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Daniel Peter Neumann

dblp:264/7323 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0001-6737-0522ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 2 · 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
2 papers
Human-AI interaction · 69% Human-robot interaction · 31%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
humanlikeness
0.412020
A Human Touch: Social Touch Increases the Perceived Human-likeness of Agents in Virtual Reality · CHI 2020
Human-AI interaction
user perception of AI
0.212023
Do You Mind? User Perceptions of Machine Consciousness · CHI 2023
Human-AI interaction
virtual agents
0.112020
A Human Touch: Social Touch Increases the Perceived Human-likeness of Agents in Virtual Reality · CHI 2020

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

thematic analysis · 0.7survey study · 0.7user study · 0.4artificial hand · 0.4
YearPublicationVenuePosition
2023 Do You Mind? User Perceptions of Machine Consciousness
abstract
The prospect of machine consciousness cultivates controversy across media, academia, and industry. Assessing whether non-experts perceive technologies as conscious, and exploring the consequences of this perception, are yet unaddressed challenges in Human Computer Interaction (HCI). To address them, we surveyed 100 people, exploring their conceptualisations of consciousness and if and how they perceive consciousness in currently available interactive technologies. We show that many people already perceive a degree of consciousness in GPT-3, a voice chat bot, and a robot vacuum cleaner. Within participant responses we identified dynamic tensions between denial and speculation, thinking and feeling, interaction and experience, control and independence, and rigidity and spontaneity. These tensions can inform future research into perceptions of machine consciousness and the challenges it represents for HCI. With both empirical and theoretical contributions, this paper emphasises the importance of HCI in an era of machine consciousness, real, perceived or denied.
Ava Scott, Daniel Peter Neumann, Jasmin Niess, Pawel W. Wozniak
CHI2
2020 A Human Touch: Social Touch Increases the Perceived Human-likeness of Agents in Virtual Reality
abstract
Virtual Reality experiences and games present believable virtual environments based on graphical quality, spatial audio, and interactivity. The interaction with in-game characters, controlled by computers (agents) or humans (avatars), is an important part of VR experiences. Pre-captured motion sequences increase the visual humanoid resemblance. However, this still precludes realistic social interactions (eye contact, imitation of body language), particularly for agents. We aim to make social interaction more realistic via social touch. Social touch is non-verbal, conveys feelings and signals (coexistence, closure, intimacy). In our research, we created an artificial hand to apply social touch in a repeatable and controlled fashion to investigate its effect on the perceived human-likeness of avatars and agents. Our results show that social touch is effective to further blur the boundary between computer- and human-controlled virtual characters and contributes to experiences that closely resemble human-to-human interactions.
Matthias Hoppe 0001, Beat Rossmy, Daniel Peter Neumann, Stephan Streuber, Albrecht Schmidt 0001, Tonja Machulla
CHI3