Abstract
Embedded Files
In this paper we examine the use of a robot's face as an interface for affective visualisation design, a concept that we name FaceVis. We conducted a design workshop with 9 experts to explore metaphorical ideas on how to leverage a robot's physicality, appearance and agency to convey data and communicate emotion. We present insights on potential challenges, benefits and pitfalls when using a robot's face to visualise data. Our results show that this approach has the potential to enhance user engagement, support self-reflection and elicit empathic concern. We contribute three design considerations and provide future research directions to investigate a robot's face as an interface for visualisation design.
Citation
Sarah Schömbs, Jiahe Pan, Yan Zhang, Jorge Goncalves, and Wafa Johal. 2024. FaceVis: Exploring a Robot's Face for Affective Visualisation Design. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24). Association for Computing Machinery, New York, NY, USA, Article 161, 1–10. https://doi.org/10.1145/3613905.3650910
@inproceedings{10.1145/3613905.3650910,
author = {Sch\"{o}mbs, Sarah and Pan, Jiahe and Zhang, Yan and Goncalves, Jorge and Johal, Wafa},
title = {FaceVis: Exploring a Robot's Face for Affective Visualisation Design},
year = {2024},
isbn = {9798400703317},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3613905.3650910},
doi = {10.1145/3613905.3650910},
booktitle = {Extended Abstracts of the CHI Conference on Human Factors in Computing Systems},
articleno = {161},
numpages = {10},
keywords = {affective visualisation design, data visualisation, faces, social robot},
location = {, Honolulu, HI, USA, },
series = {CHI EA '24}
}
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