mlsanityData to 7 Oct 2026

The State of Speech in HCI: Trends, Themes and Challenges

arXiv 1810.06828 ↗First posted 16 Oct 2018cs.HCcited by 21

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Abstract (arXiv)

Speech interfaces are growing in popularity. Through a review of 68 research papers this work maps the trends, themes, findings and methods of empirical research on speech interfaces in HCI. We find that most studies are usability/theory-focused or explore wider system experiences, evaluating Wizard of Oz, prototypes, or developed systems by using self-report questionnaires to measure concepts like usability and user attitudes. A thematic analysis of the research found that speech HCI work focuses on nine key topics: system speech production, modality comparison, user speech production, assistive technology & accessibility, design insight, experiences with interactive voice response (IVR) systems, using speech technology for development, people's experiences with intelligent personal assistants (IPAs) and how user memory affects speech interface interaction. From these insights we identify gaps and challenges in speech research, notably the need to develop theories of speech interface interaction, grow critical mass in this domain, increase design work, and expand research from single to multiple user interaction contexts so as to reflect current use contexts. We also highlight the need to improve measure reliability, validity and consistency, in the wild deployment and reduce barriers to building fully functional speech interfaces for research.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Oct 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 5; 2023: 5; 2024: 5; 2025: 4; 2026: 1.

21 papers.

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  1. 2022Evaluating Human-Language Model Interactioncited by 90
  2. 2025LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesiscited by 75
  3. 2022Differentially Private Speaker Anonymizationcited by 16
  4. 2024Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversationcited by 14
  5. 2022A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairnesscited by 13
  6. 2023The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systemscited by 9
  7. 2023Transcending the "Male Code": Implicit Masculine Biases in NLP Contextscited by 5
  8. 2024Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Designcited by 5
  9. 2025Toward Metaphor-Fluid Conversation Design for Voice User Interfacescited by 5
  10. 2022MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speechcited by 4
  11. 2023Can Voice Assistants Sound Cute? Towards a Model of Kawaii Vocalicscited by 4
  12. 2023"I'm" Lost in Translation: Pronoun Missteps in Crowdsourced Data Setscited by 4
9 more
  1. 2026Raon-Speech Technical Reportcited by 4
  2. 2021What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approachcited by 3
  3. 2023Cross-Corpora Spoken Language Identification with Domain Diversification and Generalizationcited by 3
  4. 2024Coimagining the Future of Voice Assistants with Cultural Sensitivitycited by 3
  5. 2024Qualitative Approaches to Voice UXcited by 1
  6. 2024Large Language Model-assisted Speech and Pointing Benefits Multiple 3D Object Selection in Virtual Realitycited by 1
  7. 2025ChatGPT and U(X): A Rapid Review on Measuring the User Experiencecited by 1
  8. 2025Super Kawaii Vocalics: Amplifying the "Cute" Factor in Computer Voicecited by 1
  9. 2022On the Linguistic and Computational Requirements for Creating Face-to-Face Multimodal Human-Machine Interactioncited by 0