Capturing the Complexity of Communication with Transinformation Analysis

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dc.contributor.authorHovious, Amanda
dc.date.accessioned2023-03-17T22:48:54Z
dc.date.available2023-03-17T22:48:54Z
dc.date.issued2023
dc.description.abstractThis 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.en
dc.identifier.doi10.1145/3565967.3570980
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4573
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work
dc.subjectTransinformation analysis
dc.subjectCybernetics
dc.subjectMultimodality
dc.subjectSemantic problem
dc.titleCapturing the Complexity of Communication with Transinformation Analysisen
dc.typeText/Conference Paper
gi.citation.startPage27–29
gi.conference.locationHilton Head, SC, USA

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