Computer graphics and cultural heritage, part 2: continuing inspiration for future tools

Area of Science:

• Digital Humanities
• Cultural Heritage Informatics
• Computational Social Science

Background:

• Increasing availability of large-scale cultural heritage data.
• Emergence of novel computational analysis methods.
• Current methods are primarily experimental research.

Purpose of the Study:

• To explore the potential of large cultural heritage datasets.
• To assess the readiness of emerging analysis methods for professional use.
• To anticipate future technological advancements and their impact.

Main Methods:

• Review of experimental research in cultural heritage data analysis.
• Projection of technology maturation timelines.
• Anticipation of disruptive technologies.

Main Results:

• New types of analysis and applications are enabled by data growth.
• Significant time is needed for research to mature into routine professional tools.
• Continuous rapid change and disruptive technologies are expected.

Conclusions:

• Cultural heritage professionals will experience a prolonged period of technological evolution.
• Adoption of advanced analytical methods will be gradual.
• Strategic planning is necessary to navigate future changes in the field.