Multimodal User Feedback During Adaptive Robot-Human Presentations

Feedback is an essential part of all communication, and agents communicating with humans must be able to both give and receive feedback in order to ensure mutual understanding. In this paper, we analyse multimodal feedback given by humans towards a robot that is presenting a piece of art in a shared environment, similar to a museum setting. The data analysed contains both video and audio recordings of 28 participants, and the data has been richly annotated both in terms of multimodal cues (speech, gaze, head gestures, facial expressions, and body pose), as well as the polarity of any feedback (negative, positive, or neutral). We train statistical and machine learning models on the dataset, and find that random forest models and multinomial regression models perform well on predicting the polarity of the participants' reactions. An analysis of the different modalities shows that most information is found in the participants' speech and head gestures, while much less information is found in their facial expressions, body pose and gaze. An analysis of the timing of the feedback shows that most feedback is given when the robot makes pauses (and thereby invites feedback), but that the more exact timing of the feedback does not affect its meaning.

Determinants of Skill Levels of Farm Youth with regard to Agripreneurship: A Multinomial Regression Approach

This study investigated various determinants of the differential level of skill as perceivedby farm youth engaged in agripreneurship. The existing agripreneurial skill levels weredelineated by developing a composite index constituting of 5 skill dimensions. Purposivesampling was adopted to select the rural youth belonging to farming background andinvolved in agripreneurship for higher income in five districts of Odisha representing fivedifferent agro-climatic zones. A total of 250 farm youth was sampled from the selected 10blocks. The findings of the study revealed that, annual income from primary occupation,agripreneurial training, social media exposure and agripreneurship experience havesignificantly affected the existing level of skill possessed by farm youth with regard toagripreneurship. The findings affirm the need for extension personnel to understand theexisting skill level, capacities, abilities of farm youth along with the factors determiningthem in order to create awareness and build capacities required for agripreneurship.

Factors associated with vulnerability and fragility in the elderly: a cross-sectional study

ABSTRACT Objectives: to assess factors associated with vulnerability and fragility in the elderly. Methods: crosssectional study with 384 elderly people in Fortaleza, Ceará. The Vulnerable Elders Survey and Clinical-Functional Vulnerability Index - 20 were used. Chi-square and Fisher’s exact tests were used for associations. In the analysis of the combined influence of risk factors, the stepwise logistic regression and multinomial regression methods were adopted. Results: 251 (65.4%) non-vulnerable and 133 (34.6%) vulnerable elders. From the vulnerable elders analyzed, 42 (30.9%) are at high risk for frailty. Factors associated with vulnerability: age, gender, presence of comorbidities, hypertension, diabetes, osteoporosis and use of polypharmacy. There is a 30% increase in the chance of vulnerability for each additional drug. Physical activity reduces the chance of vulnerability by 60%. Factors associated with frailty: educational level; self-perception of health; comorbidities; polypharmacy. Conclusions: it is important to pay attention to the presence of arterial hypertension, osteoporosis, polypharmacy, and encourage the practice of physical activity.

Health impact of work stressors and psychosocial perceptions among French hospital workers during the COVID-19 outbreak: a cross-sectional survey

ObjectiveTo compare global health, mental health impact of work stressors and psychosocial perception of healthcare workers (HCWs) and non-HCWs in a hospital after the first peak of the COVID-19 outbreak in France.MethodsA validated version of the SATIN (Santé Au Travail Inrs université Nancy 2)questionnaire with adapted scoring was used to collect data on health and impact of work stressors. This questionnaire was sent to all workers at a hospital in July 2020 and was self-administered online. In a multinomial regression model, we included HCW status, age, gender and front-line worker status as covariates.ResultsData from a total of 1405 participants were included. We found that being an HCW, male and front-line worker was a risk factor for negative perception of work demand (OR 7.35, 95% CI 4.2 to 11.47; OR 2.55, 95% CI 1.11 to 5.89; OR 1.78, 95% CI 1.04 to 3.06). Being an HCW was a predictive factor for stress (OR 1.47, 95% CI 1.04 to 2.08), poor global health (OR 1.71, 95% CI 1.14 to 2.55) and negative perception of work activity environment (OR 1.9, 95% CI 1.3 to 2.8).ConclusionWe have shown that all HCWs suffered from some health impact shortly after the first peak of the COVID-19 outbreak. We underline some stressors with high impact, including work demand, work abilities and organisational context, and emphasise the need for risk management.

Gender, fraud opportunity, and rationalisation

Framed by opportunity and gender theories, this study examines whether men and women who occupy similar organisational positions differ in the types of fraud committed and their rationalisations. Based on 261 published legal cases of convicted fraudsters in New Zealand, our results show that fraudster's position and rationalisation are important fraud predictors. Our multinomial regression results show that there is a significant difference in the fraud committed in a similar position. There is a relationship between female gambling and embezzlement fraud. A large percentage of fraudsters of both genders offered no rationalisation; those who did, claimed they were victims of circumstances (denial of responsibility) and morally justified their offending. The morally justified rationalisation was associated with lifestyles and pleasing others. Moreover, two rationalisation categories —appeal to higher loyalties and condemning the condemners—are significant in predicting the likelihood of obtaining by deception and embezzlement fraud in the New Zealand context. We also identify two distinct patterns of fraud offending: instrumental-opportunist and pathological-opportunist.

AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological Workflows

(1) To explore the potential impact of an AI dual-energy CT (DECT) prototype on decision making and workflows by investigating its capabilities to differentiate COVID-19 from immunotherapy-related pneumonitis. (2) Methods: From 3 April 2020 to 12 February 2021, DECT from biometrically matching patients with COVID-19, pneumonitis, and inconspicuous findings were selected from our clinical routine. Three blinded readers independently scored each pulmonary lobe analogous to CO-RADS. Inter-rater agreement was determined with an intraclass correlation coefficient (ICC). Averaged perfusion metrics per lobe (iodine uptake in mg, volume without vessels in ml, iodine concentration in mg/mL) were extracted using manual segmentation and an AI DECT prototype. A generalized linear mixed model was used to investigate metric validity and potential distinctions at equal CO-RADS scores. Multinomial regression measured the contribution “Reader”, “CO-RADS score”, and “perfusion metrics” to diagnosis. The time to diagnosis was measured for manual vs. AI segmentation. (3) Results: We included 105 patients (62 ± 13 years, mean BMI 27 ± 2). There were no significant differences between manually and AI-extracted perfusion metrics (p = 0.999). Regardless of the CO-RADS score, iodine uptake and concentration per lobe were significantly higher in COVID-19 than in pneumonitis (p < 0.001). In regression, iodine uptake had a greater contribution to diagnosis than CO-RADS scoring (Odds Ratio (OR) = 1.82 [95%CI 1.10–2.99] vs. OR = 0.20 [95%CI 0.14–0.29]). The AI prototype extracted the relevant perfusion metrics significantly faster than radiologists (10 ± 1 vs. 15 ± 2 min, p < 0.001). (4) Conclusions: The investigated AI prototype positively impacts decision making and workflows by extracting perfusion metrics that differentiate COVID-19 from visually similar pneumonitis significantly faster than radiologists.

Marriage Intentions Among Cohabiters in Lithuania

Living together in one household without being married in modern society is one of the defining features characterizing the transformations of the modern family, mentioned alongside late-age marriage, late-age childbearing, or frequent divorces. Marriage is still a major life transformation, but the pressure to marry today is lighter than ever before and many young couples in Europe start family life from living together in one household and not being married. However, cohabitation has not a universal meaning and role in family formation process and couples cohabit for different reasons and motives. Existing research proves, that union formation pattern depends on socioeconomical and sociodemographic characteristics, it varies by country and changes by time. In the research literature, cohabitation diffusion process is mainly based on the two arguments: cultural value changes which leads to “less marriage” and economic restrains which leads to postponed marriage until economic stability. The aim of this article is to investigate the intentions of cohabitors to marry and the factors modelling these intentions in Lithuania. The empirical analysis is based on the current Family and Inequality Survey (2019) data set about 1970-1984 birth cohort who lived in an extramarital partnership at the time of the research. The data consists rich information on the partnership and fertility, but also social and economic standing. Analysis of the data shows that, most of the cohabiting individuals in the analyzed cohort in Lithuania still undecided about marriage and could not name their intentions in the future. Descriptive statistics suggests that more man than women plan to marry their partner in the future. In addition, cohabitors with the lowest education level do not intend to marry their partner more than any another education level group. The multinomial regression results suggest that factors predicting marriage in the future are sex, partnership satisfaction and education. That leads to assume that in Lithuania cohabitation is only a prelude to marriage and individuals satisfied with the quality of their relationship intends to marry rather than continuing cohabitation as an alternative to marriage. Cohabitation can be chosen as a prelude to marriage to check the strength of a relationship and to accumulate economic and social resources. On another hand, having one child has a negative effect on the marriage intentions among cohabitors.

Sex-Specific Differences in the Association Between Race/Ethnicity and NAFLD Among US Population

Non-alcoholic fatty liver disease (NAFLD) is spreading worldwide, with a racial/ethnic disparity. We examined the gender role in the racial/ethnic difference in NAFLD in the US population. We analyzed data for 3,292 individuals ≥18 years old from NHANES 2017–2018, a representative sample of the non-institutionalized adult population in the US. Exclusions were subjects with elevated transferrin level, chronic hepatitis B or C, excessive alcohol use, or prescription medications that might cause hepatic steatosis. NAFLD was diagnosed by FibroScan® using controlled attenuation parameter (CAP) values: S0 &lt;238, S1 = 238–259, S2 = 260–290, S3 &gt;290. Data were analyzed using Chi square and multinomial regression. The overall prevalence of NAFLD was 47.9% [S2 = 16.1%, and S3 = 31.8%]. The prevalence of S3 was highest among Mexican Americans (46%), lowest among Blacks (22.7%), 29.9% in other Hispanics and 32.1% in Whites (p &lt; 0.05). It was higher among Mexican American males (54.1%) compared to Mexican American females (37.7%) (p &lt; 0.05). In the adjusted model, Mexican Americans were two times more likely than Whites to have S2 and S3 (p &lt; 0.05). Only male Mexican Americans had higher odds of S2 and S3 relative to male White (p &lt; 0.05). Males had higher odds of S3 relative to non-menopausal females (p &lt; 0.05). There was no difference in the odds of S2 or S3 NAFLD among the menopausal females with or without hormone therapy relative to non-menopausal females (p &gt; 0.05). While Mexican Americans had the highest prevalence of severe NAFLD relative to the other racial/ethnic groups, only male Mexican Americans, but not females, had higher likelihood of both moderate and severe NAFLD relative to Whites. Interventions that specifically target Mexican American males are needed to increase awareness about NAFLD and its prevention.

Effects of spousal migration on access to healthcare for women left behind: A cross-sectional follow-up study

Background Women left behind by migration represent a unique and growing population yet remain understudied as key players in the context of migration and development. Using a unique longitudinal survey of life in Bangladesh, the Matlab Health and Socioeconomic Surveys, we examined the role of spousal migration in healthcare utilization for women. The objective of this study was to assess realized access to care (do women actually get healthcare when it is needed) and consider specific macrostructural, predisposing, and resource barriers to care that are related to migration. Methods and findings In a sample of 3,187 currently married women, we estimated multivariate logistic and multinomial regression models controlling for a wide range of baseline sociodemographic factors measured as far back as 1982. Our analyses also controlled for selection effects and explored two mechanisms through which spousal migration can affect healthcare utilization for women, remittances and frequent contact with spouses. We found that women with migrant spouses were approximately half as likely to lack needed healthcare compared to women whose spouses remained in Bangladesh (predicted probability of not getting needed healthcare 11.7% vs. 21.8%, p<0.001). The improvements in access (logistic regression coefficient for lacking care for left-behind women -0.761 p<0.01) primarily occurred through a reduction in financial barriers to care for women whose spouses were abroad. Conclusions Wives of international migrants showed significantly better access to healthcare even when accounting for selection into a migrant family. While the overall story is one of positive migration effects on healthcare access due to reductions in financial barriers to care, results also showed an increase in family-related barriers such as not being permitted to get care by a family member or travel alone to a facility, indicating that some of the benefits of migration for women left behind may be diluted by gendered family structures.