É um cenário com o qual muitos de nós estamos familiarizados: você se senta no sofá depois de um longo dia de trabalho e liga o Netflix. Um trailer de um programa do qual você nunca ouviu falar começa a ser reproduzido automaticamente...
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)
Um grupo de pesquisadores da Universidade de Chicago conduziu um estudo para investigar como certos recursos da Netflix prejudicam silenciosamente nossa agência e nos mantêm assistindo a conteúdo selecionado por mais tempo. Crédito: Yousaf Bhutta/Pixabay
É um cenário com o qual muitos de nós estamos familiarizados: você se senta no sofá depois de um longo dia de trabalho e liga o Netflix. Um trailer de um programa do qual você nunca ouviu falar começa a ser reproduzido automaticamente na tela inicial e você percebe que ele tem o adesivo vermelho "top 10" sobre ele. Você pensa consigo mesmo: "Vou dar um episódio e depois vou para a cama". Mas antes que você perceba, o próximo episódio está na fila para jogar, e você não pode pará-lo rápido o suficiente. Agora que a cena de abertura começou, você decide que mais um episódio não vai doer.
De repente, a hora de dormir está em segundo plano e amanhã parece outro longo dia.
Quantas dessas escolhas você realmente fez? Este é um programa que você teria assistido se não fosse a pré-visualização automática na parte superior da tela? Se você tivesse um pouco mais de tempo para pegar o controle remoto e apertar stop, você teria escolhido desligar o programa e ir para a cama?
Um grupo de pesquisadores do Amyoli Internet Research Lab, liderado pelo professor assistente de ciência da computação da UChicago, Marshini Chetty, realizou um estudo qualitativo do usuário para esclarecer com que frequência permitimos que serviços de vídeo sob demanda por assinatura, como o Netflix, façam escolhas por nós.
O estudo baseado em entrevistas procurou responder a perguntas sobre as motivações do usuário para assistir, a relação entre o design da plataforma Netflix e o senso de agência do usuário sobre o gerenciamento do tempo e o senso de agência do usuário sobre a escolha do conteúdo.
Um original de pesquisa da Netflix
Atualmente, a Netflix atende a 75 milhões de assinantes nos EUA e no Canadá, com mais de 221 milhões de assinantes em todo o mundo. Isso o torna o maior serviço de vídeo sob demanda por assinatura disponível até o momento. Mas Brennan Schaffner, um Ph.D. do terceiro ano da UChicago. O aluno que liderou este trabalho descobriu que, apesar do vasto alcance social da plataforma, não havia muita pesquisa sendo feita nessa área antes de seu estudo.
"É surpreendente porque é um dos sites mais usados ??do mundo e ainda não foi muito explorado", disse Schaffner. "Acho que alguns veem isso como uma forma inocente de entretenimento em vez de algo como um site de notícias, que pode chamar mais atenção. Mas acho que estamos perdendo um pouco o foco porque é importante. O que vemos na TV realmente afeta nossas conversas sociais, cultura e muito de nossas vidas."
O estudo de Schaffner, que será apresentado na conferência Computer Supported Cooperative Work and Social Computing em 2023, é o resultado de entrevistas com 20 participantes que usavam o Netflix regularmente. Os cientistas perguntaram aos participantes sobre suas experiências e percepções de recursos no design da plataforma Netflix que podem afetar seu senso de agência.
O sucesso das empresas de tecnologia geralmente depende de sua capacidade de manter os usuários engajados, o que às vezes pode prejudicar o bem-estar dos usuários. Algumas maneiras pelas quais a Netflix faz isso é pré-visualizando automaticamente o conteúdo na parte superior da tela inicial , listando um catálogo dos dez programas mais assistidos e pré-selecionando recomendações atraentes.
A conveniência desses recursos é suficiente para impedir que a maioria das pessoas questione a intenção, mas essa nova pesquisa mostra que vale a pena considerar que essas são táticas de manipulação semelhantes a interfaces enganosas ou padrões obscuros encontrados online.
O artigo de Schaffner referiu-se a "13 Reasons Why", um programa produzido e promovido pela Netflix, para destacar um exemplo de resultados prejudiciais à saúde pública. A série de sucesso de quatro temporadas focou no suicídio romantizado de um adolescente atormentado pelo drama do ensino médio. Após o lançamento do programa, houve um aumento significativo nas taxas de suicídio de meninos de 10 a 17 anos nos Estados Unidos.
"Existem muitas taxonomias e definições diferentes para padrões sombrios. Achamos que alguns recursos da Netflix se encaixam nessas definições", disse Schaffner. "É tudo sobre como a arquitetura de escolha está sendo manipulada. No caso da reprodução automática, a arquitetura de escolha está definitivamente sendo manipulada e sua escolha está sendo feita para você. Em alguns casos, como a visualização automática, você nem tem o escolha. Você acabou de pousar na plataforma e de repente você está vendo essas coisas."
Recomendado - ou não
Existem mais de cinco mil títulos disponíveis no Netflix, mas os assinantes veem apenas uma pequena parte desses títulos. Enquanto a maioria dos participantes do estudo mencionou o uso dessas recomendações da Netflix, muitos participantes citaram essas recomendações como a maneira menos favorita de obter conteúdo.
Um entrevistado apontou falta de confiança. "Parece um pouco coercitivo, um pouco manipulador, o que o mecanismo de recomendação está fazendo. Especialmente aquelas coisas na interface do usuário ou as recomendações que me fazem assistir mais e mais TV", disse o entrevistado. "Às vezes sinto que estou assistindo Netflix demais. Sei que a culpa é principalmente minha, mas às vezes parece que estou assistindo mais Netflix porque estou interagindo com as recomendações de uma certa maneira."
Em vez disso, os participantes do estudo preferiram mais recomendações de humano para humano. A ideia de que amigos e familiares estavam mais sintonizados com os interesses dos participantes tornou suas recomendações mais atraentes. Além disso, acrescentou um componente social à experiência, permitindo aos participantes a possibilidade de falar sobre um espetáculo como forma de vínculo.
A Netflix também emprega táticas como o recurso de reprodução automática para nos manter na frente da televisão por mais tempo. O próximo episódio será reproduzido automaticamente após cinco segundos se não estiver desativado e, para desativar esse recurso, você terá que acessar o computador e fazê-lo usando o navegador da web. Muitos entrevistados não perceberam que isso era uma opção.
Alguns participantes gostaram da conveniência do jogo automático, mas alguns criticaram como isso desencorajava o tempo para reflexão ou tomada de decisão consciente. Um participante disse: "É um pouco chocante porque às vezes eu quero sentar lá e processar o filme. Sinto muito fortemente que não quero ter algo de reprodução automática que não escolhi assistir. Eu realmente sinto como se eu tivesse que correr para desligá-lo."
Quando questionados sobre as motivações dos participantes para assistir, a maioria assistiu para o gerenciamento de humor do tipo escapismo e muitas vezes assistiram sozinhos. Os sentimentos associados à decisão de assistir eram geralmente negativos, como tédio, exaustão ou infelicidade geral. Isso poderia levar a mais disposição para a falta de agência também. A Netflix usa recursos que facilitam a entrega do controle quando simplesmente queremos nos divertir sem pensar nisso.
Schaffner e o restante dos pesquisadores que conduziram o estudo fazem recomendações de maneiras pelas quais a Netflix pode devolver parte desse poder de decisão ao usuário. Por um lado, o botão de alternância para desativar a reprodução automática e a visualização automática deve ser mais acessível. Se aqueles que estão assistindo veem que é uma opção, a decisão se torna menos subconsciente e mais proposital por natureza.
Em segundo lugar, a Netflix poderia projetar a plataforma para mais recursos de pessoa para pessoa quando se trata de recomendações de conteúdo. Uma sugestão seria permitir que os usuários criem e compartilhem manualmente filas de exibição com amigos ou familiares, semelhantes às listas de reprodução do Spotify.
Aqueles que contribuíram para o artigo continuam suas pesquisas sobre escolhas de design manipulativo, e Schaffner pretende continuar esclarecendo como interagimos com o conteúdo do serviço de vídeo sob demanda por assinatura e os elementos de design.
"A declaração de missão do laboratório é tornar a internet mais confiável e inclusiva", disse Schaffner. "Então é isso que une amplamente nosso grupo de pesquisa e alimenta essa pesquisa no futuro."
Mais informações: Não deixe a Netflix dirigir o ônibus: senso de agência do usuário ao longo do tempo e escolha de conteúdo na Netflix. www.marshini.net/_files/ugd/15 … b36f4f96511df85d.pdf