Evidence map›Paper›PMID 36576933›Full record

ArticlePloS one2022

Towards a simultaneously speaking bilingual robot: Primary study on the effect of gender and pitch of the robot's voice.

Hamed Pourfannan, Hamed Mahzoon, Yuichihiro Yoshikawa, Hiroshi Ishiguro

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Hamed PourfannanIntelligent Robotics Laboratory (Hiroshi Ishiguro's Laboratory), Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka, Japan.ORCID 0000-0002-5589-2961
Hamed MahzoonInstitute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan.
Yuichihiro YoshikawaIntelligent Robotics Laboratory (Hiroshi Ishiguro's Laboratory), Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka, Japan.
Hiroshi IshiguroIntelligent Robotics Laboratory (Hiroshi Ishiguro's Laboratory), Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka, Japan.
The University of Osaka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With fast and reliable international transportation, more people with different language backgrounds can interact now. As a result, the need for communicative agents fluent in several languages to assist those people is highlighted. The high cost of hiring human attendants fluent in several languages makes using social robots a more affordable alternative in international gatherings. A social robot capable of presenting a piece of information in more than one language at the same time to its audience is the goal of this line of study. However, the negative effect of background noise on speech comprehension in humans is well-established. Hence, presenting a piece of information in two different languages at the same time by the robot creates an adverse listening condition for both individuals listening to the speech of such a bilingual robot. In this study, we investigated whether manipulating the pitch and gender of the robot's voice could affect human subjects' memory of the presented information in the presence of background noise. The results indicate that the pitch and gender of the speaking voice do indeed affect our memory of the presented information. when a male voice was used, a higher pitch resulted in significantly better memory performance than a lower pitch. Contrarily, when a female voice was used, a lower pitch resulted in significantly better memory in participants than a higher pitch. Both male and female subjects performed significantly better with a female voice in a noisy background. In nutshell, the result of this study suggests using a female voice for robots in noisy conditions, as in the case of simultaneously speaking robots, can significantly improve the retrieval of presented information in human subjects.

Indexed as

RoboticsVoiceFemaleHumansLanguageMaleSocial InteractionSpeech

Identifiers

PMID36576933
PMCPMC9797082
OpenAlexW4313203844

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.