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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The dense model-graph seems very suitable for facial action coding based on the extracted deformations of the graph.
“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]
The Hong et al. method achieved a recognition rate of 89 percent in the case of familiar subjects and 73 percent in the case of unknown persons.
“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]
The time necessary for performing a full analysis of an incoming facial image by the Hong et al. method is about eight seconds.
“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]
Hong et al. have not discussed the issue of using the dense model-graph for facial action coding based on extracted deformations of the graph.
“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]
The face model used by Wang et al. represents a way of improving the labeled-graph-based models to include intensity measurement of the encountered facial expressions based on the information stored in the links between the nodes.
“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]
Only three of the surveyed systems deal to some extent with rigid head motions.
“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]
Only two surveyed systems deal with automatic face detection in an arbitrary scene.
“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]
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- 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
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- facial displays, nonverbal communication, human-computer interaction, spoken dialogue systems, cognitive load, emotional signals
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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