For computer-automated design systems to scale to complex designs they must be able to produce designs that exhibit the characteristics of modularity, regularity and hierarchy -- characteristics that are found both in man-made and natural designs. Here we claim that these characteristics are enabled by implementing the attributes of combination, control-flow and abstraction in the representation.To support this claim we use an evolutionary algorithm to evolve solutions to different sizes of a table design problem using five different representations, each with different combinations of modularity, regularity and hierarchy enabled and show that the best performance happens when all three of these attributes are enabled.We also define metrics for modularity, regularity and hierarchy in design encodings and demonstrate that high fitness values are achieved with high values of modularity, regularity and hierarchy and that there is a positive correlation between increases in fitness and increases in the measured values of modularity, regularity and hierarchy.https://dl.acm.org/ft_gateway.cfm?id=1068297&dwn=1
A healthy diet lowers the risk of developing diseases like diabetes, obesity and different types of cancers and cardiovascular conditions. Persuasive systems have already shown promise in changing user's nutrition through the strategy of monitoring and retrospectively visualizing (bad) eating behavior. In contrast emerged the idea of systems proactively offering help before such behavior even occurs, i.e. before a food choice has been made. Recent advances within the sensor-enrichment of smartphones and wearable technologies have made it possible to develop new behavior change intervention techniques, such as Just-In-Time Adaptive Interventions (JITAI). Within this work, we discuss challenges towards technology-supported, completely automated JITAIs to support healthy food choices. We derive the challenges based on existing literature, and discuss future research opportunities that would benefit users towards achieving a healthier eating behavior.https://dl.acm.org/ft_gateway.cfm?id=3132648&dwn=1
Dynamic algorithms are used to compute a property of some data while the data undergoes changes over time. Many dynamic algorithms have been proposed but nearly all are sequential. In this paper, we present our ongoing work on designing a parallel algorithm for the dynamic trees problem, which requires computing a property of a forest as the forest undergoes changes. Our algorithm allows insertion and/or deletion of both vertices and edges anywhere in the input and performs updates in parallel. We obtain our algorithm by applying a dynamization technique called self-adjusting computation to the classic algorithm of Miller and Reif for tree contraction.https://dl.acm.org/ft_gateway.cfm?id=3087595&dwn=1
We are very pleased that we can present to you an exciting program for ACM TVX 2015, which has been put together based on many submissions from all around the globe.
As the leading international conference for presentation and discussion of research into interactive experiences for online video and TV, the conference brings together international researchers and practitioners from a wide range of disciplines, ranging from human-computer interaction, multimedia engineering and design to media studies, media psychology and sociology, to present and discuss the latest insights in the field. ACM TVX2015 presents research on content production, systems & architectures, interaction technologies & techniques, experience design & evaluation, media studies, empirical methods, data science, business models & marketing and innovation & visions.
The call for papers attracted submissions from Asia, Canada, Europe, the United States and South America. Fifty full and short papers were submitted and subjected to a thorough double-blind review process. Each paper was assigned to an Associate Chair (AC) who recruited at least three reviewers per paper and wrote a meta-review summarizing the main points of each review. The review process included a rebuttal period, giving authors the chance to respond to reviewers' comments. During the TPC meeting on March 6, 2015, in Leuven, Belgium, each paper was discussed in depth and the final decision of which papers to accept was made, resulting in a high-quality program of twelve accepted full and short papers and an acceptance rate of 24%. Work in Progress papers were also reviewed by at least three reviewers per paper, of which 13 were accepted (50% acceptance rate) and will be presented as a poster during the conference. Full papers, short papers and Works in Progress are part of the main proceedings and will be included in the ACM Digital Library.
In addition to these submissions, there were several other categories that received submissions, resulting in 3 workshops, 3 courses, 6 Doctoral Consortium papers, 9 TVX in Industry presentations, and 13 demos, which are all made available in the adjunct proceedings.
Finally, we also encourage attendees to attend the keynote: Empowering storytellers with social media, Jacob Shwirtz (Endemol Beyond USA).https://dl.acm.org/ft_gateway.cfm?id=2745197&dwn=1
Computational development traditionally focuses on the use of an iterative, generative mapping process from genotype to phenotype in order to obtain complex phenotypes which comprise regularity, repetition and module reuse. This work examines whether an evolutionary computational developmental algorithm is capable of producing a phenotype with no known pattern at all: the irrational number PI. The paper summarizes the fractal protein algorithm, provides a new analysis of how fractals are exploited by the developmental process, then presents experiments, results and analysis showing that evolution is capable of producing an approximate algorithm for PI that goes beyond the limits of precision of the data types used.https://dl.acm.org/ft_gateway.cfm?id=1570000&dwn=1
Many usability specialists practicing today have not had the benefit of formal education in the field, instead bringing unique value from their various backgrounds. This panel will address how (if at all) individuals' backgrounds contribute to their approach to usability. The panel will also investigate potential career paths and connections between a usability practitioner's background and his or her self-defined successes in usability groups positioned in different organizational structures.https://dl.acm.org/ft_gateway.cfm?id=506556&dwn=1
The Extreme Science and Engineering Discovery Environment (XSEDE) has created a suite of software that is collectively known as the XSEDE-Compatible Basic Cluster (XCBC). It is designed to enable smaller, resource-constrained research groups or universities to quickly and easily implement a computing environment similar to XSEDE computing resources. The XCBC system consists of the Rocks Cluster Manager, developed at the San Diego Supercomputer Center for use on Gordon and Comet, and an XSEDE-specific "Rocks Roll", containing a selection of libraries, compilers, and scientific software curated by the Campus Bridging (CB) group in the XSEDE project, kept current with those implemented on XSEDE resources. The Campus Bridging team has helped several universities implement the XCBC, and finds the design to be extremely useful for resource-limited (in time, administrator knowledge, or funding) research groups or institutions. Here, we detail our recent experiences in implementing the XCBC design at university campuses across the country. These XCBC implementations were carried out with Campus Bridging staff traveling on-site to the partner institutions to directly assist with the cluster build. In implementing XCBC on campuses, we found that number of the needs described by campus communities as well as the broader cyberinfrastructure community are solved by technical means, although financial issues remain. The remaining issue to be addressed is technical interoperation between systems, and we describe efforts to improve here.https://dl.acm.org/ft_gateway.cfm?id=2949570&dwn=1