Explainable Search: An Exploratory Study in SameGame Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/cog57401.2023.10333232
The field of Explainable Artificial Intelligence has gained popularity in recent years, due to the need for users to understand AI-made decisions, in order to increase their trust in the AI system. However, not much work has been performed on explaining recommendations made by search algorithms, which do not focus on single decisions, but on complex plans of action. This paper investigates promising directions for research in Explainable Search (XS), by evaluating with a user study different types of explanations for a search-based algorithm. Preliminary results suggest that users prefer explanations generated using context-based features, which are not only based on the current state of the problem, but are extracted from different parts of the tree generated by the search algorithm.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/cog57401.2023.10333232
- OA Status
- green
- Cited By
- 1
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389315246
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389315246Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/cog57401.2023.10333232Digital Object Identifier
- Title
-
Explainable Search: An Exploratory Study in SameGameWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-21Full publication date if available
- Authors
-
Chiara F. Sironi, Anna Wilbik, Mark H. M. WinandsList of authors in order
- Landing page
-
https://doi.org/10.1109/cog57401.2023.10333232Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://cris.maastrichtuniversity.nl/en/publications/8740f5db-3e79-4899-af5a-f50eeca87dbdDirect OA link when available
- Concepts
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Computer science, Popularity, Exploratory search, Context (archaeology), Focus (optics), Field (mathematics), Artificial intelligence, Exploratory research, Action (physics), Machine learning, Search algorithm, Order (exchange), State (computer science), Algorithm, Psychology, Mathematics, Sociology, Pure mathematics, Biology, Physics, Optics, Paleontology, Quantum mechanics, Social psychology, Finance, Anthropology, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1Per-year citation counts (last 5 years)
- References (count)
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12Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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