المؤلفون: Guasti L, Gaudio G, Lupi A, D'Avino M, Sala C, Mugellini A, Vulpis V, Felis S, Sarzani R, Vanasia M, Maffioli P, Derosa G

المصدر: Drug Design, Development and Therapy, Vol Volume 11, Pp 2293-2300 (2017)

مصطلحات موضوعية: Ambulatory blood pressure, Canrenone, RAAS, ACE inhibitors, AT1R antagonist, Therapeutics. Pharmacology, RM1-950

الوصف: Luigina Guasti,1,* Giovanni Gaudio,2,* Alessandro Lupi,3 Marinella D’Avino,4 Carla Sala,5,6 Amedeo Mugellini,7 Vito Vulpis,8 Salvatore Felis,9 Riccardo Sarzani,10,11 Massimo Vanasia,12 Pamela Maffioli,7 Giuseppe Derosa7 1Research Center on Dyslipidemia, Internal Medicine 1, University of Insubria, Varese, Italy; 2Internal Medicine Division, Ospedale Angelo Bellini, ASST Valle Olona Somma, Varese, Italy; 3Cardiology Unit, ASL VCO Verbania-Domodossola, Verbania, Italy; 4Unit for the Treatment of Arterial Hypertension, Ospedale Cardarelli, Napoli, Italy; 5Department of Clinical Sciences and Community Health, University of Milan, Milano, Italy; 6Cardiovascular Unit, Fondazione IRCCSS Policlinico, Milano, Italy; 7Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy; 8Unit for the Diagnosis and Treatment of Arterial Hypertension, Department of Internal Medicine, Policlinico di Bari, Bari, Italy; 9Cardiology Unit, Ospedale Garibaldi, Catania, Italy; 10ESH Center of Hypertension, Internal Medicine and Geriatrics, University Politecnica delle Marche, Ancona, Italy; 11IRCCS-INRCA, Ancona, Italy; 12THERABEL GiEnne Pharma, Milano, Italy *These authors contributed equally to this work Background: Blockade of the renin–angiotensin–aldosterone system is a cornerstone in cardiovascular disease prevention and hypertension treatment. The relevance of ambulatory blood pressure monitoring (ABPM) has been widely confirmed for both increasing the accuracy of blood pressure (BP) measurements, particularly in pharmacological trials, and focusing on 24 h BP prognostic parameters. The aim of this study was to assess the effects of canrenone addition on ambulatory BP in uncontrolled hypertensive patients already treated with the highest tolerated dose of angiotensin-converting enzyme (ACE) inhibitors or angiotensin II type 1 receptor (AT1R) antagonists plus hydrochlorothiazide (HCT). Methods: ABPM was performed at baseline and after 3 months of combination therapy in 158 outpatients with stage 1 or 2 hypertension who were randomized to add canrenone (50 or 100 mg) to the pre-existing therapy with ACE inhibitors or AT1R antagonists plus HCT. Twenty-four-hour systolic and diastolic BPs were considered normalized when the values were 10% with respect to diurnal values did not change during combination therapy. Conclusion: Canrenone addition to ACE inhibitors or AT1R antagonists plus HCT was associated with a significant reduction of 24 h BP and to an increased number of patients meeting 24 h ABPM targets in a clinical setting of uncontrolled stage 1 or 2 hypertension. Keywords: ambulatory blood pressure, canrenone, RAAS, ACE inhibitors, AT1R antagonist

وصف الملف: electronic resource

العلاقة: https://www.dovepress.com/ambulatory-blood-pressure-parameters-after-canrenone-addition-to-exist-peer-reviewed-article-DDDTTest; https://doaj.org/toc/1177-8881Test

الوصول الحر: https://doaj.org/article/69f1d186ec134fed987b77df67078c6fTest

المؤلفون: Quentin Meteier, Reńee Favre, Sofia Viola, Marine Capallera, Leonardo Angelini, Elena Mugellini, Andreas Sonderegger

المصدر: Transportation Research Interdisciplinary Perspectives, Vol 26, Iss , Pp 101148- (2024)

مصطلحات موضوعية: Driver state, Driving environment, Sleepiness, Fatigue, Machine learning, Physiological state, Transportation and communications, HE1-9990

الوصف: Conditionally automated vehicles (Level 3 SAE) are emerging on the roads, but long periods without engaging in a non-driving-related task can reduce drivers’ vigilance. This study aims to determine whether driver fatigue can be accurately predicted using physiological signals and machine learning (ML) techniques in such a context. 63 young drivers completed two separate conditional automated drives of 30 min each, in either a rural or a urban area. Half of them had been mildly sleep-deprived the previous night (slept less than six hours). Electrocardiogram (ECG), electrodermal activity (EDA), and respiration were collected, along with subjective measures of sleepiness and affective state. Using ML, sleep deprivation, driving environment, and sleepiness could be predicted from physiological features with an accuracy of 99%, 85%, and 73% respectively. Signal segmentation increased model accuracy, and EDA features were the most predictive. The differences between the results obtained from statistical analyses of sleepiness measures and the accuracy achieved by ML models are discussed. The results of this empirical study indicate that even mild sleep deprivation affects the physiological state of drivers, which can have serious consequences when combined with long periods of inactivity. Car manufacturers and researchers should take this into account when designing intelligent systems capable of providing drivers with appropriate warnings before a critical situation arises.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2590198224001349Test; https://doaj.org/toc/2590-1982Test

الوصول الحر: https://doaj.org/article/33e7375cb2554a368f6b6ea1ec16b2caTest

المؤلفون: Mira El Kamali, Leonardo Angelini, Denis Lalanne, Omar Abou Khaled, Elena Mugellini

المصدر: Frontiers in Computer Science, Vol 5 (2023)

مصطلحات موضوعية: older adults, conversational agents, multimodal interaction, output modes, combination of interfaces, multiple interfaces, Electronic computers. Computer science, QA75.5-76.95

الوصف: IntroductionThe use of multiple interfaces may improve the perception of a stronger relationship between a conversational virtual coach and older adults. The purpose of this paper is to show the effect of output combinations [single-interface (chatbot, tangible coach), multi-interface (assignment, redundant-complementary)] of two distinct conversational agent interfaces (chatbot and tangible coach) on the eCoach-user relationship (closeness, commitment, complementarity) and the older adults' feeling of social presence of the eCoach.MethodsOur study was conducted with two different study settings: an online web survey and a face to face experiment.ResultsOur online study with 59 seniors shows that the output modes in multi-interface redundant-complementary manner significantly improves the eCoach-user relationship and social presence of the eCoach compared to only using single-interfaces outputs. Whereas in our face to face experiment with 15 seniors, significant results were found only in terms of higher social presence of multi-interface redundant complementary manner compared to chatbot only.DiscussionWe also investigated the effect of each study design on our results, using both quantitative and qualitative methods.

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fcomp.2023.1125895/fullTest; https://doaj.org/toc/2624-9898Test

الوصول الحر: https://doaj.org/article/987be2ecebb5413f862d25d98d96b165Test

المؤلفون: Marine Capallera, Quentin Meteier, Emmanuel De Salis, Marino Widmer, Leonardo Angelini, Stefano Carrino, Andreas Sonderegger, Omar Abou Khaled, Elena Mugellini

المصدر: IEEE Access, Vol 11, Pp 5746-5771 (2023)

مصطلحات موضوعية: Automated driving, driver’s state, human-vehicle interaction, machine learning, multimodal interaction, situation awareness, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

الوصف: Advanced driver assistances are becoming increasingly common in commercial cars, not only to assist but also to free drivers from manual driving whenever possible. Soon, drivers should be allowed to engage in non-driving-related tasks. The fact that responsibility for driving is shifting from humans to machines must be considered in the development of these assistances in order to guarantee safety and trust. In this article, we introduce AdVitam (for Advanced Driver-Vehicle Interaction to Make future driving safer), an autonomous system aiming at maintaining driver’s situation awareness and optimizing takeover quality during conditionally automated driving. The information conveyed to drivers is dynamically adapted to achieve these goals, depending on the driving environment and the driver’s physiological state. This system consists of three connected modules. The first module (Driver State) predicts the driver’s state with machine learning and physiological signals as inputs. The second module (Supervision) uses different interfaces (a haptic seat, a personal device, and ambient lights) to maintain the drivers’ situation awareness during the autonomous driving phases. The third module (Intervention) is a machine learning model that chooses the most appropriate combination among haptic, auditory, and visual modalities to request the driver to take over control and thus optimize takeover quality. To evaluate the system and each module independently, a preliminary user study with 35 drivers was conducted in a fixed-base driving simulator. All participants drove in two different environments (rural and urban). In addition, the activation of the Supervision and Intervention modules were manipulated as two between-subject factors. Results show that conveying information on the driving environment status through multimodal interfaces increases drivers’ situation awareness (i.e., better identification of potential problems in the environment) and trust in the automated vehicle. However, the system does not show positive outcomes on takeover quality. Besides, the Driver State module provided consistent predictions with the experimental manipulation. The system proposed in this paper could lead to better acceptance and safety when conditionally automated vehicles will be released by increasing drivers’ trust during phases of automated driving.

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/10016727Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/8a681489b44c40f2b04c158d7292b86dTest

المؤلفون: Guido Travaini, Emma Flutti, Lorenzo Blandi, Roberta Sala, Sarah Songhorian, Palmina Caruso, Giulia Mugellini

المساهمون: Travaini, Guido, Flutti, Emma, Blandi, Lorenzo, Sala, Roberta, Songhorian, Sarah, Caruso, Palmina, Mugellini, Giulia

مصطلحات موضوعية: rules compliance, mandatory laws, COVID-19, pandemic

الوصف: Background and aim: as a reaction to the COVID-19 pandemic, countries all over the world have undertaken wide-scale measures to prevent and limit the spread of the virus. Suggested preventative measures mainly included “lockdown”, social distancing, wearing facemasks, and vaccinations. The success of these measures was widely dependent on the cooperation of citizens. However, people reacted differently to the several types of restrictions and recommendations. Even if the majority followed the rules, others ignored them. This study aims to investigate the reasons for the compliance or violation of the rules developed to fight against the COVID-19 pandemic in Italy. Methods: to answer the research question, the analysis of two different surveys conducted on a representative sample of Italians (N=2000) were conducted and analysed through descriptive statistics. Results: the data collection agreed with published literature. Compliance with rules during emergencies followed diligence and altruistic patterns. Fear of sanctions did not seem to work in relation to rules compliance during emergency situations. The lack of clarity of regulations in terms of complexity or constant changes led to non-compliance even intervening as a neutralization technique. Conclusions: government’s fear-based interventions did not seem to work since Italians tended to adhere to the rules primarily out of respect for legitimate authority. Future research should focus more on the topic of trust in institutions in emergency situations with the aim of highlighting the key points for successful governance, also in terms of rules compliance.

العلاقة: volume:94; issue:S3; firstpage:1; lastpage:13; numberofpages:13; journal:ACTA BIOMEDICA; https://hdl.handle.net/20.500.11768/150436Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85170488726; https://www.mattioli1885journals.com/index.php/actabiomedica/article/view/14431Test

الإتاحة: https://doi.org/20.500.11768/150436Test
https://doi.org/10.23750/abm.v94iS3.14431Test
https://hdl.handle.net/20.500.11768/150436Test
https://www.mattioli1885journals.com/index.php/actabiomedica/article/view/14431Test

المؤلفون: El Kamali M., Angelini L., Caon M., Dulake N., Chamberlain P., Craig C., Standoli C. E., Andreoni G., Abou Khaled O., Mugellini E.

المساهمون: El Kamali, M., Angelini, L., Caon, M., Dulake, N., Chamberlain, P., Craig, C., Standoli, C. E., Andreoni, G., Abou Khaled, O., Mugellini, E.

الوصف: This article describes a tangible interface for an e-coach, co-designed in four countries to meet older adults' needs and expectations. The aim of this device is to coach the user by giving recommendations, personalized tasks and to build empathy through vocal, visual, and physical interaction. Through our co-design process, we collected insights that helped identifying requirements for the physical design, the interaction design and the privacy and data control. In the first phase, we collected users' needs and expectations through several workshops. Requirements were then transformed into three design concepts that were rated and commented by our target users. The final design was implemented and tested in three countries. We discussed the results and the open challenges for the design of physical e-coaches for older adults. To encourage further developments in this field, we released the research outputs of this design process in an open-source repository.

وصف الملف: ELETTRONICO

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000936071700001; volume:39; firstpage:1; lastpage:24; numberofpages:24; journal:INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION; https://hdl.handle.net/11311/1245297Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85148593512

الإتاحة: https://doi.org/10.1080/10447318.2023.2171332Test
https://hdl.handle.net/11311/1245297Test

المؤلفون: Meteier, Quentin, Capallera, Marine, De Salis, Emmanuel, Angelini, Leonardo, Carrino, Stefano, Abou Khaled, Omar, Mugellini, Elena, Sonderegger, Andreas

المصدر: Meteier, Quentin; Capallera, Marine; De Salis, Emmanuel; Angelini, Leonardo; Carrino, Stefano; Abou Khaled, Omar; Mugellini, Elena; Sonderegger, Andreas (April 2023). Effect of Obstacle Type and Cognitive Task on Situation Awareness and Takeover Performance in Conditionally Automated Driving In: IHM '23: 34th International Francophone Conference on Human-Computer Interaction (pp. 1-12). New York, NY, USA: ACM 10.1145/3583961.3583966

مصطلحات موضوعية: BF Psychology, QA75 Electronic computers. Computer science

الوصف: In conditionally automated driving, several factors can affect the driver’s situation awareness and ability to take over control. To better understand the influence of some of these factors, 88 participants spent 20 minutes in a conditionally automated driving simulator. They had to react to four obstacles that varied in danger and movement. Half of the participants were required to engage in a verbal cognitive non-driving-related task. Situation awareness, takeover performance and physiological responses were measured for each situation. The results suggest that obstacle movement influences obstacle danger perception, situation awareness, and response time, while the latter is also influenced by obstacle danger. The cognitive verbal task also had an effect on the takeover response time. These results imply that the driver’s cognitive state and the driving situation (e.g. the movement/danger of entities present around the vehicle) must be considered when conveying information to drivers through in-vehicle interfaces.

وصف الملف: application/pdf

العلاقة: https://arbor.bfh.ch/19281Test/; Meteier, Quentin; Capallera, Marine; De Salis, Emmanuel; Angelini, Leonardo; Carrino, Stefano; Abou Khaled, Omar; Mugellini, Elena; Sonderegger, Andreas (April 2023). Effect of Obstacle Type and Cognitive Task on Situation Awareness and Takeover Performance in Conditionally Automated Driving In: IHM '23: 34th International Francophone Conference on Human-Computer Interaction (pp. 1-12). New York, NY, USA: ACM 10.1145/3583961.3583966

الإتاحة: https://doi.org/10.1145/3583961.3583966Test
https://arbor.bfh.ch/19281/1/Meteier_2023_IHM23_Effect%20of%20Obstacle%20Type%20and%20Cognitive%20Task%20on%20Situation.pdfTest
https://arbor.bfh.ch/19281Test/
https://ihm2023.afihm.orgTest/

المؤلفون: Quentin Meteier, Marine Capallera, Emmanuel de Salis, Leonardo Angelini, Stefano Carrino, Marino Widmer, Omar Abou Khaled, Elena Mugellini, Andreas Sonderegger

المصدر: Data in Brief, Vol 47, Iss , Pp 109027- (2023)

مصطلحات موضوعية: Conditionally automated driving, Driver state, Physiology, Electrocardiogram (ECG), Electrodermal activity (EDA), Respiration, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390

الوصف: This dataset contains data of 346 drivers collected during six experiments conducted in a fixed-base driving simulator. Five studies simulated conditionally automated driving (L3-SAE), and the other one simulated manual driving (L0-SAE). The dataset includes physiological data (electrocardiogram (ECG), electrodermal activity (EDA), and respiration (RESP)), driving and behavioral data (reaction time, steering wheel angle, …), performance data of non-driving-related tasks, and questionnaire responses. Among them, measures from standardized questionnaires were collected, either to control the experimental manipulation of the driver's state, or to measure constructs related to human factors and driving safety (drowsiness, mental workload, affective state, situation awareness, situational trust, user experience).In the provided dataset, some raw data have been processed, notably physiological data from which physiological indicators (or features) have been calculated. The latter can be used as input for machine learning models to predict various states (sleep deprivation, high mental workload, ...) that may be critical for driver safety. Subjective self-reported measures can also be used as ground truth to apply regression techniques. Besides that, statistical analyses can be performed using the dataset, in particular to analyze the situational awareness or the takeover quality of drivers, in different states and different driving scenarios.Overall, this dataset contributes to better understanding and consideration of the driver's state and behavior in conditionally automated driving. In addition, this dataset stimulates and inspires research in the fields of physiological/affective computing and human factors in transportation, and allows companies from the automotive industry to better design adapted human-vehicle interfaces for safe use of automated vehicles on the roads.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2352340923001452Test; https://doaj.org/toc/2352-3409Test

الوصول الحر: https://doaj.org/article/129c38fb128a411ea4872580c5ac7364Test

المؤلفون: Angelini, Leonardo, Couture, Nadine, Khaled, Omar Abou, Mugellini, Elena

مصطلحات موضوعية: Computer Science - Human-Computer Interaction

الوصف: In the Internet of Things era, an increasing number of household devices and everyday objects are able to send to and retrieve information from the Internet, offering innovative services to the user. However, most of these devices provide only smartphone or web interfaces to control the IoT object properties and functions. As a result, generally, the interaction is disconnected from the physical world, decreasing the user experience and increasing the risk of isolating the user in digital bubbles. We argue that tangible interaction can counteract this trend and this paper discusses the potential benefits and the still open challenges of tangible interaction applied to the Internet of Things. To underline this need, we introduce the term Internet of Tangible Things. In the article, after an analysis of current open challenges for Human-Computer Interaction in IoT, we summarize current trends in tangible interaction and extrapolate eight tangible interaction properties that could be exploited for designing novel interactions with IoT objects. Through a systematic literature review of tangible interaction applied to IoT, we show what has been already explored in the systems that pioneered the field and the future explorations that still have to be conducted.
Comment: Suibmitted to MDPI Informatics, Special Issue on Tangible and Embodied Interaction

الوصول الحر: http://arxiv.org/abs/1708.02664Test

المؤلفون: Mugellini, Giulia, Astrologo, Annamaria

المصدر: Altre Modernità; 2023: SPECIAL ISSUE: Effetti del contagio: dominio del reale e del simbolico ; 96-110 ; Altre Modernità; 2023: NUMERO SPECIALE: Effetti del contagio: dominio del reale e del simbolico ; 2035-7680

مصطلحات موضوعية: contagio, contatto, criminalità, Covid-19, diritto penale, criminologia, contagion, contact, crime, criminal law, criminology

الوصف: L’articolo considera i termini contagio e contatto in alcune prospettive del diritto penale e della criminologia. Se nel primo ambito, di regola si utilizza e interpreta il contagio principalmente in relazione all’infiltrazione della criminalità organizzata negli apparati economici e statali, nel secondo, si studiano gli effetti del contatto tra vittime e autori di reato sulla probabilità che un crimine si verifichi, e del contagio comportamentale sulla propensione a delinquere. Data questa premessa, l’articolo si focalizza sugli effetti della mancanza di contagio e contatto, che si sono verificati a seguito delle restrizioni per contenere la pandemia di Covid-19, sulla criminalità. L’analisi della letteratura internazionale identifica le principali ipotesi interpretative che vengono poi testate analizzando i dati sulla criminalità in Canton Ticino. In generale, le dinamiche internazionali si confermano nel cantone svizzero: tra marzo e giugno 2020, la criminalità è diminuita del 43,1% rispetto alla media 2018-2019. Questa differenza viene spiegata principalmente dalla mancanza di contatto tra vittime e autori di reato che porta a meno opportunità criminali. Emerge però anche l’importanza del “time-shift”, cioè della necessità di distinguere tra gli effetti di breve e di lungo periodo sulla criminalità, e del “crime specificity” ovverosia dell’importanza di approfondire le specificità legate a singole fattispecie di reato. ; This paper aims to discuss, mainly in a descriptive way, the topic of contagion and contact from the perspectives of criminal law and criminology. First, the research offers an overview of the use of contagion and contact in the two disciplines. Whereas criminal law uses and interprets the term contagion primarily in relation to the infiltration of organized crime into economic and state apparatuses, criminology studies the effects of contact between victims and perpetrators on the likelihood of a crime occurring, and of behavioural contagion on the propensity to commit crime. Secondly, the ...

وصف الملف: application/pdf

العلاقة: https://riviste.unimi.it/index.php/AMonline/article/view/22139/19691Test; https://riviste.unimi.it/index.php/AMonline/article/view/22139Test

الإتاحة: https://doi.org/10.54103/2035-7680/22139Test
https://riviste.unimi.it/index.php/AMonline/article/view/22139Test