Personalising Explainable Recommendations: Literature and Conceptualisation
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Explanation should be adapted to users' level of knowledge and expertise in a given Human-AI collaborative decision-making task.
“Also, our previous literature review revealed that explanation shall be adapted to users’ level of knowledge and expertise in a given Human-AI collaborative decision-making task [56].”
From Explainable recommendation: when design meets trust calibration (2021) · cites this paper as [56]
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Cites
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Cited by
Sorted by citations
Naiseh, M., Al-Thani, D., Jiang, N., & Ali, R. (2023) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102941 · Cited by 170 · see citing works
Self-citationExplainable recommendation: when design meets trust calibration
Naiseh, M., Al-Thani, D., Jiang, N., & Ali, R. (2021) · World Wide Web · doi:10.1007/s11280-021-00916-0 · Cited by 68 · see citing works
“Also, our previous literature review revealed that explanation shall be adapted to users’ level of knowledge and expertise in a given Human-AI collaborative decision-making task [56].”
BackgroundSelf-citationExplainable Recommendations and Calibrated Trust: Two Systematic User Errors
Naiseh, M., Cemiloglu, D., Al Thani, D., Jiang, N., & Ali, R. (2021) · Computer · doi:10.1109/mc.2021.3076131 · Cited by 30 · see citing works
Self-citationExplainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks
Naiseh, M., Jiang, N., Ma, J., & Ali, R. (2020) · Lecture Notes in Business Information Processing · doi:10.1007/978-3-030-50316-1_13 · Cited by 27 · see citing works
Self-citation
- Authors
- Naiseh, M., Jiang, N., Ma, J., & Ali, R.
- Affiliations
- Bournemouth University (GB)
- Chengdu University of Information Technology (CN)
- Hamad bin Khalifa University (QA)
- Corresponding author
- Naiseh, Mohammad
- Venue
- Advances in Intelligent Systems and Computing
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 518-533
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W3033496024
- Cited by
- 42
- References
- 50
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 9 · 2023: 4 · 2022: 9 · 2021: 10 · 2020: 3
- FWCI
- 2.48
- Type
- conference paper
- Language
- en
- Open access
- Locations
- Advances in intelligent systems and computing (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Bournemouth University Research Online (Bournemouth University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- explainable recommendation, personalization, trust in AI, information overload, user experience
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