Nem sempre épossível determinar a emoção a partir dos movimentos faciais de alguém , nem a IA
As pessoas podem arregalar os olhos porque estãocom raiva ou porque estãosurpresas, e o cérebro humano depende do contexto para resolver esse quebra-cabea§a.
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)
Uma nova pesquisa da neurocientista nordestina Lisa Feldman Barrett mostra que a interpretação da expressão facial de uma pessoa não pode ser feita no va¡cuo; depende do contexto. Crédito: Matthew Modoono / Northeastern University
Se vocêvisse uma pessoa com a testa franzida, a boca voltada para baixo e os olhos semicerrados, vocêdiria que ela estãocom raiva? E se vocêdescobrisse que eles haviam esquecido os a³culos de leitura e estavam decifrando o carda¡pio de um restaurante?
A interpretação dos movimentos faciais de uma pessoa não pode ser feita no va¡cuo; depende do contexto - algo que a neurocientista nordestina Lisa Feldman Barrett mostra em um novo estudo inovador publicado quinta-feira na revista cientafica Nature Communications .
Barrett, um distinto professor universita¡rio de psicologia da Northeastern, e colegas de várias outras instituições ao redor do mundo usaram fotos de atores profissionais retratando cenários ricamente construados para mostrar que as pessoas não apenas usam diferentes movimentos faciais para comunicar diferentes insta¢ncias da mesma categoria de emoção (alguém podem franzir a testa, franzir a testa ou atémesmo rir quando estãoretratando a raiva), eles também empregam configurações faciais semelhantes para comunicar uma sanãrie de insta¢ncias de diferentes categorias de emoções (uma carranca a s vezes pode expressar concentração, por exemplo) - descobertas que tem sanãrias implicações para tecnologia de reconhecimento de emoções que pretende "ler" emoções no rosto.
"A implicação deste estudo éque hámuito mais variabilidade na maneira como as pessoas expressam diferentes insta¢ncias de uma determinada categoria de emoção. E uma configuração facial pode expressar insta¢ncias de raiva, felicidade ou outras categorias de emoção, dependendo do contexto". Barrett diz.
As pessoas podem arregalar os olhos porque estãocom raiva ou porque estãosurpresas, e o cérebro humano depende do contexto para resolver esse quebra-cabea§a.
Estudos cientaficos anteriores de expressaµes emocionais contaram com pessoas comuns ou atores amadores para retratar uma única insta¢ncia de cada categoria de emoção em um contexto empobrecido: "Seu primo acabou de morrer e vocêse sente muito triste. Que expressão vocêfaria?"
Essas representações sugerem que as pessoas se apoiem em expressaµes estereotipadas de emoção (carrancudo de tristeza), em vez de expressaµes que refletem uma vida emocional mais rica, cheia de nuances e variações situadas, diz Barrett.
Portanto, para seu estudo, Barrett e seus coautores usaram fotos de atores profissionais - pessoas com "experiência em emoção" porque seus pra³prios meios de subsistaªncia dependem de "seu retrato autaªntico de experiências emocionais em filmes, televisão e teatro", de uma forma que transmite informações verossameis, escrevem os pesquisadores.
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Os atores receberam um cena¡rio detalhado de evocação de emoção para atuar e, em seguida, fotografado por Howard Schatz (que também criou os cenários) para dois volumes publicados: Em personagem: Atores atuando e Pego no ato: Atores atuando.
Um exemplo dos livros de Schatz: "Ele éum cara da motocicleta saindo de um bar de motoqueiros assim como um cara em um Porsche volta para sua Harley reluzente", de acordo com o artigo dos pesquisadores.
"O importante éque esses atores famosos receberam um cena¡rio sem palavras de emoção", diz Barrett, o que elimina a conexão imediata que se pode fazer entre, por exemplo, a palavra "triste" e a expressão facial "carranca".
Os pesquisadores usaram 604 das 731 fotografias dos livros de Schatz, eliminando apenas aquelas em que as poses faciais dos atores não puderam ser analisadas porque suas ma£os cobriram o rosto ou porque suas cabea§as estavam extremamente inclinadas.
Eles usaram essas fotos e cenários para executar dois estudos. No primeiro, os pesquisadores pediram a 839 voluntários que julgassem sozinhos os significados emocionais das descrições de cenários. Cada volunta¡rio avaliou cerca de 30 cenários, usando uma escala de 1 a 4 para indicar atéque ponto uma das 13 emoções foi evocada na descrição: diversão, raiva, temor, desprezo, repulsa, vergonha, medo, felicidade, interesse, orgulho, tristeza , vergonha e surpresa.
Eles usaram a avaliação mediana de cada cena¡rio para classifica¡-lo em uma dessas 13 categorias de emoções. Os pesquisadores também convocaram três especialistas para codificar as 604 fotografias usando o Sistema de Codificação de Ação Facial, que especifica um conjunto de unidades de ação em que cada uma representa o movimento de um ou mais maºsculos faciais.
De acordo com uma hipa³tese antiga, certas categorias de emoções são expressas de forma consistente e especafica com certos conjuntos de movimentos faciais. Se fosse esse o caso, todas as descrições de cenários classificadas como insta¢ncias evocativas de uma determinada categoria de emoção deveriam corresponder a fotografias que retratam consistentemente um conjunto especafico de movimentos faciais.
Ou, como diz Barrett, "Se as configurações faciais em questão- carrancudo, sorriso, carranca e assim por diante - são expressaµes que evoluaram para comunicar emoções especaficas, vocêdeve ver atores famosos fazendo carranca ao retratar insta¢ncias de raiva e apenas raiva, posando franze a testa ao retratar a tristeza, e assim por diante. "
Os pesquisadores executaram análises de aprendizado de ma¡quina, que revelaram que os atores retratavam insta¢ncias das mesmas categorias de emoções contorcendo seus rostos de várias maneiras. Além disso, poses faciais semelhantes não expressavam de forma confia¡vel a mesma categoria emocional.
Para testar se os movimentos faciais, por si são, carregam alguma informação emocional independente do contexto, os pesquisadores pediram a mais dois grupos de voluntários para julgar o significado emocional de cada pose facial, seja quando apresentada isoladamente ou com seu cena¡rio correspondente.
O primeiro grupo, 842 pessoas, avaliou cerca de 30 rostos cada. O segundo grupo, 845 pessoas, avaliou cerca de 30 pares de rostos e cenários. Ambos os grupos foram solicitados a julgar atéque ponto seus rostos ou pares de rosto e cena¡rio pertenciam a cada uma das 13 categorias de emoções.
Se os movimentos faciais carregam informações emocionais independentemente do contexto, então as classificações dos rostos por si são deveriam ser muito semelhantes a s classificações dos pares rosto-cena¡rio. Se o significado emocional dos movimentos faciais vem principalmente do contexto ao qual eles estãoassociados, então as classificações iniciais dos cenários por si são seriam mais semelhantes a s classificações dos cenários de rosto.
Os pesquisadores descobriram que os julgamentos das pessoas sobre as poses faciais por si são não correspondiam de forma confia¡vel a s avaliações dos rostos quando eram vistos com o cena¡rio; eles também não correspondiam a categoria de emoção designada do cena¡rio. Os significados emocionais das poses faciais vieram principalmente dos cenários com os quais eles foram pareados, ou seja, o contexto.
"As presentes descobertas se juntam a outros resumos recentes das evidaªncias emparicas para sugerir que carrancas, sorrisos e outras configurações faciais pertencem a um repertório maior e mais varia¡vel das maneiras significativas pelas quais as pessoas movem seus rostos para expressar emoções", escreveram os pesquisadores.
Em outras palavras, diz Barrett, "as pessoas inferem o significado do seu sorriso e suas inferaªncias são informadas pelo contexto. Quando se trata de expressar emoção, um rosto não fala por si".
As descobertas dos pesquisadores tem implicações para os tipos de sistemas artificialmente inteligentes que alguns engenheiros afirmam ser capazes de decifrar a emoção de alguém rastreando apenas seus movimentos faciais.
As empresas já estãousando sistemas movidos a IA para avaliar as emoções das criana§as a medida que aprendem, fazem julgamentos sobre candidatos em potencial a empregos e adivinham as supostas intenções nefastas de um passageiro de avia£o.
"Nossa pesquisa vai contra a abordagem tradicional da IA ​​emocional", diz Barrett. "Certas empresas afirmam ter algoritmos que podem detectar raiva, por exemplo, quando o que realmente tem - em circunsta¢ncias ideais - são algoritmos que provavelmente podem detectar carranca, que pode ou não ser uma expressão de raiva. a‰ importante não confundir o descrição de uma configuração facial com inferaªncias sobre seu significado emocional . "