Could Terrorists Derail a Presidential Election?

The article begins by expressing surprise that there is no safeguard for regularly scheduled elections and that if an election would have to be cancelled or postponed it is unknown what would happen. It then discusses what happened to elections during 9/11/2001 and the lack of statutory guidance ensuing from there, and discusses how some states have addressed the problem of an affected election, and questions what would happen to the presidential election in the face of such events. It questions whether Congress should attempt to legislate for such an event and gives a suggestion for what can be done in the event of a failed election on the part of Congress and some guidelines for that action and concludes by stating that Congress must address this issue

Algorithm-aided Information Design: Hybrid Design approach on the edge of associative methodologies in AEC

Dissertação de mestrado em European Master in Building Information ModellingLast three decades have brought colossal progress to design methodologies within the common pursuit toward a seamless fusion between digital and physical worlds and augmenting it with the of computation power and network coverage. For this historically short period, two generations of methodologies and tools have emerged: Additive generation and parametric Associative generation of CAD. Currently, designers worldwide engaged in new forms of design exploration. From this race, two prominent methodologies have developed from Associative Design approach – Object-Oriented Design (OOD) and Algorithm-Aided Design (AAD). The primary research objective is to investigate, examine, and push boundaries between OOD and AAD for new design space determination, where advantages of both design methods are fused to produce a new generation methodology which is called in the present study AID (Algorithm-aided Information Design). The study methodology is structured into two flows. In the first flow, existing CAD methodologies are investigated, and the conceptual framework is extracted based on the state of art analysis, then analysed data is synthesized into the subject proposal. In the second flow, tools and workflows are elaborated and examined on practice to confirm the subject proposal. In compliance, the content of the research consists of two theoretical and practical parts. In the first theoretical part, a literature review is conducted, and assumptions are made to speculate about AID methodology, its tools, possible advantages and drawbacks. Next, case studies are performed according to sequential stages of digital design through the lens of practical AID methodology implementation. Case studies are covering such design aspects as model & documentation generation, design automation, interoperability, manufacturing control, performance analysis and optimization. Ultimately, a set of test projects is developed with the AID methodology applied. After the practical part, research returns to the theory where analytical information is gathered based on the literature review, conceptual framework, and experimental practice reports. In summary, the study synthesizes AID methodology as part of Hybrid Design, which enables creative use of tools and elaborating of agile design systems integrating additive and associative methodologies of Digital Design. In general, the study is based on agile methods and cyclic research development mixed between practice and theory to achieve a comprehensive vision of the subject.Last three decades have brought colossal progress to design methodologies within the common pursuit toward a seamless fusion between digital and physical worlds and augmenting it with the of computation power and network coverage. For this historically short period, two generations of methodologies and tools have emerged: Additive generation and parametric Associative generation of CAD. Currently, designers worldwide engaged in new forms of design exploration. From this race, two prominent methodologies have developed from Associative Design approach – Object-Oriented Design (OOD) and Algorithm-Aided Design (AAD). The primary research objective is to investigate, examine, and push boundaries between OOD and AAD for new design space determination, where advantages of both design methods are fused to produce a new generation methodology which is called in the present study AID (Algorithm-aided Information Design). The study methodology is structured into two flows. In the first flow, existing CAD methodologies are investigated, and the conceptual framework is extracted based on the state of art analysis, then analysed data is synthesized into the subject proposal. In the second flow, tools and workflows are elaborated and examined on practice to confirm the subject proposal. In compliance, the content of the research consists of two theoretical and practical parts. In the first theoretical part, a literature review is conducted, and assumptions are made to speculate about AID methodology, its tools, possible advantages and drawbacks. Next, case studies are performed according to sequential stages of digital design through the lens of practical AID methodology implementation. Case studies are covering such design aspects as model & documentation generation, design automation, interoperability, manufacturing control, performance analysis and optimization. Ultimately, a set of test projects is developed with the AID methodology applied. After the practical part, research returns to the theory where analytical information is gathered based on the literature review, conceptual framework, and experimental practice reports. In summary, the study synthesizes AID methodology as part of Hybrid Design, which enables creative use of tools and elaborating of agile design systems integrating additive and associative methodologies of Digital Design. In general, the study is based on agile methods and cyclic research development mixed between practice and theory to achieve a comprehensive vision of the subject

Improving command selection in smart environments by exploiting spatial constancy

With the a steadily increasing number of digital devices, our environments are becoming increasingly smarter: we can now use our tablets to control our TV, access our recipe database while cooking, and remotely turn lights on and off. Currently, this Human-Environment Interaction (HEI) is limited to in-place interfaces, where people have to walk up to a mounted set of switches and buttons, and navigation-based interaction, where people have to navigate on-screen menus, for example on a smart-phone, tablet, or TV screen. Unfortunately, there are numerous scenarios in which neither of these two interaction paradigms provide fast and convenient access to digital artifacts and system commands. People, for example, might not want to touch an interaction device because their hands are dirty from cooking: they want device-free interaction. Or people might not want to have to look at a screen because it would interrupt their current task: they want system-feedback-free interaction. Currently, there is no interaction paradigm for smart environments that allows people for these kinds of interactions. In my dissertation, I introduce Room-based Interaction to solve this problem of HEI. With room-based interaction, people associate digital artifacts and system commands with real-world objects in the environment and point toward these real-world proxy objects for selecting the associated digital artifact. The design of room-based interaction is informed by a theoretical analysis of navigation- and pointing-based selection techniques, where I investigated the cognitive systems involved in executing a selection. An evaluation of room-based interaction in three user studies and a comparison with existing HEI techniques revealed that room-based interaction solves many shortcomings of existing HEI techniques: the use of real-world proxy objects makes it easy for people to learn the interaction technique and to perform accurate pointing gestures, and it allows for system-feedback-free interaction; the use of the environment as flat input space makes selections fast; the use of mid-air full-arm pointing gestures allows for device-free interaction and increases awareness of other’s interactions with the environment. Overall, I present an alternative selection paradigm for smart environments that is superior to existing techniques in many common HEI-scenarios. This new paradigm can make HEI more user-friendly, broaden the use cases of smart environments, and increase their acceptance for the average user

Improving Multi-Touch Interactions Using Hands as Landmarks

Efficient command selection is just as important for multi-touch devices as it is for traditional interfaces that follow the Windows-Icons-Menus-Pointers (WIMP) model, but rapid selection in touch interfaces can be difficult because these systems often lack the mechanisms that have been used for expert shortcuts in desktop systems (such as keyboards shortcuts). Although interaction techniques based on spatial memory can improve the situation by allowing fast revisitation from memory, the lack of landmarks often makes it hard to remember command locations in a large set. One potential landmark that could be used in touch interfaces, however, is people’s hands and fingers: these provide an external reference frame that is well known and always present when interacting with a touch display. To explore the use of hands as landmarks for improving command selection, we designed hand-centric techniques called HandMark menus. We implemented HandMark menus for two platforms – one version that allows bimanual operation for digital tables and another that uses single-handed serial operation for handheld tablets; in addition, we developed variants for both platforms that support different numbers of commands. We tested the new techniques against standard selection methods including tabbed menus and popup toolbars. The results of the studies show that HandMark menus perform well (in several cases significantly faster than standard methods), and that they support the development of spatial memory. Overall, this thesis demonstrates that people’s intimate knowledge of their hands can be the basis for fast interaction techniques that improve performance and usability of multi-touch systems