The XAI-Seeking Principle: Structuring Explainability for LLM-Mediated Decision SupportWe investigate how LLM-mediated explanations can preserve evidence trails, support orientation, and reduce interpretation effort under cognitive and temporal constraints.
- doi
- 10.1145/3800935.3830869
- isbn
- 979-8-4007-2564-7
- name
- The XAI-Seeking Principle: Structuring Explainability for LLM-Mediated Decision Support
- source
- html
- acm_url
- https://dl.acm.org/doi/10.1145/3800935.3830869
- authors
- Valentin Grimm, Jessica Rubart, Eelco Herder, Carsten Röcker
- doi_url
- https://doi.org/10.1145/3800935.3830869
- license
- CC BY 4.0
- summary
- We investigate how LLM-mediated explanations can preserve evidence trails, support orientation, and reduce interpretation effort under cognitive and temporal constraints.
- keywords
- Large Language Model Mediation; Explainable AI; Decision Co-Pilot Systems; Misinformation Detection
- published
- 2026-09-14
- conference
- HT '26: 37th ACM Conference on Hypertext, London, United Kingdom, September 14–18, 2026
- acm_html_url
- https://dl.acm.org/doi/fullHtml/10.1145/3800935.3830869
- ccs_concepts
- CCS Concepts: • Computing methodologies → Information extraction ; • Computing methodologies → Natural language generation ; • Human-centered computing → Empirical studies in interaction design ; • Information systems → Decision support systems ;
- displayAuthor
- Valentin Grimm, Jessica Rubart, Eelco Herder, Carsten Röcker
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3800935
- displayPublishTime
- 2026-09-14
- acm_reference_format
- ACM Reference Format: Valentin Grimm, Jessica Rubart, Eelco Herder, and Carsten Röcker. 2026. The XAI-Seeking Principle: Structuring Explainability for LLM-Mediated Decision Support. In 37th ACM Conference on Hypertext (HT '26), September 14--18, 2026, London, United Kingdom. ACM, New York, NY, USA 7 Pages. https://doi.org/10.1145/3800935.3830869
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