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<sup>KaraokAI: Exploring the Potential of AI-Generated Karaoke for Academic Conferences and Research Experienc</sup><sup>es</sup><sup> Poster</sup>

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posted on 2025-12-12, 16:36 authored by Anna CarterAnna Carter, Dalya Al-Shahrabi, William Imoukhuede, Lauren ScottLauren Scott, Dan JacksonDan Jackson, Reem TalhoukReem Talhouk, Patrícia Piedade, Kyle MontagueKyle Montague
<p dir="ltr">This is a poster created to accompany the KaraokAI demonstration.</p><p dir="ltr">Academic conferences face increasing challenges as Generative AI accelerates academic writing, dramatically increasing submission volumes and straining reviewer capacity. Simultaneously, shifts in knowledge consumption, driven by AI tools and multimedia platforms, highlight the need for more engaging dissemination formats. Our interactive demonstration, KaraokAI, is a karaoke-based presentation platform which transforms academic papers into lyrics performed alongside popular songs. Drawing on the participatory nature of karaoke, this approach enhances engagement, recall, and emotional connection, making research dissemination more accessible and memorable. With CHI 2025 being held in Japan, the birthplace of karaoke, this demonstration explores how cultural and playful methods can reimagine academic presentations, inviting collaborative and inclusive participation. By blending scholarship with entertainment, KaraokAI aims to challenge traditional dissemination norms and inspire innovative, audience-centred approaches to sharing research across diverse contexts. So, grab the mic, hit the stage and let your research take the spotlight.</p>

Funding

DCitizens: Fostering Digital Civics Research and Innovation in Lisbon

UK Research and Innovation

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Centre for Digital Citizens - Next Stage Digital Economy Centre

Engineering and Physical Sciences Research Council

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AI UK: Creating an International Ecosystem for Responsible AI Research and Innovation

Engineering and Physical Sciences Research Council

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Responsible AI UK (RAI-SK-BID-00055)

UKRI (EP/Y030729/1) AI Centre for Doctoral Training in Citizen- Centred Artificial Intelligence (CCAI)

Foundation for Science and Technology (UIDB/50009/2020 & LA/P/0083/2020 & UIDB/50021/2020 INESC-ID) ITI/LARSyS; and Foundation for Science and Technology (FCT) (2024.00620.BD) Phd scholarship.

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