Method and apparatus for facilitating voice user interface design
First Claim
1. A computer-implemented method, comprising:
- identifying, by a processor, a plurality of user intentions from user interaction data;
associating, by the processor, each user intention from among the plurality of user intentions with at least one feature from among a plurality of features, wherein one or more features from among the plurality of features are extracted from natural language utterances associated with the user interaction data;
computing, by the processor, a plurality of distance metrics corresponding to pairs of user intentions from among the plurality of user intentions representing contextual reasons for seeking customer support, wherein a distance metric is computed for each pair of user intentions from among the pairs of user intentions and, wherein the distance metric is indicative of a measure of similarity between user intentions in a corresponding pair of user intentions;
generating, by the processor, a plurality of clusters based on the plurality of distance metrics, wherein each cluster from among the plurality of clusters comprises a set of user intentions from among the plurality of user intentions; and
provisioning, by the processor, a voice user interface (VUI) design recommendation based on the plurality of clusters.
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Abstract
A computer implemented method and an apparatus for facilitating voice user interface (VUI) design are provided. The method comprises identifying a plurality of user intentions from user interaction data. The method further comprises associating each user intention with at least one feature from among a plurality of features. One or more features from among the plurality of features are extracted from natural language utterances associated with the user interaction data. Further, the method comprises computing a plurality of distance metrics corresponding to pairs of user intentions from among the plurality of user intentions. A distance metric is computed for each pair of user intentions from among the pairs of user intentions. Furthermore, the method comprises generating a plurality of clusters based on the plurality of distance metrics. Each cluster comprises a set of user intentions. The method further comprises provisioning a VUI design recommendation based on the plurality of clusters.
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Citations
36 Claims
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1. A computer-implemented method, comprising:
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identifying, by a processor, a plurality of user intentions from user interaction data; associating, by the processor, each user intention from among the plurality of user intentions with at least one feature from among a plurality of features, wherein one or more features from among the plurality of features are extracted from natural language utterances associated with the user interaction data; computing, by the processor, a plurality of distance metrics corresponding to pairs of user intentions from among the plurality of user intentions representing contextual reasons for seeking customer support, wherein a distance metric is computed for each pair of user intentions from among the pairs of user intentions and, wherein the distance metric is indicative of a measure of similarity between user intentions in a corresponding pair of user intentions; generating, by the processor, a plurality of clusters based on the plurality of distance metrics, wherein each cluster from among the plurality of clusters comprises a set of user intentions from among the plurality of user intentions; and provisioning, by the processor, a voice user interface (VUI) design recommendation based on the plurality of clusters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. An apparatus comprising:
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at least one processor; and a memory having stored therein machine executable instructions, that when executed by the at least one processor, cause the apparatus to; identify a plurality of user intentions from user interaction data; associate each user intention from among the plurality of user intentions with at least one feature from among a plurality of features, wherein one or more features from among the plurality of features are extracted from natural language utterances associated with the user interaction data; compute a plurality of distance metrics corresponding to pairs of user intentions from among the plurality of user intentions representing contextual reasons for seeking customer support, wherein a distance metric is computed for each pair of user intentions from among the pairs of user intentions and, wherein the distance metric is indicative of a measure of similarity between user intentions in a corresponding pair of user intentions; generate a plurality of clusters based on the plurality of distance metrics, wherein each cluster from among the plurality of clusters comprises a set of user intentions from among the plurality of user intentions; and provision a VUI design recommendation based on the plurality of clusters. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
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Specification