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Human-Inspired Socially-Aware Interfaces

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Theory and Practice of Natural Computing (TPNC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11934))

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Abstract

Social interactions shape our human life and are inherently emotional. Human conversational partners usually try to interpret – consciously or unconsciously – the speaker’s or listener’s affective cues and respond to them accordingly. With the objective to contribute to more natural and intuitive ways of communicating with machines, an increasing number of research projects has started to investigate how to simulate similar affective behaviors in socially-interactive agents. In this paper we present an overview of the state of the art in social-interactive agents that expose a socially-aware interface including mechanisms to recognize a user’s emotional state, to respond to it appropriately and to continuously learn how to adapt to the needs and preferences of a human user. To this end, we focus on three essential properties of socially-aware interfaces: Social Perception, Socially-Aware Behavior Synthesis, and Learning Socially-Aware Behaviors. We also analyze the limitations of current approaches and discuss directions for future development.

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Acknowledgments

This work has been partially funded by the Bundesministerium für Bildung und Forschung (BMBF) within the project VIVA, Grant Number 16SV7960.

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Authors and Affiliations

  1. Human Centered Multimedia, Augsburg University, Augsburg, Germany

    Dominik Schiller, Katharina Weitz, Kathrin Janowski & Elisabeth André

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  1. Dominik Schiller
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  3. Kathrin Janowski
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  4. Elisabeth André
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Correspondence to Elisabeth André .

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Editors and Affiliations

  1. Rovira i Virgili University, Tarragona, Spain

    Carlos Martín-Vide

  2. Royal Military College of Canada, Kingston, ON, Canada

    Geoffrey Pond

  3. University of Extremadura, Cáceres, Spain

    Miguel A. Vega-Rodríguez

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Schiller, D., Weitz, K., Janowski, K., André, E. (2019). Human-Inspired Socially-Aware Interfaces. In: Martín-Vide, C., Pond, G., Vega-Rodríguez, M. (eds) Theory and Practice of Natural Computing. TPNC 2019. Lecture Notes in Computer Science(), vol 11934. Springer, Cham. https://doi.org/10.1007/978-3-030-34500-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-34500-6_2

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