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Anthony Brumpton

dblp:376/0652 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-0328-5836ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 70% Haptics and multimodal interaction · 30%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › auditory feedback
movement sonification
0.912025
Embodied Composition for Imagining Robotic Sound Space · HRI 2025
Human-robot interaction
nonverbal communication
0.912025
Embodied Composition for Imagining Robotic Sound Space · HRI 2025
Human-robot interaction › robot design
robot sound design
0.912025
Embodied Composition for Imagining Robotic Sound Space · HRI 2025

Methods — techniques the papers use, named apart from their topics

participatory design · 0.9embodied composition · 0.9
YearPublicationVenuePosition
2025 Embodied Composition for Imagining Robotic Sound Space
abstract
This paper presents an account of using embodied composition as an approach to engage people in imagining robotic sound space. Embodied composition entails using bodily movements to produce a sequence of sounds. Semantic-free sound can play a useful communicative role in human-robot interaction. This includes robotic consequential sounds, i.e., sounds that robots inevitably make when moving, and the sonification of this movement. We bring together these topics and present a participatory, embodied approach that enables in-person investigation of robot consequential sound and movement sonification. We present three key insights about the approach based on three consecutive studies with a total of 29 participants. First, embodied composition engages participants' imagination of robotic sounds. Second, we found that movement, similar to listening, is tied to the individual and thereby leads to features and constraints for composition. Third, we found that sound can change people's experiences of the physical presence of the robot. Our discussion highlights that designing robot sounds benefits from a dialectical interaction approach. This offers a new direction for sound in human-robot interaction, relying not just on linear and functional design, but rather on designing for sound experiences.
Stine S. Johansen, Yanto Browning, Anthony Brumpton, Jasper Vermeulen, Wei Win Loy, Jared Donovan, Markus Rittenbruch
HRI3