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Magdalena May

dblp:404/5815 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0003-3623-8005ORCID · reported

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

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Artificial intelligence and machine learning · 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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
anthropomorphism
0.912025
Disarming II · HRI 2025
Human-robot interaction
robot locomotion
0.312025
Disarming II · HRI 2025
YearPublicationVenuePosition
2025 Disarming II
abstract
Disarming II is a performative exploration of the relationship between a robotic arm, its artificial environment, and human observers. An industrial robotic arm is placed freely on a gym mat, learning how to locomote. Witnessing the arm's first clumsy tries may evoke compassion or even a certain emotional bond. Historically, the ability to move on one's own was once considered a sign of being alive. While our understanding of autonomy and aliveness has evolved, our tendency to anthropomorphize remains. This work invites observers to reflect on their projections and the multiplicity of relationships between all involved entities.
Emanuel Gollob, Magdalena May, Amir Bastan, Johannes Braumann
HRI2
2021 Using Robotics and A.I. to Physically Explore a Space of Aesthetic Possibilities: Defining a Physical Aesthetic Experience by the Targeted EEG Feedback of the Perceiver
abstract
Aesthetic perception and cognition processes are highly individual dynamic processes due to their dependency on the emotional affective state, perceptual analysis, memory, context, and cognitive mastering. Therefore, an aesthetic experience will always be perceived differently for every person and time. With our approach, we research the potential to define an adaptive physical aesthetic experience by the targeted EEG feedback of the perceiver.
Emanuel Gollob, Magdalena May, Johannes Braumann
TEI2