Bibliotecas Inteligentes: Integrando Personas Sintéticas e Inteligência Artificial para Serviços Personalizados. | Smart Libraries: Integrating Synthetic Personas and Artificial Intelligence for Personalized Services

  • Autor
  • Bárbara Cristina Araújo Uehara
  • Resumo
  • This study proposes the use of synthetic personas as a methodological strategy for the personalization and innovation of library services through the integration of Artificial Intelligence and Data Science techniques. Service personalization is an increasing demand in contemporary libraries, and the proposed method can transform librarianship practices by providing more relevant and customized experiences for users. Based on the analysis of historical data and the application of algorithms for generating synthetic profiles, a framework is developed to continuously test and improve engagement, curation, and information access strategies.

    The first stage consists of diagnosis and data collection, involving the gathering and analysis of information about the community’s profile, such as age, education level, usage frequency, types of borrowed materials, and participation in cultural events. These data support the modeling of synthetic personas, created through statistical clustering and generative AI tools, resulting in representative profiles that simulate the behaviors, interests, and specific needs of different user segments. Subsequently, synthetic personas are used in simulations of interactions with library services, such as book borrowing, participation in cultural activities, and use of library spaces.

     

    These simulations allow for the testing of strategies, such as new communication campaigns or adjustments to operating hours, before their actual implementation. Based on the insights obtained, personalized actions are developed, including the creation of thematic collections, adjustment of event calendars to match identified profiles, and the offering of new services such as workshops and reading clubs, promoting greater alignment with community demands. The adoption of this approach contributes to strengthening the library as a smart, inclusive, and innovative environment, fostering an organizational culture oriented towards continuous improvement and data-driven experimentation.

  • Palavras-chave
  • Artificial Intelligence, Synthetic Personas, Library, Personalization.
  • Área Temática
  • Ciência de Dados e Inteligência Artificial
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ISSN: 2965-4130

  • Humanidades Digitais e Cultura Computacional
  • Transformação Digital e Sociedade
  • Inclusão digital, acessibilidade e cidadania
  • Impactos sociais, culturais e econômicos da digitalização
  • Ciência de Dados e Inteligência Artificial
  • Governança de TI e Segurança da Informação
  • Gestão de Projetos em Ambientes Digitais
  • Ética da Informação e Responsabilidade Algorítmica
  • Curadoria Digital, Arquivística e Preservação Digital
  • Internet das Coisas (IoT), Cidades Inteligentes e Sustentáveis
  • Agenda 2030 (ODS) TI e IoT
  • Web Semântica, Linked Data e Recuperação da Informação
  • Gestão do Conhecimento e Inteligência Competitiva
  • Organização e Representação da Informação e do Conhecimento
  • Recursos Computacionais em Unidades de Informação
  • Formação e Atuação Profissional na Era Digital

Comissão Organizadora

Victor Barros
Francisco Carlos Paletta

Comissão Científica

Armando Malheiro da Silva, Faculdade de Letras da Universidade do Porto

Audilio Gonzales Aguilar, Université Paul-Valéry Montpellier III

Francisco Carlos Paletta, Universidade de São Paulo

José Antonio Moreiro, Universidade Carlos III de Madrid

Victor Barros, Universidade do Minho