Evidence map›Paper›PMID 35978569›Full record

ArticleFrontiers in neurorobotics2022

Is It Me or the Robot? A Critical Evaluation of Human Affective State Recognition in a Cognitive Task.

Doreen Jirak, Motonobu Aoki, Takura Yanagi, Atsushi Takamatsu, Stephane Bouet, Tomohiro Yamamura, Giulio Sandini, Francesco Rea

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 2 countries.

Doreen JirakRobotics, Brain and Cognitive Science Group (RBCS), Istituto Italiano di Tecnologia, Genova, Italy.
Motonobu AokiRobotics, Brain and Cognitive Science Group (RBCS), Istituto Italiano di Tecnologia, Genova, Italy.
Takura YanagiMobility and AI Laboratory, Research Division, Nissan Motor Co., Ltd., Atsugi, Japan.
Atsushi TakamatsuMobility and AI Laboratory, Research Division, Nissan Motor Co., Ltd., Atsugi, Japan.
Stephane BouetMobility and AI Laboratory, Research Division, Nissan Motor Co., Ltd., Atsugi, Japan.
Tomohiro YamamuraMobility and AI Laboratory, Research Division, Nissan Motor Co., Ltd., Atsugi, Japan.
Giulio SandiniRobotics, Brain and Cognitive Science Group (RBCS), Istituto Italiano di Tecnologia, Genova, Italy.
Francesco ReaRobotics, Brain and Cognitive Science Group (RBCS), Istituto Italiano di Tecnologia, Genova, Italy.
Nissan (Japan) · JPItalian Institute of Technology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key goal in human-robot interaction (HRI) is to design scenarios between humanoid robots and humans such that the interaction is perceived as collaborative and natural, yet safe and comfortable for the human. Human skills like verbal and non-verbal communication are essential elements as humans tend to attribute social behaviors to robots. However, aspects like the uncanny valley and different technical affinity levels can impede the success of HRI scenarios, which has consequences on the establishment of long-term interaction qualities like trust and rapport. In the present study, we investigate the impact of a humanoid robot on human emotional responses during the performance of a cognitively demanding task. We set up three different conditions for the robot with increasing levels of social cue expressions in a between-group study design. For the analysis of emotions, we consider the eye gaze behavior, arousal-valence for affective states, and the detection of action units. Our analysis reveals that the participants display a high tendency toward positive emotions in presence of a robot with clear social skills compared to other conditions, where we show how emotions occur only at task onset. Our study also shows how different expression levels influence the analysis of the robots' role in HRI. Finally, we critically discuss the current trend of automatized emotion or affective state recognition in HRI and demonstrate issues that have direct consequences on the interpretation and, therefore, claims about human emotions in HRI studies.

Indexed as

action unitsaffective statescognitive loadhuman-robot interactionsocial robots

Identifiers

PMID35978569
PMCPMC9377278
OpenAlexW4289260237

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.