The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Users' error recovery strategies in the interaction with voice assistants (VAs)
Overview
Integrity signals
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Specifically, in the personal assistance domain, individual studies focused on utilising either computer speakers [53, 54, 57, 67, 79], mobile devices [50] or smart speakers [26, 40].”
From System and User Strategies to Repair Conversational Breakdowns of Spoken Dialogue Systems: A Scoping Review (2024) · cites this paper as [50]
In the citing paper
“When an SDS supports alternative input modes, users may opt to switch to typing [50] or using a touchscreen [53] to overcome communication breakdowns.”
From System and User Strategies to Repair Conversational Breakdowns of Spoken Dialogue Systems: A Scoping Review (2024) · cites this paper as [50]
In the citing paper
“Similarly, [50] examined how different types of voice assistants (e.g. Siri and Google Assistant) relate to user-repair strategies and found that users modify their utterances by adding or subtracting elements during breakdowns, indicating exploratory behaviours.”
From System and User Strategies to Repair Conversational Breakdowns of Spoken Dialogue Systems: A Scoping Review (2024) · cites this paper as [50]
In the citing paper
“Importantly, the selection of user-repair strategies is not random but is significantly influenced by the system's repair strategies [43, 50, 60, 61].”
From System and User Strategies to Repair Conversational Breakdowns of Spoken Dialogue Systems: A Scoping Review (2024) · cites this paper as [50]
In the citing paper
“This dynamic interaction has been explored in only a few studies (N=8) within our review (e.g., [50]).”
From System and User Strategies to Repair Conversational Breakdowns of Spoken Dialogue Systems: A Scoping Review (2024) · cites this paper as [50]
Citations
Cites
Luger, E., & Sellen, A. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858288 · Cited by 1,176
Voice Interfaces in Everyday Life
Porcheron, M., Fischer, J. E., Reeves, S., & Sharples, S. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174214 · Cited by 717
Communication Breakdowns Between Families and Alexa
Beneteau, E., Richards, O. K., Zhang, M., Kientz, J. A., Yip, J., & Hiniker, A. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300473 · Cited by 313
Patterns for How Users Overcome Obstacles in Voice User Interfaces
Myers, C., Furqan, A., Nebolsky, J., Caro, K., & Zhu, J. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173580 · Cited by 213
Why doesn't it work?: voice-driven interfaces and young children's communication repair strategies
Cheng, Y., Yen, K., Chen, Y., Chen, S., & Hiniker, A. (2018) · Proceedings of the 17th ACM Conference on Interaction Design and Children · doi:10.1145/3202185.3202749 · Cited by 69
Kim, J., Jeong, M., & Lee, S. C. (2019) · Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings · doi:10.1145/3349263.3351513 · Cited by 29
Research works printed but not linked: 8
- Cowan, B.R., Pantidi, N., Coyle, D., et al.: “What Can i Help You with?”: infrequent users’ experiences of intelligent personal assistants. In: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, pp. 1–12. Association for Computing Machinery, Vienna (2017) · DOI · Paper page
- Desmet, P., Overbeeke, K., Tax, S.: Designing products with added emotional value: development and application of an approach for research through design. Des. J. 4(1), 32–47 (2001). https://doi.org/10.2752/146069201789378496 · DOI
- Freund, A.: Word and phrase recognition in speech processing. In: Massaro, W.D. (ed.) Understanding Language - An information-Processing Analysis of Speech Perception, Reading, and Psycholinguistics, pp. 357–390. Academic Press, New York, NY, USA (1975)
- Kirschthaler, P., Porcheron, M., Fischer, J.E.: What Can I Say? In: Proceedings of the 2nd Conference on Conversational User Interfaces, Bilbao, Spain, pp. 1–9 (2020). https://doi.org/10.1145/3405755.3406119 · DOI
- Lopatovska, I., Griffin, A.L., Gallagher, K., et al.: User recommendations for intelligent personal assistants. J. Librarianship Inf. Sci. 52(2), 577–591 (2020). https://doi.org/10.1177/0961000619841107 · DOI
- Porcheron, M., Fischer, J.E., Sharples, S.: “Do Animals Have Accents?” In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, pp. 207–219. ACM, Portland (2017) · DOI
- Yarosh, S., Thompson, S., Watson, K., et al.: Children asking questions: speech interface reformulations and personification preferences. In: Proceedings of the 17th ACM Conference on Interaction Design and Children, pp. 300–312. ACM, Trondheim (2018) · DOI
- Stent, A.J., Huffman, M.K., Brennan, S.E.: Adapting speaking after evidence of misrecognition: local and global hyperarticulation. Speech Commun. 50, 163–178 (2008). https://doi.org/10.1016/j.specom.2007.07.005 · DOI
Cited by
Mavrina, L., Szczuka, J., Strathmann, C., Bohnenkamp, L. M., Krämer, N., & Kopp, S. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.791704 · Cited by 43
Alghamdi, E., Halvey, M., & Nicol, E. (2024) · ACM Conversational User Interfaces 2024 · doi:10.1145/3640794.3665558 · Cited by 36
Meck, A.-M., Draxler, C., & Vogt, T. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2023.2266791 · Cited by 3
Metadata
- Authors
- Motta, I., & Quaresma, M.
- Affiliations
- Pontifícia Universidade Católica do Rio de Janeiro (BR)
- Corresponding author
- Motta, Isabela
- Venue
- Lecture Notes in Networks and Systems
- Publisher
- Springer International Publishing
- Published
- 2021-06-13
- Pages
- 658-666
- ISSN
- 2367-3370 (ISSN-L)
- 2367-3389
- OpenAlex
- W3175178640
- Cited by
- 4
- References
- 6
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 2
- FWCI
- 0.46
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in networks and systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Keywords
- voice assistants, speech recognition errors, exploratory behavior, speech interfaces, human factors and ergonomics
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- The paper
- Motta, I., & Quaresma, M. (2022). Users' error recovery strategies in the interaction with voice assistants (VAs). Lecture Notes in Networks and Systems. https://doi.org/10.1007/978-3-030-74614-8_82
