Robots are expected to become present in society in increasing numbers, yet few studies in human-robot interaction (HRI) go beyond one-to-one interaction to examine how emotions, attitudes, and stereotypes expressed toward groups of robots differ from those expressed toward individuals. Research from social psychology indicates that people interact differently with individuals than with groups. We therefore hypothesize that group effects might similarly occur when people face multiple robots. Further, group effects might vary for robots of different types. In this exploratory study, we used videos to expose participants in a between-subjects experiment to robots varying in Number (Single or Group) and Type (anthropomorphic, zoomorphic, or mechanomorphic). We then measured participants’ general attitudes, emotions, and stereotypes toward robots with a combination of measures from HRI (e.g., Godspeed Questionnaire, NARS) and social psychology (e.g., Big Five, Social Threat, Emotions). Results suggest that Number and Type of observed robots had an interaction effect on responses toward robots in general, leading to more positive responses for groups for some robot types, but more negative responses for others. Categories and Subject Descriptors H.1.2 [Models and Principles]: User/Machine Systems - human factors. J.4 [Social and Behavioral Sciences]: Psychology. I.2.9 [Artificial Intelligence] Robotics. General Terms Experimentation, Human Factors. General Terms Experimentation, Human Factors.

This video presents the interactions between MiRAE, an interactive robotic face, and visitors to an art exhibition at which it was displayed. The robot operated eight hours a day, six days a week, for three weeks in Spring 2014 and interacted with over 700 people across 300 interactions. The robot was fully autonomous and researchers were not present on site during the exhibit, so people interacted in a free-form manner, both individually and in groups. During the exhibit, video recordings were taken of people's responses to the robot. This video depicts a series of resulting interactions, with MiRAE's interpretation of the events.

Potato in Brazil is often cultivated after corn (Zea mays) using the conventional tillage system, which achieve about 20 cm depth, not deep enough to remove physical impairments below the prepared layer. Thus, a deep tillage system associated to succession with grass types is postulated as an alternative to promote the adequate development of the potato crop. This study, with the cultivar Atlantic, aimed to compare the conventional tillage (PC) used in potato, in succession to corn, to a deep tillage system (PP), in succession with three different grass types (corn, Brachiaria brizantha cv. Marandu and Panicum maximum cv. Tanzânia) on the growth dynamics of potato. The dry matter production (MS, t/ha) of the aboveground part of the grasses was different in descending order: Tanzânia PP (26.56) > Marandu PP (19.94) > Corn PP (5.57) = Corn PC (5.72). With respect to potato development, Corn PP (5.56 and 85.51) was higher than Corn PC (4.34 and 64.83 g/plant MS) for the production of roots and leaves respectively, no statistical difference being found among the other treatments. For the production of stalks, Corn PC (5.53 g/plant MS) was the lowest and for the production of tubers, Marandu PP and Corn PP (152.16 and 149.01 g/plant MS) were higher than Corn PC (115.73 g/plant MS). In summary, the deep tillage system provided better development of potato and the effects varied depending on the grass type used for succession.

We define a set of pseudo-observables characterizing the properties of Higgs decays in generic extensions of the Standard Model with no new particles below the Higgs mass. The pseudo-observables can be determined from experimental data, providing a systematic generalization of the “κ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\kappa $$\end{document}-framework” so far adopted by the LHC experiments. The pseudo-observables are defined from on-shell decay amplitudes, allow for a systematic inclusion of higher-order QED and QCD corrections, and can be computed in any Effective Field Theory (EFT) approach to Higgs physics. We analyze the reduction of the number of independent pseudo-observables following from the hypotheses of lepton universality, CP invariance, custodial symmetry, and linearly realized electroweak symmetry breaking. We outline the importance of kinematical studies of h→4ℓ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$h\rightarrow 4\ell $$\end{document} decays for the extraction of such parameters and present their predictions in the linear EFT framework.