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Suede: a Wizard of Oz prototyping tool for speech user interfaces
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“Today's chatbot design practice-i.e., designing multi-turn conversational interactions-follows a well-established workfow [12,13,24,25,39,44].”
From Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts (2023) · cites this paper as [25]
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“One approach is to create Wizard of Oz systems or rule-based simulators as an early-stage interactive AI prototype (e.g. as in [11, 30, 40, 44]).”
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Metadata
- Authors
- Klemmer, S. R., Sinha, A. K., Chen, J., Landay, J. A., Aboobaker, N., & Wang, A.
- Affiliations
- University of California, Berkeley (US)
- Venue
- Proceedings of the 13th annual ACM symposium on User interface software and technology - UIST '00
- Publisher
- ACM Press
- Published
- 2000
- Pages
- 1-10
- OpenAlex
- W1972051027
- Cited by
- 230
- References
- 36
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 28 · 2023: 9 · 2022: 9 · 2021: 11 · 2020: 6 · 2019: 10 · 2018: 6 · 2017: 7 · 2016: 4 · 2015: 10 · 2014: 13 · 2013: 11 · 2012: 2
- FWCI
- 104.22
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Symposium on User Interface Software and Technology (UIST) (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Fashion and Cultural Textiles
- Social Sciences › Arts and Humanities › Museology › Crafts, Textile, and Design
- Physical Sciences › Materials Science › Polymers and Plastics › Textile materials and evaluations
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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