The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Designing natural speech interactions for the living room
Abstract
Speech technology promises to enable 'natural' experiences that remove the translation between a user's desires and a system's actions. While speech systems can translate speech into text, they cannot yet understand the vast range of users' intentions. The use of speech is also expanding from mobile contexts to environments like the living room. Given these shifts, key design questions emerge. How do we encourage natural speech while conveying scope? How do we provide feedback of understanding? What is the role of text-to-speech in this context? This paper presents findings from studying a prototype speech system enabling users to find movies and TV shows. We show the influence of a novel approach for conveying examples, a method for seamlessly integrating text and audio feedback, and share guidance on the use of text-to-speech in the living room.
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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 [44]
Citations
Cites
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Composing letters with a simulated listening typewriter
Gould, J. D., Conti, J., & Hovanyecz, T. (1983) · Communications of the ACM · doi:10.1145/2163.358100 · Cited by 225
Multimodal dialogue systems for interactive TV applications
Ibrahim, A., & Johansson, P. (2003) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1109/icmi.2002.1166979 · Cited by 31
The prospects for unrestricted speech input for TV content search
Wittenburg, K. B., Lanning, T., Schwenke, D. L., Shubin, H., & Vetro, A. (2006) · International Conference on Advanced Visual Interfaces (AVI) · doi:10.1145/1133265.1133338 · Cited by 27
Say it Like You Mean it: Priming for Structure in Caller Responses to a Spoken Dialog System
Sheeder, T., & Balogh, J. (2003) · International Journal of Speech Technology · doi:10.1023/a:1022326328600 · Cited by 21
Accessible Multimodal Media Center Application for Blind and Partially Sighted People
Turunen, M., Soronen, H., Pakarinen, S., Hella, J., Keskinen, T., Hakulinen, J., Melto, A., Rajaniemi, J.-P., Mäkinen, E., Heimonen, T., et al. (2010) · Computers in entertainment · doi:10.1145/1902593.1902595 · Cited by 15
Creativity in Interactive TV: Personalize, Share, and Invent Interfaces
Vatavu, R.-D. (2009) · Human-computer interaction series · doi:10.1007/978-1-84882-701-1_12 · Cited by 9
Conversational Re-Prompting in Natural Language Dialog
Blanchard, H. E., & Stewart, O. T. (2004) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120404800401 · Cited by 5
Conversational re-prompting in natural language dialog
Blanchard, H. E., & Stewart, O. T. (2004) · PsycEXTRA Dataset · doi:10.1037/e577222012-001 · Cited by 1
Research works printed but not linked: 1
- Niman, M. Talk to Your TV: Speech Design in the Living Room. Presented at SpeechTEK 2012. http://www.speechtek.com/2012/Presentations.aspx
Cited by
Sorted by citations
Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts
Zamfirescu-Pereira, J. D., Wong, R. Y., Hartmann, B., & Yang, Q. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581388 · Cited by 1,274
“, designing multi-turn conversational interactions—follows a well-established workfow [12, 13, 24, 25, 39, 44].”
BackgroundRe-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design
Yang, Q., Steinfeld, A., Rosé, C., & Zimmerman, J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376301 · Cited by 622
“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]).”
MethodSketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Yang, Q., Cranshaw, J., Amershi, S., Iqbal, S. T., & Teevan, J. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300415 · Cited by 90
Yarosh, S., Thompson, S., Watson, K., Chase, A., Senthilkumar, A., Yuan, Y., & Brush, A. J. B. (2018) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3202185.3202207 · Cited by 91
Co-designing conversational agents: A comprehensive review and recommendations for best practices
Sadek, M., Calvo, R. A., & Mougenot, C. (2023) · Design Studies · doi:10.1016/j.destud.2023.101230 · Cited by 55
Metadata
- Authors
- Stifelman, L., Elman, A., & Sullivan, A.
- Affiliations
- Microsoft (United States) (US)
- ORCID
- Sullivan, Anne
- Venue
- CHI '13 Extended Abstracts on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2013-04-27
- Pages
- 1215-1220
- OpenAlex
- W2004728325
- Cited by
- 13
- References
- 9
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 2 · 2020: 1 · 2019: 3 · 2018: 1 · 2014: 2 · 2013: 1
- FWCI
- 0.65
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Keywords
- living room, speech interfaces, user intent understanding, text-to-speech, audio feedback
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