2023, Software, ENG
Zedda E.; Manca M.
Integration of DialogFlow and Google Speech API on a HRI application for Pepper robot. Technologies used: Java, QiSDK, SQL, Google Speech API, DialogFlow API, Azure and OpenAI API CNR Link: https://giteas2i2s.isti.cnr.it/Human_in_Information_Systems_HIIS/DialogFlow_Pepper https://giteas2i2s.isti.cnr.it/Human_in_Information_Systems_HIIS/GoogleSpeechAPI https://gitea-s2i2s.isti.cnr.it/Human_in_Information_Systems_HIIS/ChatGPTAzure
2023, Software, ENG
Zedda E.
An application that autonomously adapts the robot's personality based on the user personality test results, displaying a robot personality that aligns better with the user's traits in a cooking serious game for older adults with cognitive impairments. Technologies used: Java, QiSDK, SQL
2023, Software, ENG
Eleonora Zedda
An Android application designed to evaluate the user's current personality through administering the MINI-IPIP personality test and the TIPI-10 personality test during interactions with the robot (HRI) with a serious game for older adults with MCI. Technologies used: Java, QiSDK, SQL CNR Link: https://giteas2i2s.isti.cnr.it/Human_in_Information_Systems_HIIS/Mini_IPIPPersonalityTest
2023, Software, ENG
Zedda E.
Description: An application designed to enhance cognitive stimulation among older adults by manipulating robot behaviours into a cooking game. The application incorporates a personality module that generates two robot personalities (extravert and introvert) designed and implemented to improve the Human-Robot Interaction (HRI) of older adults with cognitive impairments. Technologies used: Java, QiSDK, SQL Version: 5.0 CNR Link: https://giteas2i2s.isti.cnr.it/Human_in_Information_Systems_HIIS/Personality
2023, Articolo in rivista, ENG
Giorgi, Ioanna; Minutolo, Aniello; Tirotto, Francesca; Hagen, Oksana; Esposito, Massimo; Gianni, Mario; Palomino, Marco; Masala, Giovanni L. L.
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.
2023, Contributo in atti di convegno, ENG
Zedda E.; Manca M.; Paternò F.; Santoro C.
This study aimed to investigate the impact of different personalities in humanoid robots for cognitive training scenarios with older adults with mild cognitive impairment (MCI). In particular, we have designed an application with two opposite personalities based on the Extraversion dimension of the Big Five Factors model. A user test with 16 Italian-speaking participants diagnosed with MCI aged 68+ was performed. The analysis of the data collected suggests that the robot's personality can have an effect on the engagement of such users and also found that participants can discriminate between the two personalities. Overall, the study highlights the importance of designing human-robot interactions considering personality-related aspects when considering MCI older adults.
2022, Software, ENG
Zedda E.; Manca M.
SERENI application delivers serious biographical-based serious games using personal information from older adults' lives through a humanoid robot. It aims to stimulate cognitive functions through play sessions, which should last 15-20 minutes. The biographical app, provides relevant biographical data that are mainly used to customise the games, which thereby will be highly personalised for the older adults. Technologies used: Java, QiSDK, SQL
2022, Software, ENG
Zedda E.; Manca M.
An application implemented a serious coking game with 3 different levels to support cognitive training for older adults with cognitive impairment. Application integrated into Pepper robot to improve the HRI. Technologies used: Java, QiSDK
2022, Progetto, ITA
Matteo Lavit Nicora
Grazie alle continue innovazioni tecnologiche e al costante calo del costo dell'automazione, i dispositivi robotici stanno diventando sempre più comuni non solo all'interno di contesti industriali, ma anche per applicazioni sociali e riabilitative. Numerosi lavori di ricerca sono stati pubblicati negli ultimi anni per quanto riguarda gli aspetti tecnici dell'interazione uomo-robot (HRI), specialmente a livello di sicurezza e produttività. Nonostante ciò, l'esperienza di un utente in interazione con un dispositivo robotico non si esaurisce nella semplice forza scambiata, ma si realizza attraverso una combinazione di vista, tatto e udito e ha importanti risvolti a livello fisiologico, sociale e psicologico. La tendenza a cui stiamo assistendo oggigiorno è un chiaro indizio del fatto che, molto presto, i robot diventeranno parte attiva della nostra vita di tutti i giorni ed è, quindi, di fondamentale importanza capire come questi dispositivi siano percepiti e come il loro comportamento possa essere migliorato per rendere l'interazione sempre più naturale.
2018, Manufatto e relativi progetti, ENG
Matteo Malosio, Alessio Prini, Joao Carlos Dalberto, Roberto Bozzi
This Variable Stiffness Actuator is based on a new invention created over a deeply analysis on the state of art. It is equipped with a series of features considered important and which differentiate it from other developed devices. The core mechanism of the device is able to decouple the control of the torsional stiffness from the control of the equilibrium configuration of a rotating shaft, acting independently on two rotary joints configured in parallel. This allows to realize a joint that can be installed in series between a motor and a load, keeping both motors in parallel without requiring the rotation of electrical components. Furthermore, the particular configuration of the elastic transmission allows to modify the stiffness with a limited energy consumption, contributing to reduce the total power installed on the device and the overall dimensions. Due to its important innovative aspects, it can be applied in different collaborative robotics applications and, in general, can find an effective use in automatic machines able to physically interact with the person or the environment, both within the medical and industrial sectors.
2016, Articolo in rivista, ENG
Lyon, Caroline; Nehaniv, Chrystopher L.; Saunders, Joe; Belpaeme, Tony; Bisio, Ambra; Fischer, Kerstin; Forster, Frank; Lehmann, Hagen; Metta, Giorgio; Mohan, Vishwanathan; Morse, Anthony; Nolfi, Stefano; Nori, Francesco; Rohlfing, Katharina; Sciutti, Alessandra; Tani, Jun; Tuci, Elio; Wrede, Britta; Zeschel, Arne; Cangelosi, Angelo
Co-development of action, conceptualization and social interaction mutually scaffold and support each other within a virtuous feedback cycle in the development of human language in children. Within this framework, the purpose of this article is to bring together diverse but complementary accounts of research methods that jointly contribute to our understanding of cognitive development and in particular, language acquisition in robots. Thus, we include research pertaining to developmental robotics, cognitive science, psychology, linguistics and neuroscience, as well as practical computer science and engineering. The different studies are not at this stage all connected into a cohesive whole; rather, they are presented to illuminate the need for multiple different approaches that complement each other in the pursuit of understanding cognitive development in robots. Extensive experiments involving the humanoid robot iCub are reported, while human learning relevant to developmental robotics has also contributed useful results.