Dinamika dan arah riset avatar digital berbasis kecerdasan buatan tahun 2021–2025

  • Wiki Lofandri 
    Universitas Negeri Padang
    Indonesia
  • Bayu Ramadhan Fajri
    Universitas Negeri Padang
    Indonesia
  • Mutia Ramdhatul Jannah
    Universitas Negeri Padang
    Indonesia

Abstract

Avatar digital berbasis kecerdasan buatan berkembang pesat sejak peluncuran model bahasa besar generatif akhir 2022, namun peta menyeluruh struktur keilmuannya belum banyak dipetakan. Penelitian ini menganalisis 884 artikel jurnal terindeks Scopus periode 2021-2025 tentang avatar digital, agen virtual, atau karakter berbasis kecerdasan buatan, menggunakan pendekatan bibliometrik dengan Biblioshiny/Bibliometrix dan VOSviewer. Data disaring melalui empat tahap seleksi mengikuti kerangka PRISMA hingga tersisa 884 dokumen final dari 5.391 dokumen awal. Hasil menunjukkan pertumbuhan publikasi hampir eksponensial, dari 77 artikel pada 2021 menjadi 327 artikel pada 2025, dengan Amerika Serikat (194 dokumen) dan Tiongkok (177 dokumen) sebagai dua negara paling produktif dan paling banyak berkolaborasi. Artikel Park dan Kim (2022) tentang taksonomi metaverse tercatat sebagai dokumen paling banyak disitasi (1.598 sitasi). Analisis kata kunci menunjukkan tiga klaster tematik: teknologi imersif, kecerdasan buatan generatif, dan subjek penelitian klinis-perilaku manusia. Analisis Bradford dan Lotka mengonfirmasi konsentrasi publikasi pada segelintir jurnal inti dan produktivitas penulis yang sangat terfragmentasi. Model siklus hidup topik memproyeksikan puncak produksi sekitar 2027, meski proyeksi ini perlu dibaca hati-hati karena hanya bersandar pada lima titik data aktual. Penelitian ini menawarkan peta jalan tematik bagi peneliti yang memasuki bidang ini, sekaligus mengidentifikasi celah riset pada integrasi agen percakapan berbasis LLM dengan representasi visual avatar.

Keywords
  • Avatar digital, Kecerdasan buatan, Agen virtual, Bibliometrik, Large language model, Metaverse
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