The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Communicative facial displays as a new conversational modality
Abstract
The human face is an independent communication channel that conveys emotional and conversational signals encoded as facial displays. Facial displays can be viewed as communicative signals that help coordinate conversation. We are attempting to introduce facial displays into computer-human interaction as a new modality. This will make the interaction tighter and more efficient while lessening the cognitive load. As the first step, a speech dialogue system was selected to investigate the power of communicative facial displays. We analyzed the conversations between users and the speech dialogue system, to which facial displays had been added. We found that conversation with the system featuring facial displays was more successful than that with a system without facial displays.
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In the citing paper
“The dense model-graph seems very suitable for facial action coding based on the extracted deformations of the graph.”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [30]
In the citing paper
“The achieved recognition rate was 89 percent in the case of the familiar subjects and 73 percent in the case of unknown persons.”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [30]
In the citing paper
“The time necessary for performing a full analysis of an incoming facial image is about eight seconds.”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [30]
In the citing paper
“However, this issue has not been discussed by Hong et al. [30].”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [30]
In the citing paper
“The face model used by Wang et al. represents a way of improving the labeled-graph-based models (e.g., [30]) to include intensity measurement of the encountered facial expressions based on the information stored in the links between the nodes.”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [30]
In the citing paper
“Only three of the surveyed systems deal to some extent with rigid head motions ([2], [18], [30]).”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [30]
In the citing paper
“only two systems deal with the automatic face detection in an arbitrary scene ( [30], [24]).”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [30]
Citations
Cites
Ekman, P., & Friesen, W. V. (2019) · PsycTESTS Dataset · doi:10.1037/t27734-000 · Cited by 6,019
Ekman, P., & Friesen, W. V. (1975) · Cited by 3,569
The Repertoire of Nonverbal Behavior: Categories, Origins, Usage, and Coding
EKMAN, P., & FRIESEN, W. V. (1969) · Semiotica · doi:10.1515/semi.1969.1.1.49 · Cited by 3,316
Ekman, P. (1975) · Cited by 1,565
A muscle model for animation three-dimensional facial expression
Waters, K. (1987) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/37401.37405 · Cited by 749
A muscle model for animation three-dimensional facial expression
Waters, K. (1987) · ACM SIGGRAPH Computer Graphics · doi:10.1145/37402.37405 · Cited by 489
An efficient augmented-context-free parsing algorithm
Tomita, M. (1987) · Cited by 195
Don, A., Brennan, S., LAUREL, B. K., & Shneiderman, B. (1992) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/142750.142760 · Cited by 55
Emotions and Facial Expression
Fridlund, A. J., Gilbert, A. N., Izard, C. E., & Burdett, A. N. (1985) · Science · doi:10.1126/science.4048950 · Cited by 31
Itou, K., Hayamizu, S., & Tanaka, H. (1992) · Transactions of the Institute of Electronics, Information and Communication Engineers · Cited by 22
Cited by
Sorted by citations
Automatic analysis of facial expressions: the state of the art
Pantie, M., & Rothkrantz, L. J. M. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.895976 · Cited by 1,778
Emotion and sociable humanoid robots
Breazeal, C. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00018-1 · Cited by 1,279
Toward an affect-sensitive multimodal human-computer interaction
Pantic, M., & Rothkrantz, L. J. M. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.817122 · Cited by 791
Cassell, J., Pélachaud, C., Badler, N. I., Steedman, M. J., Achorn, B., Becket, T., Douville, B., Prevost, S., & Stone, M. (1994) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/192161.192272 · Cited by 687
Embodiment in conversational interfaces
Cassell, J., Bickmore, T., Billinghurst, M., Campbell, L. W., Chang, K., Vilhjálmsson, H. H., & Yan, H. (1999) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/302979.303150 · Cited by 569
Metadata
- Authors
- Takeuchi, A., & Nagao, K.
- Affiliations
- Sony Computer Science Laboratories (JP)
- Venue
- Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93
- Publisher
- ACM Press
- Published
- 1993
- Pages
- 187-193
- OpenAlex
- W1974643247
- Cited by
- 140
- References
- 12
- Citations by year
- 2026: 1 · 2025: 2 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 6 · 2018: 3 · 2017: 1 · 2016: 1 · 2015: 3 · 2014: 5 · 2013: 2 · 2012: 4
- FWCI
- 10.96
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Keywords
- facial displays, nonverbal communication, human-computer interaction, spoken dialogue systems, cognitive load, emotional signals
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