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Capturing the Complexity of Communication with Transinformation Analysis

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Association for Computing Machinery


This poster presentation describes an innovative application of an old methodology called transinformation analysis, recently rediscovered, that bridges the gap between information theory and cybernetics to measure the complexity of semantic information during communication. Once proposed as a method for measuring the reading and recall processes of learning, transinformation analysis was reinvented for the digital age to measure the complexity of cognitive processes during human computer interaction and improve understandings about the inter-relationship of semantic information and the technical message. Transinformation analysis has strong potential for disciplines that study communication complexity.


Hovious, Amanda (2023): Capturing the Complexity of Communication with Transinformation Analysis. Companion Proceedings of the 2023 ACM International Conference on Supporting Group Work. DOI: 10.1145/3565967.3570980. Association for Computing Machinery. pp. 27–29. Hilton Head, SC, USA