Although abundant research work has been published in the area of path recommendation and its applications on travel and routing topics, scarce work has been reported on context-aware route recommendation systems aimed to stimulate optimal cultural heritage experiences. This paper tries to address this issue, by proposing a personalized and content adaptive cultural heritage path recommendation system, where location is modeled using mean-shift clustering trained with actual user movement patters. Additionally, topic modeling is incorporated to formalize the implicit cultural heritage content, while first order Markov models address the movement as a temporal transition aspect of the problem. The overall architecture is applied on data collected from actual visits to the archaeological sites of Gournia and Çatalhöyük and extensive analysis on visitor movement patterns follows, especially in comparison to the curated paths in the aforementioned sites. Finally, the offline evaluation results of the proposed recommendation scheme are encouraging, validating its efficiency and setting a positive paradigm for cultural heritage route recommendations.
Video recording is increasingly becoming a favourable medium in archaeological research, particularly as an unconventional documentation tool that captures the elusive processes of on-going interpretation in an audiovisual format. Our research forms part of the Personal Architectonics Through INteraction with Artefacts (PATINA) project, a project that aims to revolutionise the design of technologies for supporting research, by emphasising the primacy of the research material. Archaeological fieldwork is one of the research environments being studied by the project, and one of our primary concerns was to observe and record current research practices in the wild, and to examine the influence of new technologies on those practices. This research brings together well established and advanced observation techniques used in social sciences and computing fields such as Human Computer Interaction with archaeological research and presents the deployment of an off-theshelf wearable camcorder as a recording interface in archaeological fieldwork. The paper discusses the user evaluation methodology and the results, while addressing long standing and timely theoretical discussions on the role of video recording in archaeological research.
Capturing data is a key part of archaeological practice, whether for preserving records or to aid interpretation. But the technologies used are complex and expensive, resulting in time-consuming processes associated with their use. These processes force a separation between ongoing interpretive work and capture. Through two field studies we elicit more detail as to what is important about this interpretive work and what might be gained through a closer integration of capture technology with these practices. Drawing on these insights, we go on to present a novel, portable, wireless 3D modeling system that emphasizes 'quick and dirty' capture. We discuss its design rational in relation to our field observations and evaluate this rationale further by giving the system to archaeological experts to explore in a variety of settings. While our device compromises on the resolution of traditional 3D scanners, its support of interpretation through emphasis on real-time capture, review and manipulability suggests it could be a valuable tool for the future of archaeology.
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