Evidence map›Paper›PMID 26525705›Full record

ArticleScientific reports2015

Measuring empathy for human and robot hand pain using electroencephalography.

Yutaka Suzuki, Lisa Galli, Ayaka Ikeda, Shoji Itakura, Michiteru Kitazaki

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 2% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 163 citations in OpenAlex.

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  16. Can You Activate Me? From Robots to Human Brain.Frontiers in robotics and AI · 2021
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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

5 authors at 3 institutions in 2 countries.

Yutaka SuzukiDepartment of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan.
Lisa GalliFreie Universitaet Berlin, Berlin, Germany.
Ayaka IkedaDepartment of Psychology, Graduate School of Letters, Kyoto University, Kyoto, Japan.
Shoji ItakuraDepartment of Psychology, Graduate School of Letters, Kyoto University, Kyoto, Japan.
Michiteru KitazakiDepartment of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan.
Kyoto University · JPToyohashi University of Technology · JPFreie Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study provides the first physiological evidence of humans' ability to empathize with robot pain and highlights the difference in empathy for humans and robots. We performed electroencephalography in 15 healthy adults who observed either human- or robot-hand pictures in painful or non-painful situations such as a finger cut by a knife. We found that the descending phase of the P3 component was larger for the painful stimuli than the non-painful stimuli, regardless of whether the hand belonged to a human or robot. In contrast, the ascending phase of the P3 component at the frontal-central electrodes was increased by painful human stimuli but not painful robot stimuli, though the interaction of ANOVA was not significant, but marginal. These results suggest that we empathize with humanoid robots in late top-down processing similarly to human others. However, the beginning of the top-down process of empathy is weaker for robots than for humans.

Indexed as

EmpathyAnalysis of VarianceElectroencephalographyEvoked PotentialsFemaleHandHumansMalePainPain MeasurementPhotic StimulationRoboticsVisual PerceptionYoung Adult

Identifiers

PMID26525705
PMCPMC4630641
OpenAlexW2282380228

What OpenQuestion holds

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Registered trials

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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.