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advantages of exploring museum collections in online environments that allow for greater
concentration and reflective engagement.
From a learning perspective, technologies such as AI, VR, and AR can contribute to
optimizing the knowledge acquisition process of Generation Z, particularly when
considering the assimilating learning style characteristic of this generation. These
technologies enable the integration of visual observation with the formation of abstract
concepts, thereby creating learning environments that align with the ways young
audiences process information (Vikmane et al., 2025). Experiments conducted in virtual
reality environments indicate that the cognitive load experienced in VR spaces can be
comparable to real-world experiences, while also increasing visitor dwell time and
improving the retention of historical and cultural knowledge (Lei, 2025). However, the
application of digital technologies also entails certain risks. In some cases, the sensory
stimulation provided by technological features—such as visual effects or interactive
screens—may cause users to focus on technological manipulation rather than on the
cultural content itself. As a result, visitors may engage only superficially with digital
devices without fully participating in deeper cognitive engagement with the exhibition
content (Lukes et al., 2025).
In physical cultural spaces such as museums, this phenomenon may lead
Generation Z to have lower expectations for direct interaction with strangers and to
become more cautious in social engagement. Researchers also argue that if museums rely
solely on digital technologies without incorporating human-centered experience design, it
may be difficult to foster deeper social values such as empathy, community awareness, or
civic responsibility. Another issue related to the application of AI in museums is the
potential emergence of “information cocoons.” AI systems often rely on visitors’
behavioral data to personalize displayed content or recommend visitor pathways based
on individual preferences (Derda & Predescu, 2025). Although such mechanisms can
enhance individual satisfaction, they may also lead users to encounter only familiar or
preference-based content. This situation may limit opportunities for exploring new topics
or engaging with diverse cultural perspectives (Lei, 2025). Therefore, many studies
emphasize that the implementation of AI in museums should maintain a balance between
personalized experiences and human curatorial vision, ensuring the diversity and
intellectual depth of museum collections (Derda & Predescu, 2025).
Overall, existing research indicates that Generation Z perceives digital technologies
and AI as important supporting tools in the process of cultural exploration and learning.
These technologies can improve access to information, create immersive experiences,
and support both pre-visit preparation and post-visit knowledge reinforcement. However,
they cannot fully replace the direct museum experience, where emotional engagement,
the physical presence of artifacts, and social interaction continue to play essential roles in
shaping visitors’ perceptions and fostering empathy toward cultural heritage.
5. Discussion
The findings of this study reveal a clear relationship between digital technologies,
their impacts on museum experiences, and the cognitive and behavioral characteristics of
Generation Z. Rather than functioning as isolated tools, digital technologies reshape how
museums communicate knowledge, design visitor experiences, and facilitate engagement.
First, various digital technologies—such as virtual reality (VR), augmented reality
(AR), and artificial intelligence (AI)—enable new forms of immersive and interactive
experiences. These technologies allow museums to present cultural heritage through
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