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In traditional production plants, current technologies do not providesufficient context to support information integration and interpretation.Digital transformation technologies have the potential to supportcontextualization, but it is unclear how this can be achieved. The presentarticle reviews psychological literature in four areas relevant tocontextualization: information sampling, integration, categorization, andcausal reasoning. Characteristic biases and limitations of human informationprocessing are discussed. Based on this literature, we derive functionalrequirements for digital transformation technologies, focusing on the cognitiveactivities they should support. We then present a selection of technologiesthat have the potential to foster contextualization. These technologies enablethe modelling of system relations, the integration of data from differentsources, and the connection of the present situation with historical data. Weillustrate how these technologies can support contextual reasoning andhighlight challenges that should be addressed when designing human-technologycooperation in cyber-physical production systems.

Data in context: How digital transformation can support human reasoning in cyber-physical production systems