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Data Visualizations for Interdisciplinary Communication in HFE

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Advances in Industrial Design (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 260))

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Abstract

Human Factors and Ergonomics (HFE) academic and professional communities emphasize an interdisciplinary approach to help solve complex problems, particularly for New Product Development (NPD). Data visualization is an effective way of understanding complex data and information. The HFE research community has traditionally used static explanatory graphics to communicate with other disciplines and to support publications and conference presentations. These graphics are typically designed for collaborators and audiences that are familiar with the underlying data or graphical form. While there have been multiple attempts at visually communicating HFE concepts and data to other disciplines, not many attempts have been made to utilize spatio-temporal visualizations to understand the dynamic HFE data. The utilization of the visualized HFE data that are easily consumable in an interdisciplinary team will stimulate the effective application of HFE in NPD. This can also help interdisciplinary teams as well as university students studying tangential subjects like Industrial Design understand this data in order to facilitate NPD. The purpose of this study is to explore data visualization approaches that will help HFE professionals to effectively communicate HFE data to collaborators outside their disciplinary expertise. We conducted a literature review of existing static and dynamic anthropometric data visualizations that have been used by HFE professionals to communicate the results of ergonomic studies. Additionally, we used datasets from a previous intervention design study to develop spatio-temporal visualization examples. Our examples use three-dimensional space as well as the temporal nature of the digital medium in order to communicate a complete picture of the data in a cohesive manner. We developed these examples using the Processing programming language. The developed examples will be utilized to examine the effectiveness of data consumption from non HFE professionals, such as industrial designers, in future studies.

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Authors and Affiliations

  1. The College of Architecture, Planning and Design, Kansas State University, 920 N 17th Street, 2098 Seaton Hall, Manhattan, KS, 66506, USA

    Byungsoo Kim

  2. College of Design, North Carolina State University, Campus Box #7701, Raleigh, NC, 27695, USA

    Payod Panda

Authors
  1. Byungsoo Kim
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  2. Payod Panda
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Correspondence to Byungsoo Kim .

Editor information

Editors and Affiliations

  1. Department of Industrial Design, University of Illinois at Urbana-Champaign, Champaign, IL, USA

    Cliff Sungsoo Shin

  2. Dipartimento di Architettura, Università degli Studi G. d’Annunzio, Pescara, Italy

    Giuseppe Di Bucchianico

  3. System Design and Management, Keio University, Musashino, Japan

    Shuichi Fukuda

  4. DAAP School of Design, University of Cincinnati, Cincinnati, OH, USA

    Yong-Gyun Ghim

  5. Faculty of Architecture, University of Lisbon, Lisbon, Portugal

    Gianni Montagna

  6. Faculty of Architecture, University of Lisbon, Lisbon, Portugal

    Cristina Carvalho

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Kim, B., Panda, P. (2021). Data Visualizations for Interdisciplinary Communication in HFE. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-80829-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80828-0

  • Online ISBN: 978-3-030-80829-7

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