Aniello Minutolo

Dr. Aniello Minutolo

Institute for High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Naples, Italy
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2020 in Information Sciences
Verified
Journal Article
Closed access
Massimo EspositoMassimo Esposito
Massimo Esposito
EDEmanuele Damiano
Emanuele Damiano
Aniello MinutoloAniello Minutolo
Aniello Minutolo
GPGiuseppe De Pietro
Giuseppe De Pietro
Hamido FujitaHamido Fujita
Hamido Fujita

1 February 2022 in Computers in Biology and Medicine
Verified
Journal Article
Closed access
Aniello MinutoloAniello Minutolo
Aniello Minutolo
EDEmanuele Damiano
Emanuele Damiano
GPGiuseppe De Pietro
Giuseppe De Pietro
HFHamido Fujita
Hamido Fujita
MEMassimo Esposito
Massimo Esposito

1 April 2012 in International Journal of Human-Computer Studies
Verified
Journal Article
Closed access
Luigi GalloLuigi Gallo
Luigi Gallo
Aniello MinutoloAniello Minutolo
Aniello Minutolo

1 March 2010 in Computers in Biology and Medicine
Verified
Journal Article
Closed access
Luigi GalloLuigi Gallo
Luigi Gallo
Aniello MinutoloAniello Minutolo
Aniello Minutolo
Giuseppe De PietroGiuseppe De Pietro
Giuseppe De Pietro

19 October 2023 in Robotics and Autonomous Systems
Verified
Journal Article
Open access
Umberto ManiscalcoUmberto Maniscalco
Umberto Maniscalco
Aniello MinutoloAniello Minutolo
Aniello Minutolo
PSPietro Storniolo
Pietro Storniolo
Massimo EspositoMassimo Esposito
Massimo Esposito

8 June 2023 in International Journal of Social Robotics
Verified
Journal Article
Open access
PDF file
IGIoanna Giorgi
Ioanna Giorgi
Aniello MinutoloAniello Minutolo
Aniello Minutolo
FTFrancesca Tirotto
Francesca Tirotto
OHOksana Hagen
Oksana Hagen
Massimo EspositoMassimo Esposito
Massimo Esposito
Giovanni Luca Christian MasalaGiovanni Luca Christian Masala
Giovanni Luca Christian Masala
Artificial intelligence and robotic solutions are seeing rapid development for use across multiple occupations and sectors, including health and social care. As robots grow more prominent in our work and home environments, whether people would favour them in receiving useful advice becomes a pressing question. In the context of human–robot interaction (HRI), little is known about people’s advice-taking behaviour and trust in the advice of robots. To this aim, we conducted an experimental study with older adults to measure their trust and compliance with robot-based advice in health-related situations. In our experiment, older adults were instructed by a fictional human dispenser to ask a humanoid robot for advice on certain vitamins and over-the-counter supplements supplied by the dispenser. In the first experimented condition, the robot would give only information-type advice, i.e., neutral informative advice on the supplements given by the human. In the second condition, the robot would give recommendation-type advice, i.e., advice in favour of more supplements than those suggested initially by the human. We measured the trust of the participants in the type of robot-based advice, anticipating that they would be more trusting of information-type advice. Moreover, we measured the compliance with the advice, for participants who received robot-based recommendations, and a closer proxy of the actual use of robot health advisers in home environments or facilities in the foreseeable future. Our findings indicated that older adults continued to trust the robot regardless of the type of advice received, highlighting a type of protective role of robot-based recommendations on their trust. We also found that higher trust in the robot resulted in higher compliance with its advice. The results underpinned the likeliness of older adults welcoming a robot at their homes or health facilities.