Service robotics: do you know your new companion? Framing an interdisciplinary technology assessment

Service-Robotic—mainly defined as “non-industrial robotics”—is identified as the next economical success story to be expected after robots have been ubiquitously implemented into industrial production lines. Under the heading of service-robotic, we found a widespread area of applications reaching from robotics in agriculture and in the public transportation system to service robots applied in private homes. We propose for our interdisciplinary perspective of technology assessment to take the human user/worker as common focus. In some cases, the user/worker is the effective subject acting by means of and in cooperation with a service robot; in other cases, the user/worker might become a pure object of the respective robotic system, for example, as a patient in a hospital. In this paper, we present a comprehensive interdisciplinary framework, which allows us to scrutinize some of the most relevant applications of service robotics; we propose to combine technical, economical, legal, philosophical/ethical, and psychological perspectives in order to design a thorough and comprehensive expert-based technology assessment. This allows us to understand the potentials as well as the limits and even the threats connected with the ongoing and the planned implementation of service robots into human lifeworld—particularly of those technical systems displaying increasing grades of autonomy.     

Asymptotic Inference on Cointegrating Rank in Partial Systems

The likelihood ratio test for cointegrating rank is analyzed for partial (or conditional) systems in the vector autoregressive error-correction model. Under the assumption of weak exogeneity for the cointegrating parameters, the asymptotic distributions are given and tables of critical values are provided. A discussion is given of some of the assumptions of the model, why they are needed, and how they are tested.     

Display rule behavior and understanding in preschool children

Display rule behavior and understanding were compared in 72 4- to 6-year-old boys and girls. In Study 1, children listened to stories in which the protagonist was in a positive or in a negative mood. The motivation to hide his or her emotional state was either prosocial or self-centered. Stories with no discrepancy between feeling and expression were included as a control condition. Subjects were asked to identify the protagonist's real feelings and facial expression. Older children were more accurate than younger ones in recognizing that real and apparent emotions did not coincide in the self-centered and prosocial stories. Girls produced more correct answers than boys in the prosocial condition. In Study 2, children were examined in a situation in which they were expected to hide their disappointment about an unattractive gift. They were either observed (social situation) or not observed (nonsocial situation) by the experimenter when receiving the gift. Irrespective of age, preschoolers regulated their nonverbal behavior appropriately in the social situation. The comparison of both data sets revealed that even younger preschoolers follow display rules in their behavior before fully grasping the distinction between real and apparent emotions.This article is based on a portion of the author's doctoral dissertation. It is dedicated to the author's supervisor, Klaus Schneider, who died in January 1994. The author wishes to thank her second supervisor, Carolyn Saarni, for her many helpful suggestions. Thanks are extended to the children and teachers who participated in this research. Gratitude is also expressed to Monika Rüth for her assistance in data collection and coding.Portions of these data were presented at the 60th meeting of the Society for Research in Child Development, New Orleans, March 1993.     

Empirical likelihood tests for two‐sample problems via nonparametric density estimation

The authors study the problem of testing whether two populations have the same law by comparing kernel estimators of the two density functions. The proposed test statistic is based on a local empirical likelihood approach. They obtain the asymptotic distribution of the test statistic and propose a bootstrap approximation to calibrate the test. A simulation study is carried out in which the proposed method is compared with two competitors, and a procedure to select the bandwidth parameter is studied. The proposed test can be extended to more than two samples and to multivariate distributions.     

Integrating qualitative and quantitative methods in survey research on aging: An assessment

The benefits of triangulation have gained widespread acceptance and several notable studies have taken a combined-methods approach. However, to date there have been few analyses of attempts to extend survey research to include a qualitative component. This paper reports on what is essentially a survey research design in which three types of interviewing are triangulated: close-ended questions in a structured interview; open-ended questions embedded in the interview; and follow-up conversational interviews employing open-ended questions. This combined-methods approach is assessed in relation to elaboration of answers, interpretation and context, discovery in the field, and divergence. The author concludes that each source of data, as well as the divergence in findings among them, makes a valuable contribution to the research process.     

Women at work in workplaces designed for men: Anthropometry and ergonomics

This article considers one of the sources of stress faced by modern working women: that of having to work in environments largely designed for men. It outlines how this problem has arisen, and examines the different ways in which it can be overcome, pointing up some of the main ergonomic issues that should be addressed in the design of work environments and facilities.     

Remove unwanted variation retrieves unknown experimental designs

Remove unwanted variation (RUV) is an estimation and normalization system in which the underlying correlation structure of a multivariate dataset is estimated from negative control measurements, typically gene expression values, which are assumed to stay constant across experimental conditions. In this paper we derive the weight matrix which is estimated and incorporated into the generalized least squares estimates of RUV-inverse, and show that this weight matrix estimates the average covariance matrix across negative control measurements. RUV-inverse can thus be viewed as an estimation method adjusting for an unknown experimental design. We show that for a balanced incomplete block design (BIBD), RUV-inverse recovers intra- and interblock estimates of the relevant parameters and combines them as a weighted sum just like the best linear unbiased estimator (BLUE), except that the weights are globally estimated from the negative control measurements instead of being individually optimized to each measurement as in the classical, single measurement BIBD BLUE.     

Do public pensions matter for health and wellbeing among retired persons? Basic and income security pensions across 13 Western European countries

Esser I, Palme J. Do public pensions matter for health and wellbeing among retired persons? Basic and income security pensions across 13 Western European countries Int J Soc Welfare 2010: ??: ??–??© 2010 The Author(s), Journal compilation © 2010 Blackwell Publishing Ltd and International Journal of Social Welfare. Mortality rates suggest that elderly people in the advanced welfare democracies have experienced dramatically improved health over the past decades. This study examined the importance of public pensions for self‐reported health and wellbeing among retired persons in 13 Organisation for Economic Cooperation and Development countries in 2002–2005. New public pension data make it possible to distinguish between two qualities of pension systems: ‘basic security’ for those who have no or a short work history, and ‘income security’ for those with a more extensive contribution record. For enhanced cross‐national comparison, relative measures of ill‐health and wellbeing were constructed to account for cultural bias in responses to survey questions and heterogeneity among countries in the general level of population health. Overall, better health is found in countries with more generous pensions, although the results are gendered; for women's health, high basic security of the pension system appears to be particularly important. Women's wellbeing also tends to be more dependent on the quality of basic security.     

Smoothed empirical likelihood confidence intervals for the relative distribution with left‐truncated and right‐censored data

The study of differences among groups is an interesting statistical topic in many applied fields. It is very common in this context to have data that are subject to mechanisms of loss of information, such as censoring and truncation. In the setting of a two‐sample problem with data subject to left truncation and right censoring, we develop an empirical likelihood method to do inference for the relative distribution. We obtain a nonparametric generalization of Wilks' theorem and construct nonparametric pointwise confidence intervals for the relative distribution. Finally, we analyse the coverage probability and length of these confidence intervals through a simulation study and illustrate their use with a real data set on gastric cancer. The Canadian Journal of Statistics 38: 453–473; 2010 © 2010 Statistical Society of Canada     

Risk attitudes in a social context

Many experiments have demonstrated that when evaluating payoffs, people take not only their own payoffs into account, but also the payoffs of others in their social environment. Most of this evidence is found in settings where payoffs are riskless. It is plausible that if people care about the payoffs of others, they do so not only in a riskless context, but also in a risky one. This suggests that an individual’s decision making under risk depends on the risks others in his or her environment face. This paper is the first to test whether individuals’ risk attitudes are affected by the risks others face. The results show that risk attitudes appear to be less affected by others’ risks than expected, even though the same subjects do show concerns for inequality in a riskless setting. Interestingly, we find that people prefer risks to be independent across individuals in society rather than correlated.