Abstract
This paper presents an interactive system for experimental ancient document analysis applied to the specific use case of the computational analysis of magical signs, called Brillenbuchstaben or charaktêres, in digitized Jewish manuscripts. It draws upon known theories as well as methods from open source toolboxes and embeds them into a visual programming-based user interface. Its general design is particularly aimed at the needs of Humanities scholars and thus enables them to computationally analyze these signs without requiring any prior programming experience. In the light of this, the web-based system has been designed to be e.g. interoperable, modular, flexible, transparent and readily accessible by tech-unsavvy users regardless of their background. The paper further discusses a paradigmatic user study conducted with domain experts to evaluate this system and presents first results from those evaluations.
Parts of the research for this paper were undertaken at SFB 950 ‘Manuscript Cultures in Asia, Africa and Europe’, funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) and within the scope of the Centre for the Study of Manuscript Cultures (CSMC), Universität Hamburg. We are also indebted to Christopher Hahn for his pioneering work as referenced and Dieter Jessen for his support in setting up the iXMan_Lab hardware.
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http://www.github.com/virtualvinodh/AMAP; under GPLv3 License.
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References
Barfod, G.H., Larsen, J.M., Lichtenberger, A., Raja, R.: Revealing text in a complexly rolled silver scroll from jerash with computed tomography and advanced imaging software. Sci. Rep. 5, 17765 (2015)
Bohak, G.: The charaktêres in ancient and medieval Jewish magic. Acta Classica Univ. Sci. Debreceniensis 47, 25–44 (2011)
Brooke, J., et al.: SUS - a quick and dirty usability scale. Usabil. Eval. Ind. 189(194), 4–7 (1996)
Burdick, A., Drucker, J., Lunenfeld, P., Presner, T., Schnapp, J.: Digital\(\_\)Humanities. The MIT Press, Cambridge (2012)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 15, 319–340 (1989)
Gordon, R.: ‘Signa nova et inaudita’: the theory and practice of invented signs (charaktêres) in Graeco-Egyptian magical texts. MHNH: Rev. Int. Invest. sobre Magia Astrol. Antiguas (11), 15–44 (2011)
Gordon, R.: Charaktêres between antiquity and renaissance: transmission and re-invention. In: Dasen, V., Spieser, J.M. (eds.) Les savoirs magiques et leur transmission de l’Antiquité à la Renaissance, pp. 253–300 (2014)
Hahn, T.C.: Computational analysis of Charaktêres in digitized manuscripts: a proof of concept. Master’s thesis, University of Hamburg (2019, unpublished)
Likert, R.: A technique for the measurement of attitudes. Arch. Psychol. (1932)
Rajan, V., Stiehl, H.S.: AMAP: a visual programming language based system to support document image analysis. In: Proceedings of Mensch und Computer 2019, pp. 881–884 (2019)
Repenning, A.: Moving beyond syntax: lessons from 20 years of blocks programing in AgentSheets. J. Vis. Lang. Sentient Syst. 3(1), 68–89 (2017)
Stratton, K.B.: Naming the Witch: Magic, Ideology, and Stereotype in the Ancient World. Columbia University Press, New York (2007)
Szajna, B.: Empirical evaluation of the revised technology acceptance model. Manage. Sci. 42(1), 85–92 (1996)
Winkler, H.A.: Siegel und Charaktere in der muhammedanischen Zauberei. de Gruyter, Berlin (2015). [1930]
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Pandey, P.S., Rajan, V., Stiehl, H.S., Kohs, M. (2021). Visual Programming-Based Interactive Analysis of Ancient Documents: The Case of Magical Signs in Jewish Manuscripts. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12667. Springer, Cham. https://doi.org/10.1007/978-3-030-68787-8_11
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