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LLM and Natural Language Interaction / Dialogue Error Repair and Failure Recovery Strategies

Voice assistants are error-prone in multi-step tasks, and users pay a high cost to repair failed interactions.

lightbulbPractical problemDialogue Error Repair and Failure Recovery Strategies

Voice assistants are error-prone in multi-step tasks, and users pay a high cost to repair failed interactions.

CUI '22Cross-Modal Repair: Gaze and Speech Interaction for List Advancement

Similar questions

lightbulbPractical problemDialogue Error Repair and Failure Recovery Strategies

Voice assistants typically provide ineffective or irrelevant explanations when errors occur, leaving users unable to resolve problems.

CUI '24Voice Assistants' Accountability through Explanatory Dialogues

lightbulbPractical problemDialogue Error Repair and Failure Recovery Strategies

When communication breaks down, voice assistants easily frustrate users and lack humanized feedback.

CUI '23Exploring Humor as a Repair Strategy During Communication Breakdowns with Voice Assistants

lightbulbPractical problemDialogue Error Repair and Failure Recovery Strategies

Users often need to repeat queries when voice assistants handle incomplete questions, resulting in poor experience.

CUI '23Understanding and Answering Incomplete Questions

lightbulbPractical problemDialogue Error Repair and Failure Recovery Strategies

Users lose trust due to frequent voice assistant failures and are unwilling to use complex task features.

CHI '23A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures

Related papers

Voice Assistants' Accountability through Explanatory Dialogues

Fatemeh Alizadeh, Peter Tolmie, Minha Lee

Exploring Humor as a Repair Strategy During Communication Breakdowns with Voice Assistants

Mikkel Clausen, Mikkel Peter Kyhn, Eleftherios Papachristos

Understanding and Answering Incomplete Questions

Angus Addlesee, Marco Damonte

A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures

Amanda Baughan, Xuezhi Wang, Ariel Liu