An Iterative Interaction-Design Method for Multi-Modal Robot Communication

Conference Paper (2020)
Author(s)

E. Saad (TU Delft - Interactive Intelligence)

D.J. Broekens (Universiteit Leiden, TU Delft - Interactive Intelligence)

M.A. Neerincx (TNO, TU Delft - Interactive Intelligence)

Research Group
Interactive Intelligence
Copyright
© 2020 E. Saad, D.J. Broekens, M.A. Neerincx
DOI related publication
https://doi.org/10.1109/RO-MAN47096.2020.9223529
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 E. Saad, D.J. Broekens, M.A. Neerincx
Research Group
Interactive Intelligence
Bibliographical Note
Virtual/online event due to COVID-19 @en
Pages (from-to)
690-697
ISBN (electronic)
978-1-7281-6075-7
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The design space of human-robot interaction is large and multi-dimensional. A sound design requires a systematic theory-driven exploration, specification and refinement of design variables. There is a need for a practical method and tool to iteratively specify the content of the dialogue (e.g., speech acts) with the accompanying expressive behavior (e.g., gesture openness) as prescribed by social science theory, e.g., task- and person-oriented communication. This paper presents an iterative interaction-design (ID) method for multi-modal robot communication. Following the ID-method, a designer first creates his/her own individual design and, subsequently, provides an iteration to the evolving iterative design. To support the design method, we developed an ID-tool (available for download). The tool support entails (a) selecting the theory-based communication style; (b) creating and linking the dialogue act components for the concerning use case; and (c) setting the associated expression parameters. We conducted a study with Industrial Design students (N=13) who followed the ID-method and used our tool to design person- and task-oriented communications for a reception robot. Our method produced distinctive task- and person-oriented dialogue styles, i.e., provided the predicted theory-based multi-modal communicative behaviors. The task-oriented style showed a more formal, shorter and less chatty communication. Overall, there was a rather smooth design convergence process, in which the individual designs were harmonized into the iterative design. For the selected design problem, the ID-tool had a satisfactory usability. Next steps include validation of the communication styles in an empirical study and, subsequently, identification of reusable design patterns.

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