IADIS-INTERNATIONAL JOURNAL ON COMPUTER SCIENCE AND INFORMATION SYSTEMS

16

Authors: Mohid Tayyub and Gul N. Khan

Collison detection is a wide-ranging real-world application. It is one of the key components used in gaming, simulation and animation. Efficient algorithms are required for collision detection as it is repeatedly executed throughout the course of an application. Moreover, due to its computationally intensive nature researchers are investigating ways to reduce its execution time. This paper furthers those research works by devising a parallel CPU-GPU implementation of both broad and narrow phase collision detection with heterogenous workload sharing. An important aspect of co-scheduling is to determine an optimal CPU-GPU partition ratio. We also showcase a successive approximation approach for CPU-GPU implementation of collision detection. The paper demonstrates that the framework is not only applicable to CPU/GPU systems but to other system configuration obtaining a peak performance improvement in the range of 18%.

18

Authors: Joana Margarida Miguel, Maria João Varanda Pereira, Pedro Rangel Henriques and Mario Berón

The technology of nowadays allows to easily extract, store, process and use information about individuals and organizations. The increase of the amount of data collected and its value to our society was, at first, a great advance that could be used to optimize processes, find solutions and support decisions but also brought new problems related with lack of privacy and malicious attacks to confidential information. In this paper, a tool to anonymize databases is presented. It can be used by data publishers to protect information from attacks controlling the desired privacy level and the data usefulness. In order to specify these requirements a DSL (PrivasL) is used and the automatization of repository transformation, that is based on language processing techniques, is the novelty of this work.

20

Authors: Wen-Chieh Tung and Jing-Sin Liu

Coverage path planning (CPP) is a fundamental task that is conducted in many applications for machining, cleaning, mine sweeping, lawn mowing, and performing missions by using unmanned aerial vehicles such as mapping, surveillance, search and rescue, and air-quality monitoring. An approach for conducting CPP for a known environment with obstacles involves decomposing the environment into cells such that each cell can be covered individually. The visiting order of the cells can then be decided to connect those intracell paths together. Finding the shortest intercell path that visits every cell and returns to the origin cell is similar to the traveling salesman problem (TSP). However, an additional variation from TSP that should be considered is that there are multiple intracell paths for each cell. These paths result from different selections of entry and exit points in each cell and thus affect the intercell path. This integrated TSP and CPP problem is known as TSP-CPP and is similar to the TSP with neighborhoods (TSPN). To solve TSP-CPP, one must simultaneously determine the visiting order of sites with minimal repetition and the transition points of each visiting site. The current approaches for solving TSP-CPP are as follows: (i) adapting dynamic programming (DP) for TSP to TSP-CPP, which is excellent for obtaining the optimal route and (ii) determining the optimal route by conducting a brute force enumerative search on entry and exit point combinations for every cell and then solving each combination of entry and exit points with a TSP solver. For large numbers of cells, approaches (i) and (ii) both suffer from exponential complexity and are impractical for complex environments. In this study, we proposed an appropriate genetic algorithm implementation for TSP-CPP to achieve an optimal balance between time efficiency and path optimality to eliminate the curse of dimensionality in DP. Our approach is demonstrated to find the true optimal solution as DP in all simulation environments that can be solved by both DP and GA, and GA is one hundred times faster than DP approach for maps decomposed with large cell number.

13

Authors: Alexander Streicher, Julien Hoffmann and Wolfgang Roller

This paper presents the concept and technical details for a “Virtual reality Image Exploitation Workspace” (VIEW) for use in e.g. aerial image interpretation. Virtual Reality (VR) and serious gaming can increase the learning motivation and outcome in image interpretation. We use our VIEW concept for a VR game-like assistance system to evaluate the learning-supporting immersion or presence level of image interpreters while solving typical interpretation tasks in VR. The problem statement centers on the realization aspects of a VR assistance system for image interpretation providing a high level of immersion. This work combines the setting of a real serious game for formal image interpretation training with virtual reality to increase the immersion level. We also examined the special requirements for image quality and formal workflows that arise from professional image interpretation. The presented VIEW concept deals with multiple aspects in respect to e-learning, professional training and virtual reality for image interpretation. Preliminary evaluation results from a realized prototype show the feasibility and user acceptance of the VIEW concept.

14

Authors: Bernardo Alves Villarinho Lima and Leonelo Dell Anhol Almeida

Over the last four decades, Participatory Design (PD) gained traction in Human Computer Interaction (HCI) communities around the world. The approach presents alternatives in attempts to design with persons, and not only for them, in the form of techniques and design practices. Many contemporary PD researchers seek to turn the approach towards designing for democracy and empowerment of partner groups, contrary to PD practices which simply focus on the production of artifacts. Countering technocratic trends, researchers around the world seek to revitalize the discipline by proposing and promoting alternative research agendas, towards a critical and politically engaged discipline. Designers present themselves as actors and actresses in these processes, and understanding how they operate can inform future work on how design practices can promote empowerment despite the power gap between partners and designers. Perspectives from Science, Technology and Society (STS) studies informs critical theories to approach thinking of the designer’s role, agency, and responsibilities that go beyond the production of artifacts, including ethical, political, and technological concerns, the last one being comprehended in a non-deterministic way and encompass activities beyond the design of artifacts. This paper explores works from the 2018 Participatory Design Conference (PDC), seeking state-of-the-art on how researchers perceive themselves in their practices, using STS studies and Cr, and proposes a set of suggestions on how to plan situated participation.

17

Authors: Joseph Bills and Yiu-Kai Ng

Video games could have potential therapeutic value for individuals on the autism spectrum, but little research has been done on targeting games to the diverse individual needs of adults with autism, and the problem is complicated by the inaccessibility of patient profiles. It is also important to incorporate fun as well as therapeutic value into recommendations. Fun can be estimated by comparing a user’s profile of preferred games to the proposed therapeutic games using information from online resources like VideoGameGeek and Wikipedia, even though sorting by therapeutic value is still non-trivial. This can be done by labeling therapeutic games with discrete categories according to their therapeutic value, and sorting games primarily by therapeutic category, and secondarily by estimated fun value. In this paper, we present an approach of using the patient’s profile of preferred games as a proxy for their clinical profile, and making game recommendation based on a hypothetical model and updates in response to feedback. This feedback is measured using an ad-hoc questionnaire, which is evaluated on a set of adults with autism spectrum disorder. This model both enables personalized game recommendation from a cold start and allows the learned information to be generalized to other patients.

22

Authors: Joshua Doe, Rogier Van de Wetering, Ben Honyenuga and Johan Versendaal

This paper seeks to test the Firm Technology Adoption Model (F-TAM) using data from a developing country context. The data for this current study were purposively collected from four hundred (400) SMEs in the Greater Accra Region of Ghana. We used partial least squares structural equation modeling (PLS-SEM) for our data analysis. Data revealed that, whereas employee factors can lead to firm adoption, firm factors of adoption do not lead to firm adoption if societal factors, characteristics of the innovation, and employee factors do not moderate the relationship between firm factors and firm adoption. Data also reveals that societal factors do not lead to firm adoption if employee factors do not mediate it. The theoretical contribution of this study is that it challenges the dominant idea in most of the earlier models that firm adoption of innovation will be realized, without reference to factors at other levels of adoption. This positioning of the F-TAM model is a significant departure from earlier models. For industry practitioners, these findings illustrate the essence of putting a premium on recruiting technologically savvy employees if the firm intends to adopt digital technologies.