Monstrous images of the past: photorealism and non-photorealism in archaeological information work

Tuesday, December 11, 2018 - 08:15 to Wednesday, December 12, 2018 - 17:45

Presentation at the panel Monstrous Materialities at IFIP WG 8.2. Working Conference in San Francisco, CA.


We argue that archaeological visualisations of the past form together with their makers and spectators a cyborg. The aim of this article is to show how these cyborgs reside in a human-technology continuum and how the nexus of agency is shifting and can be (attempted to be) shifted from humans to technologies and back by appropriating technologies in specific ways in a social context. The findings show that a life-like photorealistic visualisation, as an example of an information technology, can be seen as monstrous if it is considered as imposed difficult to control technology that expropriates agency of human actors. In contrast, a non-photorealistic, less life- like visualisations can be seen as less monstrous because of their reminiscence of traditional illustrations and lower level of detail. Implications of the monstrosity of technologies for information work in archaeology, and for other social and technical information technologies including information systems, information services and information literacy are discussed.

Archaeology and Archaeological Information in the Digital Society shows how the digitization of archaeological information, tools and workflows, and their interplay with both old and new non-digital practices throughout the archaeological information process, affect the outcomes of archaeological work, and in the end, our general understanding of the human past.

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Taking Health Information Behaviour into Account: implications of a neglected element for success- ful implementation of consumer health technologies on older adults (HIBA) is an Academy of Finland funded research project at Åbo Akademi University.

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CApturing Paradata for documenTing data creation and Use for the REsearch of the future (CAPTURE) investigates what information about the creation and use of research data that is paradata) is needed and how to capture enough of that information to make the data reusable in the future. 

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