Toyota Jidosha Kabushiki Kaisha

Toyota Research Institute, Inc.

Matthew Kyung-Soo Hong

Shabnam Hakimi

Yin-Ying Chen

Charlene C Wu

Yanxia Zhang

Totte Harri Harinen

Kenton Michael Lyons

Monica PhuongThao Van

A method for automated moodboard augmentation via cross-modal generative association making is described. The method includes specifying, by a user, a region to augment in their digital workspace, including at least one selected image. The method also includes inferring a representative text, label, or description for the at least one selected image. The method further includes creating a basis for concept blending based on the representative text, label, or description inferred for the at least one selected image. The method also includes generating images in response to an adjustable slider, as adjusted by the user, to adjust how much the generated images should resemble directly adjacent images, including the at least one selected image.

Automated moodboard augmentation via cross-modal generative association making

A method for inferring intent and discrepancies in a label coding scheme is described. The method includes compiling data indicating how one or more individuals labeled unstructured content according to the label coding scheme comprising a plurality of labels. The method also includes analyzing a context associated with a content labeled in a particular manner by the one or more individuals. The method further includes detecting discrepancies of meaning for a particular label used by the one or more individuals. The method also includes inferring a strategic thinking of the one or more individuals associated with the discrepancies of meaning detected for the particular label. The method further includes displaying recorded metadata associated with the strategic thinking and the discrepancies of meaning detected for the particular label between the one or more individuals regarding a coded dataset.

System and method to infer thoughts and a process through which a human generated labels for a coding scheme

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Mountain View, CA, United States of America

Matthew Kyung-Soo Hong