Evidence map›Paper›PMID 39837932›Full record

ArticleScientific reports2025

Unlocking practical wisdom through the inner voice of robots.

Arianna Pipitone, Irene Seidita, John P Sullins, Antonio Chella

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Arianna PipitoneDepartment of Humanities, University of Palermo, Building 12, Palermo, 90140, Italy. arianna.pipitone@unipa.it.
Irene SeiditaDepartment of Engineering, University of Palermo, Building 6, Palermo, 90140, Italy.
John P SullinsDepartment of Philosophy, Sonoma State University, Nichols Hall 364 1801 E Cotati Ave. Rohnert Park, California, 94928, United States.
Antonio ChellaDepartment of Engineering, University of Palermo, Building 6, Palermo, 90140, Italy.

Funding

European Commission (EC) ERDF or ESF, PON Research and Innovation 2014-2020, Ministerial Decree 1062/2021.
6 · The paper itself

Abstract

As Artificial Intelligence and Robotics evolve, the ethical implications of autonomous systems are becoming increasingly paramount. This article explores the role of a robot's inner speech in enhancing human phronesis - the capacity for making ethical and contextually appropriate decisions. Phronesis is a complex human trait based on experience, personality, and values, and is crucial for decisions affecting others' well-being. While artificial systems (i.e., robots) may not fully replicate human practical wisdom, they can support humans by stimulating reflection and helping in situations requiring careful consideration. This support can be more impactful if the robot has the ability for inner speech. The article examines whether a robot engaging in internal dialogue can help develop phronesis in people interacting with it, especially in contexts where caring of people with special needs is crucial. A group of participants was involved in a virtual game, where they had to care for a suffering person alongside a robot. Their decisions, in terms of task resolution and ethical considerations, allowed to assess if the robot's inner speech increased participants' awareness of the suffering person's needs. Preliminary results are promising, highlighting the potential of thinking robots to assist in making ethical decisions.

Indexed as

Artificial IntelligenceDecision MakingRoboticsAdultFemaleHumansMale

Identifiers

PMID39837932
PMCPMC11751327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.