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Utilizing Crowdsourced Heuristic Evaluation in the Assessment of User Experience for Online Tools

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HCI International 2023 – Late Breaking Posters (HCII 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1957))

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Abstract

People have the power to participate in and contribute to online content not only by consuming it but through social network platforms. Crowdsourcing has huge benefits due to the increasing potential of connecting and engaging people through social network platforms. Crowdsourcing can be used with heuristic evaluation principles to appraise an online education platform by invoking people to participate in elucidating the success factors for education as well as collaborating on pertinent recommendations.

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Authors and Affiliations

  1. Computer Engineering Department, Kuwait University, Kuwait City, Kuwait

    Maha Faisal & Eng.Hadeel AlQouz

Authors
  1. Maha Faisal
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  2. Eng.Hadeel AlQouz
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Corresponding author

Correspondence to Maha Faisal .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

  4. University of Central Florida, Orlando, FL, USA

    Gavriel Salvendy

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Faisal, M., AlQouz, E. (2024). Utilizing Crowdsourced Heuristic Evaluation in the Assessment of User Experience for Online Tools. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 – Late Breaking Posters. HCII 2023. Communications in Computer and Information Science, vol 1957. Springer, Cham. https://doi.org/10.1007/978-3-031-49212-9_18

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  • DOI: https://doi.org/10.1007/978-3-031-49212-9_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49211-2

  • Online ISBN: 978-3-031-49212-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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