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User modelling in interactive explanations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/imms.1993.1009openalex-snapshot
Planning interactive explanations
inferredcites →https://doi.org/10.1007/978-1-4757-5945-7openalex-snapshot
Natural Language Generation in Artificial Intelligence and Computational Linguistics
inferredcites →https://doi.org/10.1007/978-1-4757-5945-7_1openalex-snapshot
A Reactive Approach to Explanation: Taking the User’s Feedback into Account
inferredcites →https://doi.org/10.1007/978-3-642-77681-6_8openalex-snapshot
The Central Importance of Student Modelling to Intelligent Tutoring
inferredcites →https://doi.org/10.1007/978-3-642-83230-7_14openalex-snapshot
Student Modeling in Intelligent Tutoring Systems — Implications for User Modeling
inferredcites →https://doi.org/10.1007/978-3-642-83230-7_4openalex-snapshot
KNOME: Modeling What the User Knows in UC
inferredcites →https://doi.org/10.1007/978-3-642-83230-7_8openalex-snapshot
The Use of Explicit User Models in a Generation System for Tailoring Answers to the User’s Level of Expertise
inferredcites →https://doi.org/10.1007/bf00141081openalex-snapshot
Building a user model implicitly from a cooperative advisory dialog
inferredcites →https://doi.org/10.1007/bf00154476openalex-snapshot
Active acquisition of user models: Implications for decision-theoretic dialog planning and plan recognition
inferredcites →https://doi.org/10.1007/bf00158953openalex-snapshot
Revising deductive knowledge and stereotypical knowledge in a student model
inferredcites →https://doi.org/10.1007/bf01101108openalex-snapshot
Exploiting user feedback to compensate for the unreliability of user models
inferredcites →https://doi.org/10.1007/bf01101109openalex-snapshot
Interactive user modeling: An integrative explicit-implicit approach
inferredcites →https://doi.org/10.1016/0004-3702(80)90021-1openalex-snapshot
BLAH, a system which explains its reasoning
inferredcites →https://doi.org/10.1016/s0020-7373(79)80004-8openalex-snapshot
Tutoring rules for guiding a case method dialogue
inferredcites →https://doi.org/10.1016/s0020-7373(85)80025-0openalex-snapshot
UMFE: A user modelling front-end subsystem
inferredcites →https://doi.org/10.1016/s0020-7373(86)80041-4openalex-snapshot
Using planning techniques in intelligent tutoring systems
inferredcites →https://doi.org/10.1111/j.1467-8640.1991.tb00404.xopenalex-snapshot
A task‐appropriate hybrid architecture for explanation
inferredcites →https://doi.org/10.1145/169059.169243openalex-snapshot
Exploring the applications of user-expertise assessment for intelligent interfaces
inferredcites →https://doi.org/10.1145/259964.260180openalex-snapshot
User tailored hypermedia explanations
inferredcites →https://doi.org/10.17863/cam.16365openalex-snapshot
Planning multisentential English text using communicative acts
inferredcites →https://doi.org/10.3115/974499.974511openalex-snapshot
Automatic generation of on-line documentation in the IDAS project
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1006/ijhc.1998.0231openalex-snapshot
Taking up the situated cognition challenge with ripple down rules
inferred← citeshttps://doi.org/10.1007/3-540-49795-1_32openalex-snapshot
A Method to Diagnose the User’s Level
inferred← citeshttps://doi.org/10.1007/3-540-61291-2_45openalex-snapshot
Extending the role of user feedback in plan recognition and response generation for advice-giving systems: An initial report
inferred← citeshttps://doi.org/10.1007/978-1-4614-4803-7_6openalex-snapshot
Statistical Approaches to Adaptive Natural Language Generation
inferred← citeshttps://doi.org/10.1007/978-1-5041-2896-4_46openalex-snapshot
Satisfying User Needs Through a Combination of Interface Design Techniques
inferred← citeshttps://doi.org/10.1007/978-3-322-91230-5_4openalex-snapshot
HAMVIS: Generierung von Visualisierungen in einem Rahmensystem zur systematischen Entwicklung von Benutzungsschnittstellen
inferred← citeshttps://doi.org/10.1007/978-3-540-28631-8_29openalex-snapshot
Explanations and Case-Based Reasoning: Foundational Issues
inferred← citeshttps://doi.org/10.1007/978-3-642-79958-7_39openalex-snapshot
Erklärungsgenerierung in Petri-Help
inferred← citeshttps://doi.org/10.1007/bf01099299openalex-snapshot
Forming user models by understanding user feedback
inferred← citeshttps://doi.org/10.1007/s00146-022-01462-7openalex-snapshot
Artificial agents’ explainability to support trust: considerations on timing and context
inferred← citeshttps://doi.org/10.1007/s10115-002-0076-3openalex-snapshot
Knowledge-Based System Explanation: The Ripple-Down Rules Alternative
inferred← citeshttps://doi.org/10.1007/s43681-025-00733-5openalex-snapshot
Navigating the informativeness-compression trade-off in XAI
inferred← citeshttps://doi.org/10.1016/0950-7051(95)98370-lopenalex-snapshot
Structuring collaborative information-seeking dialogues
inferred← citeshttps://doi.org/10.1016/0957-4174(94)e0041-ropenalex-snapshot
Developing an explanation component for a knowledge-based system: Discussion
inferred← citeshttps://doi.org/10.1016/j.artint.2018.07.007openalex-snapshot
Explanation in artificial intelligence: Insights from the social sciences
inferred← citeshttps://doi.org/10.1016/j.artint.2021.103525openalex-snapshot
Levels of explainable artificial intelligence for human-aligned conversational explanations
inferred← citeshttps://doi.org/10.1016/j.indmarman.2023.09.007openalex-snapshot
Collaboration with machines in B2B marketing: Overcoming managers' aversion to AI-CRM with explainability
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.05.009openalex-snapshot
Notions of explainability and evaluation approaches for explainable artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.knosys.2012.08.006openalex-snapshot
Automated interpretation of key performance indicator values and its application in education
inferred← citeshttps://doi.org/10.1017/cbo9780511844492.007openalex-snapshot
Reinforcement learning approaches to natural language generation in interactive systems
inferred← citeshttps://doi.org/10.1017/s026988890200019xopenalex-snapshot
A review of explanation methods for Bayesian networks
inferred← citeshttps://doi.org/10.1017/s0269888904000190openalex-snapshot
A review of explanation methods for heuristic expert systems
inferred← citeshttps://doi.org/10.1023/a:1011174108613openalex-snapshot
Natural Language Processing and User Modeling: Synergies and Limitations
inferred← citeshttps://doi.org/10.1109/tlt.2022.3225432openalex-snapshot
An AI-based Approach for Grading Students’ Collaboration
inferred← citeshttps://doi.org/10.1142/s0218213012500133openalex-snapshot
AN EXPLANATION FACILITY FRAMEWORK FOR RULE-BASED SYSTEMS
inferred← citeshttps://doi.org/10.1145/3379503.3403554openalex-snapshot
“I’d like an Explanation for That!”Exploring Reactions to Unexpected Autonomous Driving
inferred← citeshttps://doi.org/10.1145/3572921.3572942openalex-snapshot
Making AI Understandable by Making it Tangible: Exploring the Design Space with Ten Concept Cards
inferred← citeshttps://doi.org/10.1162/coli_a_00203openalex-snapshot
Adaptive Generation in Dialogue Systems Using Dynamic User Modeling
inferred← citeshttps://doi.org/10.1177/2158244011408618openalex-snapshot
Designing for Explanation in Health Care Applications of Expert Systems
inferred← citeshttps://doi.org/10.1177/21695067231193682openalex-snapshot
Cognitive Empathy within Patient-AI Communication for Diagnostic Reasoning
inferred← citeshttps://doi.org/10.1515/pjbr-2021-0002openalex-snapshot
Understandable and trustworthy explainable robots: A sensemaking perspective
inferred← citeshttps://doi.org/10.2298/bg20120516tomicopenalex-snapshot
Ekspertni sistemi i sistemi za izveštavanje
inferred← citeshttps://doi.org/10.37099/mtu.dc.etdr/1029openalex-snapshot
INVESTIGATING THE IMPACT OF EXPLANATION ON REPAIRING TRUST IN AI DIAGNOSTIC SYSTEMS FOR RE-DIAGNOSIS
inferred← citeshttps://doi.org/10.37099/mtu.dc.etdr/1437openalex-snapshot
Examining Cognitive Empathy Elements within AI Chatbots for Healthcare Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2006.00093openalex-snapshot
Explainable Artificial Intelligence: a Systematic Review
inferred← citeshttps://doi.org/10.48550/arxiv.2011.05429openalex-snapshot
Debugging Tests for Model Explanations
inferred← citeshttps://doi.org/10.70675/216d3647z78bcz4c68z9ba9z2d0a029cf1b4openalex-snapshot
Misplaced trust in AI : the explanation paradox and the human-centric path. A characterisation of the cognitive challenges to appropriately trust algorithmic decisions and applications in the financial sector
inferred← citeshttps://doi.org/10.70675/f267d267zd556z4f77z89c9z575baed5158aopenalex-snapshot
Explainable cautious classifiers
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