Discovering Leonardo with artificial intelligence and holograms: A user study

Caggianese, Giuseppe; Pietro, Giuseppe De; Esposito, Massimo; Gallo, Luigi; Minutolo, Aniello; Neroni, Pietro

doi:10.1016/j.patrec.2020.01.006

Cited by 20 publications

(6 citation statements)

References 13 publications

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“…Application 5: Leonardo da Vinci's Machines (Caggianese & De Pietro, 2020) Objective: This study focuses on modern visualization technologies and their application in museums.…”

Section: Resultsmentioning

confidence: 99%

Chatbots in Museums: Is Visitor Experience Measured?

Štekerová

2022

Czech Journal of Tourism

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Chatbots are rapidly growing application area of conversational artificial intelligence. The aim of the paper is to explore the evaluation of user experience with chatbot applications in museums and galleries. Introduction to principles of chatbots, their creation and testing is provided. Methods of user experience evaluation are explained and the indicators that can be used to assess user experience with chatbots are listed. History and classification of museum chatbots is briefly summarized. A systematic review according to the PRISMA methodology was conducted to map the latest trends in museum chatbots’ development and namely to answer two research questions: (1) What chatbots have been developed for the needs of museums and galleries? and (2) Was the visitor experience with these chatbots evaluated? The research gap in measuring visitor experience with chatbots was identified.

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“…Application 5: Leonardo da Vinci's Machines (Caggianese & De Pietro, 2020) Objective: This study focuses on modern visualization technologies and their application in museums.…”

Section: Resultsmentioning

confidence: 99%

Chatbots in Museums: Is Visitor Experience Measured?

Štekerová

2022

Czech Journal of Tourism

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“…• Chatbots and robots both to understand the questions asked by people and to elaborate adequate answers, and to move and elaborate paths in the museum [3][4][5]. • Support software for the design of exhibitions [6][7][8][9].…”

Section: Algorithms Of Artificial Intelligence In the Museum Areamentioning

confidence: 99%

“…This resulted in a total of 125 variants for each building, bringing the total set of samples to 10,500. 70% of the samples were used to train the TensorFlow-based deep learning software 9 and implemented in C++, for the test the remaining 30%. This technology offered an unprecedented, non-destructive means of identifying and provisionally characterizing unknown and undervalued peculiarities of the surrounding built landscape, pending subsequent checks.…”

Section: Identification Of Terrestrial Archeological Sitesmentioning

confidence: 99%

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The Computerization of Archaeology: Survey on Artificial Intelligence Techniques

Mantovan

Nanni

2020

SN COMPUT. SCI.

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This paper analyses the application of artificial intelligence techniques to various areas of archaeology and more specifically: (1) the use of software tools as a creative stimulus for the organization of exhibitions; the use of humanoid robots and holographic displays as guides that interact and involve museum visitors; (2) the analysis of methods for the classification of fragments found in archaeological excavations and for the reconstruction of ceramics, with the recomposition of the parts of text missing from historical documents and epigraphs; (3) the cataloging and study of human remains to understand the social and historical context of belonging with the demonstration of the effectiveness of the AI techniques used; (4) the detection of particularly difficult terrestrial archaeological sites with the analysis of the architectures of the Artificial Neural Networks most suitable for solving the problems presented by the site; the design of a study for the exploration of marine archaeological sites, located at depths that cannot be reached by man, through the construction of a freely explorable 3D version.

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“…Other studies have evaluated basic interactions with HoD using intangible inputs. For example, Caggianese et al [24] developed a system based on Leap Motion to allow users to select, rotate and zoom holograms of Leonardo's models. Yamada et al [25] allowed gestures such as swiping to rotate a hologram and pinching to zoom.…”

Section: Introductionmentioning

confidence: 99%

Towards Engaging Intangible Holographic Public Displays

Angeli

Frangoudes

Avraam

et al. 2022

2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET)

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Public displays are some of the most challenging interfaces to design because of two key characteristics. First, the experience should be engaging, to attract and maintain users' attention. Second, the interaction with the display should be natural, meaning that users should be able to receive the desired output with little or no training. Holographic displays are increasingly popular in public spaces such as museums and concert halls but there is little published research on users' experiences with such displays. Previous research has suggested both tangible and intangible inputs as engaging and natural options for holographic displays, but there is no conclusive evidence on their relative merits. Hence, we run a study to investigate the user experience with a holographic display comparing the level of engagement and feeling of natural experience in the interacting process. We used a mix of surveys, interviews, video recordings, and task-based metrics to measure users' performance on a specific task, the perceived usability, and levels of engagement and satisfaction. Our findings suggest that a tangible input was reported as more natural than the intangible one, however, both tangible and intangible inputs were found to be equally engaging. The latter findings contribute to the efforts of designing intangible public holographic displays and other interactive systems that take into consideration health safety issues, especially during the Covid-19 pandemic era in which contamination can be established with tangible and physical interaction between users and public displays, yet without affecting the level of engagement compared to the tangible experience.

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Discovering Leonardo with artificial intelligence and holograms: A user study

Cited by 20 publications

References 13 publications

Chatbots in Museums: Is Visitor Experience Measured?

Chatbots in Museums: Is Visitor Experience Measured?

The Computerization of Archaeology: Survey on Artificial Intelligence Techniques

Towards Engaging Intangible Holographic Public Displays

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