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New Communicative Strategies for the Affective Robot: F-2 Going Tactile and Complimenting

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Creativity in Intelligent Technologies and Data Science (CIT&DS 2021)


This paper is dedicated to modeling affective reactions in a communicative robot via achieving communicative goals. The effective robot F-2’s software processes multimodal input and facts extracted from input texts. Sentences in Russian are translated with a syntactic-semantic parser into semantic structures that represent sentences meanings and comprise valencies and semantic markers. Basing on the input, the robot changes its emotional state over time, generating effective remarks along with gestures and gazes. The emotional state is modeled via microstates, each represented as a communicative goal, which is further matched to multimodal reactions scenarios from a database. New communicative strategies are introduced. Basing on human features extraction from video, a robot implements strategies of complimenting and making friends; in both cases, it points at the addressee’s look, including clothes and glasses. With tactile sensors, the robot is taught to react to touching; thus the gap in perception is filled which had previously caused the loss of interest by people inclined to tactile communication. Precision is estimated for both methods which are on the basis of new communicative strategies.

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This research is supported by the grant of the Russian Science Foundation (project № 19–18-00547).

The F-2 team wishes to express gratitude to all of our respondents, including students of the Power Engineering department of BMSTU. All of the feedback is precious for us as it shows new directions of further development for F-2.

We also wish to thank our colleague Edward Klyshinsky for pointing out Azimov’s “Sally” short story for epigraphs, an inspiration to beam this article with.

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Correspondence to Liliya Volkova .

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Volkova, L., Ignatev, A., Kotov, N., Kotov, A. (2021). New Communicative Strategies for the Affective Robot: F-2 Going Tactile and Complimenting. In: Kravets, A.G., Shcherbakov, M., Parygin, D., Groumpos, P.P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2021. Communications in Computer and Information Science, vol 1448. Springer, Cham.

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