Designing Multimodal Human-Robot Interaction for Social Robots in Office Environments

Social robots are becoming increasingly relevant and are expected to enter our professional lives. A key challenge lies in designing these robots to ensure their behaviors are easily and intuitively understood by the users and match their expectations. This paper focuses on the design and implementation of a multimodal interaction system for social robots in office environments. Following a user-centered design approach, we iteratively developed and evaluated a prototype through multiple user studies, addressing various office-related use cases such as welcoming arriving guests and guiding them to a room. The results provide key insights into the multimodal interaction user experience of our robot. This helped us to identify key requirements and features for natural and engaging interactions.

Authors

Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006378
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing Multimodal Human-Robot Interaction for Social Robots in Office Environments

Gerald Zwettler, Sebastian Pimminger, Werner Kurschl, Johannes Schönböck
AHFE international
Social Robot Interaction and HRI
article

Designing Multimodal Human-Robot Interaction for Social Robots in Office Environments

Gerald Zwettler, Sebastian Pimminger, Werner Kurschl, Johannes Schönböck
article en

Abstract

Social robots are becoming increasingly relevant and are expected to enter our professional lives. A key challenge lies in designing these robots to ensure their behaviors are easily and intuitively understood by the users and match their expectations. This paper focuses on the design and implementation of a multimodal interaction system for social robots in office environments. Following a user-centered design approach, we iteratively developed and evaluated a prototype through multiple user studies, addressing various office-related use cases such as welcoming arriving guests and guiding them to a room. The results provide key insights into the multimodal interaction user experience of our robot. This helped us to identify key requirements and features for natural and engaging interactions.

AHFE internationalVol. 179
Openalex Percentile: Top 83%
Social Robot Interaction and HRI
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