Symmetric and asymmetric action integration during cooperative object manipulation in virtual environments

Cooperation between multiple users in a virtual environment (VE) can take place at one of three levels. These are defined as where users can perceive each other (Level 1), individually change the scene (Level 2), or simultaneously act on and manipulate the same object (Level 3). Despite representing the highest level of cooperation, multi-user object manipulation has rarely been studied. This paper describes a behavioral experiment in which the piano movers' problem (maneuvering a large object through a restricted space) was used to investigate object manipulation by pairs of participants in a VE. Participants' interactions with the object were integrated together either symmetrically or asymmetrically. The former only allowed the common component of participants' actions to take place, but the latter used the mean. Symmetric action integration was superior for sections of the task when both participants had to perform similar actions, but if participants had to move in different ways (e.g., one maneuvering themselves through a narrow opening while the other traveled down a wide corridor) then asymmetric integration was superior. With both forms of integration, the extent to which participants coordinated their actions was poor and this led to a substantial cooperation overhead (the reduction in performance caused by having to cooperate with another person)

Coalition Formation and Combinatorial Auctions; Applications to Self-organization and Self-management in Utility Computing

In this paper we propose a two-stage protocol for resource management in a hierarchically organized cloud. The first stage exploits spatial locality for the formation of coalitions of supply agents; the second stage, a combinatorial auction, is based on a modified proxy-based clock algorithm and has two phases, a clock phase and a proxy phase. The clock phase supports price discovery; in the second phase a proxy conducts multiple rounds of a combinatorial auction for the package of services requested by each client. The protocol strikes a balance between low-cost services for cloud clients and a decent profit for the service providers. We also report the results of an empirical investigation of the combinatorial auction stage of the protocol.Comment: 14 page

America's Next Manufacturing Workforce: Promising Practices in Education and Skills Building

The promising practices presented in this report demonstrate some of the most encouraging approaches for education and skill building of America’s new manufacturing workforce. These practices have been selected by a panel of experts from business, government, and education who serve on the MForesight Education and Workforce Development Working Group (EWD). This report summarizes a sampling of replicable and scalable promising practices being pursued to ensure that America builds an educated, skilled, and ready workforce. MForesight has not endorsed any particular product or method in presenting these promising practices, and is pleased to invite learning institutions, professional organizations, and manufacturers to submit descriptions of additional programs and initiatives serving similar purposes. In this way, MForesight hopes to build a community of practitioners and learners to help build an educated, skilled, and ready advanced manufacturing workforce. Concurrently, the EWD will continue its work to translate the key characteristics of these promising practices into policy and investment guidelines for government, industry, and educational enterprises that will support efforts to bring such practices to scale.National Science Foundation, Grant No. 1552534https://deepblue.lib.umich.edu/bitstream/2027.42/145154/1/WorkforceReport_Final.pd