
This dataset includes responses collected through a questionnaire survey conducted at the Archaeological Site of Ancient Dodona (Greece). The aim of the questionnaire was to collect data on visitors’ perceptions and understanding of the archaeological site, as well as their expectations and requirements regarding the use of digital technologies for interpretation and visitor engagement. The survey focused on aspects of visitor experience, interpretive material, spatial behavior within the site, and attitudes toward digital applications such as augmented reality, digital storytelling, and interactive tools. A total of 99 questionnaires were completed by adult visitors of the archaeological site. The questionnaire was distributed in printed form at the entrance and exit of the site, allowing visitors to provide feedback on their on-site experience and to express their views on potential digital enhancements of the visit. The dataset consists of anonymized responses and does not contain any personally identifiable or sensitive data. Participation was voluntary, and all data were collected in accordance with principles of research ethics and data protection.
digital technologies, virtual and augmented reality, visitor experience
digital technologies, virtual and augmented reality, visitor experience
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
