Robots are increasingly tested in socially assistive scenarios. Future applications range from dieting, coaching, tutoring to autism therapy. In order to have a successful interaction with an artificial system, these systems need to have an interactional motivation model of how to assist users and encourage them to keep on with the task. In previous work, we have investigated how to build such ...

Abstract. Identifying determinants of tourist destination choice is an important task in the study nature-based tourism. Traditionally, behavior relies on survey data and travel logs, which are labor-intensive time-consuming. Thanks to location-based social networks, more detailed available at a finer grained spatio-temporal scale. This allows for better insights into patterns interactions betw...

Typically, a consent document in the United States is a printed form with blank spaces in which the operative procedure is filled in. The form is signed by the patient, and placed into the medical record. At first glance, it would seem that the patient was told of the operative procedure and gave his or her consent. Yet informed consent, or, more accurately, lack of informed consent, is a frequ...

<p>A physics-informed machine learning model, in the form of a multi-output Gaussian process, is formulated using Euler-Bernoulli beam equation. Given appropriate datasets, model can be used to regress analytical value structure’s bending stiffness, interpolate responses, and make probabilistic inferences on latent physical quantities. The developed applied numerically simulated cantileve...

In this paper, we explore the issue of coordination in a manufacturer-retailer supply chain where the manufacturer is socially responsible and invests in CSR activities. On the other hand, the retailer invests in promotional efforts and uses a periodic review order-up-to policy for replenishing items. First, the decentralized decision-making structure is modeled to calculate the minimum accepta...