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Enhanced data narratives

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  • Judd D. Bradbury
  • Rosanna E. Guadagno

Abstract

Data narratives are an emerging form of communication that employs enhanced media for effective knowledge transfer of complex information. Researchers in the fields of data visualization and artificial intelligence have begun to pioneer new structures of communication to improve the efficiency of construction and the retention of information provided by the knowledge transfer experience. In this paper, we report the results of an empirical study conducted to compare the performance of various narrative communication techniques including frame based narrative visualization, documentary narrative visualization, computer generated text narratives and human generated text narratives. We assess the knowledge transfer performance for each of these data driven narrative structures. Across all conditions, an identical set of knowledge retention questions assessed participants’ recall of details from their assigned narrative communication. Statistical analysis on group performance answering the knowledge retention questions revealed that some narrative communication techniques perform better with general audiences.

Suggested Citation

  • Judd D. Bradbury & Rosanna E. Guadagno, 2021. "Enhanced data narratives," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(2), pages 171-194, April.
    • Handle: RePEc:taf:tjmaxx:v:8:y:2021:i:2:p:171-194
    DOI: 10.1080/23270012.2021.1886883
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    Cited by:

    1. Shuo Tian & Hangeng Zhao & Xiaobo Xu & Rongchao Mu & Qiang Ma, 2022. "Knowledge chain integration of design structure matrix‐based project team: An integration model," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 462-473, May.

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