Interacting with Heritage: On the Use and Potential of IoT Within the Cultural Heritage Sector

Marshall, Mark T.

doi:10.1109/iotsms.2018.8554899

Cited by 18 publications

(4 citation statements)

References 53 publications

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“…Could the physical, site-specific installation be complimented with a book that also has the AR experience connected to the images? Could the book serve to contextualise the project and incentivise people to visit and engage with the actual sites [25]? The third workshop looked specifically at developing illustrations and AR augmentations for use in a public space.…”

Section: Workhopsmentioning

confidence: 99%

An Investigation of the Use of Augmented Reality in Public Art

Young,

Marshall

2023

MTI

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Augmented reality offers many artistic possibilities when it comes to the creation of place-based public artworks. In this paper, we present a series of works around the topic of augmented reality (AR) art and place-based storytelling, including the use of walking as a creative method, a series of workshops with emerging artists, public AR art collaborations and a study to examine user experience when interacting with such artworks. Our findings from these works show the potential of integrating augmented reality with public physical artworks and offer guidance to artists and AR developers on how to expand this potential. For artists, we show the importance of the space in which the artwork will be placed and provide guidance on how to work with the space. For developers, we find that there is a need to create tools that work with artists’ existing practices and to investigate how to expand augmented reality past the limitations of site- or piece-specific apps.

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Section: Workhopsmentioning

confidence: 99%

An Investigation of the Use of Augmented Reality in Public Art

Young,

Marshall

2023

MTI

Self Cite

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“…Some of the major concerns for the setup of IoT systems at a heritage site arise from the fact that such places might be remotely located and mostly not connected with high-speed internet [ 8 ]. A museum might invest in a good internet connection and build a private network to connect the devices in the premises.…”

Section: Related Workmentioning

confidence: 99%

“…Apart from monitoring and control of ambience factors, internet of things (IoT) technology has been utilized along with social networking and artificial intelligence to personalize a visit experience. A noteworthy example is Museon in Den Haag, the Netherlands [ 8 ]. This museum had utilized a Raspberry Pi-based interaction and logging system to provide visitors with an avenue to share their post-visit experience.…”

Section: Introductionmentioning

confidence: 99%

ARTYCUL: A Privacy-Preserving ML-Driven Framework to Determine the Popularity of a Cultural Exhibit on Display

Tanwar

Chauhan

Yafi

2021

Sensors

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We present ARTYCUL (ARTifact popularitY for CULtural heritage), a machine learning(ML)-based framework that graphically represents the footfall around an artifact on display at a museum or a heritage site. The driving factor of this framework was the fact that the presence of security cameras has become universal, including at sites of cultural heritage. ARTYCUL used the video streams of closed-circuit televisions (CCTV) cameras installed in such premises to detect human figures, and their coordinates with respect to the camera frames were used to visualize the density of visitors around the specific display items. Such a framework that can display the popularity of artifacts would aid the curators towards a more optimal organization. Moreover, it could also help to gauge if a certain display item were neglected due to incorrect placement. While items of similar interest can be placed in vicinity of each other, an online recommendation system may also use the reputation of an artifact to catch the eye of the visitors. Artificial intelligence-based solutions are well suited for analysis of internet of things (IoT) traffic due to the inherent veracity and volatile nature of the transmissions. The work done for the development of ARTYCUL provided a deeper insight into the avenues for applications of IoT technology to the cultural heritage domain, and suitability of ML to process real-time data at a fast pace. While we also observed common issues that hinder the utilization of IoT in the cultural domain, the proposed framework was designed keeping in mind the same obstacles and a preference for backward compatibility.

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“…These technologies have varied non-invasive applications for heritage sites, as the following examples demonstrate. IoT has enabled the conservation of cultural heritage by managing data collected by sensors and by enhancing the interaction and experience of visitors with cultural objects as much as by preserving the related records [1][2][3]. Additionally, three-dimensional documentation of cultural heritage has been used to fully visualize tall and heavy sculptures through aerial laser scanners and photographs, without which it would not have been possible to be observed [4].…”

Section: Introductionmentioning

confidence: 99%

Bibliometric analysis of fourth industrial revolution applied to heritage studies based on web of science and scopus databases from 2016 to 2021

et al. 2022

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Using past material and spiritual remains, cultural heritage examines communities’ identity formation across time. Cultural heritage requires public and private institutions to care about its restoration, maintenance, conservation, and promotion. Through a bibliometric perspective, this study has analyzed, quantified, and mapped the scientific production of the fourth industrial revolution applied to heritage studies from 2016 to 2021 in the Scopus and Web of Science databases. Biblioshiny software from RStudio was employed to categorize and evaluate the contribution of authors, countries, institutions, and journals. In addition, VOSviewer was used to visualize their collaboration networks. As a main result, we found that augmented reality and remote sensing represent the research hotspot concerning heritage studies. Those techniques have become common in archaeology, as well as museums, leading to an increase in their activity. Perhaps, more recent tools, such as machine learning and deep learning, will provide future pathways in cultural heritage from data collected in social networks. This bibliometric analysis, therefore, provides an updated perspective of the implementations of technologies from industry 4.0 in heritage science as a possible guideline for future worldwide research.

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Interacting with Heritage: On the Use and Potential of IoT Within the Cultural Heritage Sector

Cited by 18 publications

References 53 publications

An Investigation of the Use of Augmented Reality in Public Art

An Investigation of the Use of Augmented Reality in Public Art

ARTYCUL: A Privacy-Preserving ML-Driven Framework to Determine the Popularity of a Cultural Exhibit on Display

Bibliometric analysis of fourth industrial revolution applied to heritage studies based on web of science and scopus databases from 2016 to 2021

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