hypothesized that if the other entity expresses a view different fromours, we might think that they are a member of another group, in this case, the group of machines. We measured the attitude of the participants (N = 100) before the conversation, then we compared the attitude difference of the partners to their Turing decision. Our results showed a significant relationship between the Turing decision and the attitude difference of the conversation partners. The more difference between attitudes correlated with a more likely decision of the other being a machine. With our second study, we wanted to widen therange of variables and we also wanted to measure their effect in a morecontrolled, systematic way. In this case, our participants (N = 632) were exposed to an excerpt of a manipulated Turing test transcription. The dialogues were modified based on 8 variables: humour, grammar, activity, the similarity of attitude, coherence, leading the conversation, emoji use, and the appearance of the interface. Our results showed that logical answers, proper grammar, and similar attitudes predicted the Turing decisions best. We also found that more people considered mistaking a computer for a human being a bigger problem than vice versa and this choice was greatly influenced by the participants’ negative attitudes towards robots. Besides contributing toour understanding of our attitude toward machines, our study has also shed light on the consequences of dehumanization.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Zsoldos, Balázs
AU  - Ujhelyi, Adrienn
TI  - Az ember-robot-interakció szociálpszichológiai kérdései. Szakirodalmi összefoglaló
TS  - Szakirodalmi összefoglaló
JF  - ALKALMAZOTT PSZICHOLÓGIA
J2  - ALKALMAZOTT PSZICHOLÓGIA
VL  - 22
PY  - 2022
IS  - 4
SP  - 31
EP  - 41
PG  - 15
SN  - 1419-872X
DO  - 10.17627/ALKPSZICH.2022.4.31
UR  - https://m2.mtmt.hu/api/publication/33633223
ID  - 33633223
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Ujhelyi, Adrienn
ED  - Faragó, Klára
ED  - Dúll, Andrea
ED  - Nguyen Luú Lan, Anh
TI  - A közösségi média szerepe a társadalmi változásokban
T2  - A társadalmi változások indítékai és fékjei
PB  - Akadémiai Kiadó
CY  - Budapest
SN  - 9789634548362
PY  - 2022
SP  - 317
EP  - 332
PG  - 16
UR  - https://m2.mtmt.hu/api/publication/33135868
ID  - 33135868
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Akil, Atakan Mustafa
AU  - Ujhelyi, Adrienn
AU  - Logemann, Herman Nico Alexander
TI  - Exposure to Depression Memes on Social Media Increases Depressive Mood and It Is Moderated by Self-Regulation: Evidence From Self-Report and Resting EEG Assessments
JF  - FRONTIERS IN PSYCHOLOGY
J2  - FRONT PSYCHOL
VL  - 13
PY  - 2022
SN  - 1664-1078
DO  - 10.3389/fpsyg.2022.880065
UR  - https://m2.mtmt.hu/api/publication/32916881
ID  - 32916881
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Fejes-Vékássy, Lili
AU  - Ujhelyi, Adrienn
AU  - Faragó, Laura
TI  - From #RelationshipGoals to #Heartbreak – We use Instagram differently in various romantic relationship statuses
JF  - CURRENT PSYCHOLOGY
J2  - CURR PSYCHOL
VL  - 41
PY  - 2022
SP  - 6825
EP  - 6837
PG  - 13
SN  - 1046-1310
DO  - 10.1007/s12144-020-01187-0
UR  - https://m2.mtmt.hu/api/publication/31666858
ID  - 31666858
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Fejes-Vékássy, Lili
AU  - Ujhelyi, Adrienn
TI  - Are you Instagram-official? - Love, Social Media, and their Impact on Each Other
JF  - Inquisitive Mind
VL  - 43
PY  - 2020
IS  - 1
SP  - 1
EP  - 4
PG  - 4
SN  - 1877-5306
UR  - https://m2.mtmt.hu/api/publication/32035766
ID  - 32035766
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Brandt, Mark J.
AU  - Kuppens, Toon
AU  - Spears, Russell
AU  - Andrighetto, Luca
AU  - Autin, Frederique
AU  - Babincak, Peter
AU  - Badea, Constantina
AU  - Bae, Jaechang
AU  - Batruch, Anatolia
AU  - Becker, Julia C.
AU  - Bocian, Konrad
AU  - Bodroža, Bojana
AU  - Bourguignon, David
AU  - Bukowski, Marcin
AU  - Butera, Fabrizio
AU  - Butler, Sarah E.
AU  - Chryssochoou, Xenia
AU  - Conway, Paul
AU  - Crawford, Jarret T.
AU  - Croizet, Jean‐Claude
AU  - de Lemus, Soledad
AU  - Degner, Juliane
AU  - Dragon, Piotr
AU  - Durante, Federica
AU  - Easterbrook, Matthew J.
AU  - Essien, Iniobong
AU  - Forgas, Joseph P.
AU  - González, Roberto
AU  - Graf, Sylvie
AU  - Halama, Peter
AU  - Han, Gyuseog
AU  - Hong, Ryan Y
AU  - Houdek, Petr
AU  - Igou, Eric R.
AU  - Inbar, Yoel
AU  - Jetten, Jolanda
AU  - Jimenez Leal, William
AU  - Jiménez‐Moya, Gloria
AU  - Kumar Karunagharan, Jaya
AU  - Kende, Anna
AU  - Korzh, Maria
AU  - Laham, Simon M.
AU  - Lammers, Joris
AU  - Lim, Li
AU  - Manstead, Antony S.R.
AU  - Međedović, Janko
AU  - Melton, Zachary J.
AU  - Motyl, Matt
AU  - Ntani, Spyridoula
AU  - Kevin Owuamalam, Chuma
AU  - Peker, Müjde
AU  - Platow, Michael J.
AU  - Prims, JP
AU  - Reyna, Christine
AU  - Rubin, Mark
AU  - Saab, Rim
AU  - Sankaran, Sindhuja
AU  - Shepherd, Lee
AU  - Sibley, Chris G.
AU  - Sobkow, Agata
AU  - Spruyt, Bram
AU  - Stroebaek, Pernille
AU  - Sümer, Nebi
AU  - Sweetman, Joseph
AU  - Teixeira, Catia
AU  - Toma, Claudia
AU  - Ujhelyi, Adrienn
AU  - van der Toorn, Jojanneke
AU  - van Hiel, Alain
AU  - Vásquez‐ Echeverría, Alejandro
AU  - Vazquez, Alexandra
AU  - Vianello, Michelangelo
AU  - Vranka, Marek
AU  - Yzerbyt, Vincent
AU  - Zimmerman, Jennifer L.
TI  - Subjective Status and Perceived Legitimacy across Countries
JF  - EUROPEAN JOURNAL OF SOCIAL PSYCHOLOGY
J2  - EUR J SOC PSYCHOL
VL  - 50
PY  - 2020
IS  - 5
SP  - 921
EP  - 942
PG  - 22
SN  - 0046-2772
DO  - 10.1002/ejsp.2694
UR  - https://m2.mtmt.hu/api/publication/31361859
ID  - 31361859
LA  - English
DB  - MTMT
ER  - 

TY  - GEN
AU  - Fejes-Vékássy, Lili
AU  - Engyel, Márton Dávid
AU  - Ujhelyi, Adrienn
TI  - Self-esteem, Narcissism and Social Media Activity: How do they affect each other?
PY  - 2019
UR  - https://m2.mtmt.hu/api/publication/31837362
ID  - 31837362
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - File, Bálint
AU  - Keczer, Zsolt
AU  - Vancsó, Anna
AU  - Bőthe, Beáta
AU  - Tóth-Király, István
AU  - Hunyadi, Márton
AU  - Ujhelyi, Adrienn
AU  - Ulbert, István
AU  - Góth, Julia
AU  - Orosz, Gábor
TI  - Emergence of polarized opinions from free association networks
JF  - BEHAVIOR RESEARCH METHODS
J2  - BEHAV RES METHODS
VL  - 51
PY  - 2019
IS  - 1
SP  - 280
EP  - 294
PG  - 15
SN  - 1554-351X
DO  - 10.3758/s13428-018-1090-z
UR  - https://m2.mtmt.hu/api/publication/30404624
ID  - 30404624
AB  - We developed a method that can identify polarized public opinions by finding modules in a network of statistically related free word associations. Associations to the cue “migrant” were collected from two independent and comprehensive samples in Hungary (N1 = 505, N2 = 505). The co-occurrence-based relations of the free word associations reflected emotional similarity, and the modules of the association network were validated with well-established measures. The positive pole of the associations was gathered around the concept of “Refugees” who need help, whereas the negative pole associated asylum seekers with “Violence”. The results were relatively consistent in the two independent samples. We demonstrated that analyzing the modular organization of association networks can be a tool for identifying the most important dimensions of public opinion about a relevant social issue without using predefined constructs.
LA  - English
DB  - MTMT
ER  -