Evidence map›Paper›PMID 41974857›Full record

ArticleScientific reports2026

Shared expectations of soft haptic feedback through imagined high-fives with robots and non-human animals at a science festival.

Lucas C van Laake, Femke E van Beek, Irene A Kuling

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lucas C van LaakeReshape Lab, Robotics Section, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. l.c.v.laake@tue.nl.
Femke E van BeekReshape Lab, Robotics Section, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Irene A KulingReshape Lab, Robotics Section, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

Funding

Centre for Unusual Collaborations, part of EWUU alliance (Eindhoven University of Technology, Wageningen University & Research, Utrecht University and University Medical Centre Utrecht) Imagining more-than-human communities
6 · The paper itself

Abstract

Imagine a community that does not only exist of humans but also has animals and robots as equal partners. How do we imagine physical interactions with others in such a community will feel? In this paper, we describe an experiment in which 172 participants designed haptic cues related to 13 presented images of a non-human animal or robot. We designed the experiment as an interactive experience at a science festival, where we used soft robotic haptic displays to present haptic cues. The results show that within the presented parameter space, the design choices of the participants were consistent, with clear differences between most of the images. For example, the haptic cue chosen for the elephant was very different from that of the spider. More specifically, we observe that haptic cue frequency and pressure are both correlated with haptic cue area, where larger cue size is associated with lower frequency and higher pressure. Overall, the results of the experiment demonstrate the potential of a large soft robotic haptic display as a versatile interface for human-machine interaction, and of our interactive experiment design as a tool for haptic cue classification by probing shared expectations among human participants.

Indexed as

Haptic InterfacesHaptic TechnologyImaginationRoboticsAdultAnimalsCuesFemaleHumansMaleYoung AdultHaptic interfaceMore-than-human perspectivePerceptionSoft actuatorTouch

Identifiers

PMID41974857
PMCPMC13234267

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.