arXiv Open Access 2022

Participatory Design for Mental Health Data Visualization on a Social Robot

Raida Karim Edgar Lopez Elin A. Björling Maya Cakmak

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Abstrak

The intersection of data visualization and human-robot interaction (HRI) is a burgeoning field. Understanding, communicating, and processing different kinds of data for creating versatile visualizations can benefit HRI. Conversely, expressing different kinds of data generated from HRI through effective visualizations can provide interesting insights. Our work adds to the literature of this growing domain. In this paper, we present our exploratory work on visualizing mental health data on a social robot. Particularly, we discuss development of mental health data visualizations using a participatory design (PD) approach. As a first step with mental health data visualization on a social robot, this work paves the way for relevant further work and using social robots as data visualization tools.

Topik & Kata Kunci

cs.HC cs.RO

Penulis (4)

Raida Karim

Edgar Lopez

Elin A. Björling

Maya Cakmak

Format Sitasi

APA MLA BibTeX

Karim, R., Lopez, E., Björling, E.A., Cakmak, M. (2022). Participatory Design for Mental Health Data Visualization on a Social Robot. https://arxiv.org/abs/2210.06469

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓