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Experience Over Explanation: Perceived Transparency in AI-Based Skin Cancer Detection

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  • Jaki, Paula
  • Knaus, Lukas
  • Benlian, Alexander

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Suggested Citation

  • Jaki, Paula & Knaus, Lukas & Benlian, Alexander, 2026. "Experience Over Explanation: Perceived Transparency in AI-Based Skin Cancer Detection," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 158970, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Handle: RePEc:dar:wpaper:158970
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/158970/
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    File URL: https://hdl.handle.net/10125/111569
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    References listed on IDEAS

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    1. Pinski, Marc & Benlian, Alexander, 2024. "AI literacy for users – A comprehensive review and future research directions of learning methods, components, and effects," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 143748, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Tirtha Chanda & Katja Hauser & Sarah Hobelsberger & Tabea-Clara Bucher & Carina Nogueira Garcia & Christoph Wies & Harald Kittler & Philipp Tschandl & Cristian Navarrete-Dechent & Sebastian Podlipnik , 2024. "Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    3. Pascal Hamm & Michael Klesel & Patricia Coberger & H. Felix Wittmann, 2023. "Explanation matters: An experimental study on explainable AI," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    4. Julia Brasse & Hanna Rebecca Broder & Maximilian Förster & Mathias Klier & Irina Sigler, 2023. "Explainable artificial intelligence in information systems: A review of the status quo and future research directions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-30, December.
    5. Jonas Wanner & Lukas-Valentin Herm & Kai Heinrich & Christian Janiesch, 2022. "The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2079-2102, December.
    6. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
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