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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorChota, Samson
dc.contributor.authorPerić, Novela
dc.date.accessioned2025-08-22T00:02:11Z
dc.date.available2025-08-22T00:02:11Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/49981
dc.description.abstractRecent developments across various technological domains have brought cyber-physical systems, once confined to science fiction, closer to everyday reality. One striking example are virtual humans (VHs): lifelike digital entities designed to replicate human appearance and behaviour (Burden & Savin-Baden, 2019). VHs offer a wide range of possible applications, from virtual idols and assistants to companions, partners, and even forms of digital immortality. As their use becomes more widespread, it is essential to ensure they are developed with the aim of complementing and supporting human life, rather than replacing or undermining it. To explore this, the present study employed the Delphi method to gather insights from experts on the technological evolution of VHs, their potential societal roles, and the governance challenges they may pose. The findings offer practical guidance for stakeholders involved in the development, design, and regulation of virtual humans, contributing to a more thoughtful and sustainable integration of this emerging technology.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectSurveyed experts in the field of virtual humans about the future of this technology. Assessed on three levels: technological forecasting (what technical possibilities arise in the future), societal impact (how will these advancements influence humans) and governance (policy-oriented measures we can take now).
dc.titleThe Future of Virtual Humans: A Delphi Study on The Emerging Trends and Implications of Human - Virtual Human Interactions
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsvirtual humans, Delphi study, forecasting, governance, technology, society
dc.subject.courseuuApplied Cognitive Psychology
dc.thesis.id52371


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