Quando as pessoas estão de mau humor, elas podem ser mais rápidas em detectar inconsistências nas coisas que lêem, sugere um novo estudo conduzido pela Universidade do Arizona.
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)
Domínio público
Quando as pessoas estão de mau humor, elas podem ser mais rápidas em detectar inconsistências nas coisas que lêem, sugere um novo estudo conduzido pela Universidade do Arizona.
O estudo, publicado na Frontiers in Communication , baseia-se em pesquisas existentes sobre como o cérebro processa a linguagem.
Vicky Lai, professora assistente de psicologia e ciência cognitiva da UArizona , trabalhou com colaboradores na Holanda para explorar como o cérebro das pessoas reage à linguagem quando estão de bom humor versus um humor negativo .
"O humor e a linguagem parecem ser suportados por diferentes redes cerebrais. Mas nós temos um cérebro, e os dois são processados ??no mesmo cérebro, então há muita interação acontecendo", disse Lai. "Mostramos que quando as pessoas estão de mau humor, elas são mais cuidadosas e analíticas. Elas examinam o que é realmente declarado em um texto e não recorrem apenas ao seu conhecimento de mundo padrão".
Lai e seus coautores do estudo, o pesquisador Jos van Berkum, da Universidade de Utrecht, na Holanda, e Peter Hagoort, do Instituto Max Planck de Psicolinguística, na Holanda, começaram a manipular o humor dos participantes do estudo, mostrando-lhes clipes de um filme triste - "A Escolha de Sofia "—ou um programa de televisão engraçado—"Amigos". Uma pesquisa computadorizada foi usada para avaliar o humor dos participantes antes e depois de assistir aos clipes. Enquanto os clipes engraçados não impactaram o humor dos participantes, os clipes tristes conseguiram colocar os participantes em um humor mais negativo, descobriram os pesquisadores.
Os participantes então ouviram uma série de gravações de áudio emocionalmente neutras de histórias de quatro frases, cada uma contendo uma "frase crítica" que apoiava ou violava o conhecimento de palavras padrão ou familiar. Essa frase foi exibida uma palavra por vez na tela do computador, enquanto as ondas cerebrais dos participantes eram monitoradas por EEG, um teste que mede as ondas cerebrais.
Por exemplo, os pesquisadores apresentaram aos participantes do estudo uma história sobre dirigir à noite que terminava com a frase crítica "Com as luzes acesas, você pode ver mais". Em uma história separada sobre observação de estrelas, a mesma frase crítica foi alterada para ler "Com as luzes acesas, você pode ver menos". Embora essa afirmação seja precisa no contexto da observação de estrelas, a ideia de que acender as luzes faria com que uma pessoa visse menos é um conceito muito menos familiar que desafia o conhecimento padrão.
Os pesquisadores também apresentaram versões das histórias em que as frases críticas foram trocadas para que não se encaixassem no contexto da história. Por exemplo, a história sobre dirigir à noite incluiria a frase "Com as luzes acesas, você pode ver menos".
Eles então observaram como o cérebro reagia às inconsistências, dependendo do humor.
Eles descobriram que, quando os participantes estavam de mau humor, com base nas respostas da pesquisa, eles mostravam um tipo de atividade cerebral intimamente associada à reanálise.
“Mostramos que o humor é importante e, talvez, quando realizamos algumas tarefas, devamos prestar atenção ao nosso humor”, disse Lai. "Se estamos de mau humor, talvez devêssemos fazer coisas mais detalhistas, como revisar."
Os participantes do estudo completaram o experimento duas vezes – uma vez na condição de humor negativo e outra na condição de humor feliz. Cada julgamento ocorreu com uma semana de intervalo, com as mesmas histórias apresentadas a cada vez.
“São as mesmas histórias, mas em humores diferentes, o cérebro as vê de maneira diferente, sendo o humor triste o humor mais analítico”, disse Lai.
O estudo foi realizado na Holanda; os participantes eram falantes nativos de holandês e o estudo foi conduzido em holandês. Mas Lai acredita que suas descobertas se traduzem em idiomas e culturas.
Por design, os participantes do estudo eram todos mulheres, porque Lai e seus colegas queriam alinhar seu estudo com a literatura existente que era limitada a participantes do sexo feminino . Lai disse que estudos futuros devem incluir uma representação de gênero mais diversificada.
Enquanto isso, Lai e seus colegas dizem que o humor pode nos afetar de mais maneiras do que pensávamos anteriormente.
"Ao pensar em como o humor os afeta, muitas pessoas consideram coisas como ficar mal-humorado, comer mais sorvete ou, na melhor das hipóteses, interpretar a fala de outra pessoa de maneira tendenciosa", disse van Berkum.
"Mas há muito mais acontecendo, também em cantos inesperados de nossas mentes. Isso é realmente interessante. Imagine seu laptop sendo mais ou menos preciso em função do nível de bateria - isso é impensável. Mas no processamento de informações humanas e, presumivelmente, também em ( processamento de informações) de espécies relacionadas, algo assim parece estar acontecendo."
Mais informações: Vicky Tzuyin Lai et al, O afeto negativo aumenta a reanálise dos conflitos entre o contexto do discurso e o conhecimento do mundo, Frontiers in Communication (2022). DOI: 10.3389/fcomm.2022.910482