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Analysis Using Linkograph to Identify Product Features for Innovation: A Human Centered Usability Engineering Approach

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Advances in Ergonomics in Design (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 777))

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Abstract

Micro Small and Medium Enterprises (MSMEs) have limited resources to initiate continuous innovations in the products manufactured by them. This paper presents a novel analysis method using linkogrpahs to identify the product features that have potential for innovation. While innovation can happen in materials, processes, a novel approach that of usability and utility has been adopted in this paper. Human factors behind usability that could enhance utility and identified as gaps using ‘linkogrpahs’. Linkogrpahs for these house old products have been drawn after disassembly. This human centered innovation method has potential to be and by MSMEs not only for improving design but also become a comparative measure of added value. Link index has potential to be used as an innovation metrics. This paper describes the analysis of these products using linkographs to identify the features for innovation.

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Author information

Authors and Affiliations

  1. UE-HCI Lab, Department of Design, Indian Institute of Technology Guwahati, Guwahati, 781039, India

    Pradeep Yammiyavar & Ravi Lingannavar

Authors
  1. Pradeep Yammiyavar
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  2. Ravi Lingannavar
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Corresponding author

Correspondence to Pradeep Yammiyavar .

Editor information

Editors and Affiliations

  1. Urban Planning and Design and Ergonomics Laboratory, Faculdade de Motricidade Humana, Universidade de Lisboa, Research Centre in Architecture, Lisbon, Portugal

    Francisco Rebelo

  2. School of Design, Hunan University, Changsha, China

    Marcelo M. Soares

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Yammiyavar, P., Lingannavar, R. (2019). Analysis Using Linkograph to Identify Product Features for Innovation: A Human Centered Usability Engineering Approach. In: Rebelo, F., Soares, M. (eds) Advances in Ergonomics in Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 777. Springer, Cham. https://doi.org/10.1007/978-3-319-94706-8_40

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  • DOI: https://doi.org/10.1007/978-3-319-94706-8_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94705-1

  • Online ISBN: 978-3-319-94706-8

  • eBook Packages: EngineeringEngineering (R0)

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