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What is a Visual Novel?
(2021-09) Camingue, Janelynn; Carstensdottir, Elin; Melcer, Edward F.; Department of Computer Science
Visual Novel (VN) is a widely recognizable genre of narrative-focused games that has grown in popularity over the past decade. Surprisingly, despite being so widely recognizable, there is not a singular definition to help guide the design and analysis of such games - -with academic definitions and implementations ranging from "interactive textbooks"to "adventure games with multi-ending stories". In this paper, we present a unified definition of VNs drawn from an analysis of 30 prior academic definitions. We also examined 54 existing VNs to further refine our definition and employ a deeper analysis of the interactivity within VNs. We highlight key features of VNs that arise in our definition, and discuss resulting implications for the design of VNs. This work is relevant for narrative game designers and researchers, affording a more unified structure and clearer guidelines to identify, analyze, and design future VN games.
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The design of RIP belts impacts the reliability and quality of the measured respiratory signals
(2021-09) Montazeri, Kristofer; Jonsson, Sigurdur Aegir; Agustsson, Jon Skirnir; Serwatko, Marta; Gislason, Thorarinn; Arnardottir, Erna S.; Department of Engineering; Department of Computer Science
Purpose: Evaluate the effect of respiratory inductance plethysmography (RIP) belt design on the reliability and quality of respiratory signals. A comparison of cannula flow to disposable cut-to-fit, semi-disposable folding and disposable RIP belts was performed in clinical home sleep apnea testing (HSAT) studies. Methods: This was a retrospective study using clinical HSAT studies. The signal reliability of cannula, thorax, and abdomen RIP belts was determined by automatically identifying periods during which the signals did not represent respiratory airflow and breathing movements. Results were verified by manual scoring. RIP flow quality was determined by examining the correlation between the RIP flow and cannula flow when both signals were considered reliable. Results: Of 767 clinical HSAT studies, mean signal reliability of the cut-to-fit, semi-disposable, and disposable thorax RIP belts was 83.0 ± 26.2%, 76.1 ± 24.4%, and 98.5 ± 9.3%, respectively. The signal reliability of the cannula was 92.5 ± 16.1%, 87.0 ± 23.3%, and 85.5 ± 24.5%, respectively. The automatic assessment of signal reliability for the RIP belts and cannula flow had a sensitivity of 50% and a specificity of 99% compared with manual assessment. The mean correlation of cannula flow to RIP flow from the cut-to-fit, semi-disposable, and disposable RIP belts was 0.79 ± 0.24, 0.52 ± 0.20, and 0.86 ± 0.18, respectively. Conclusion: The design of RIP belts affects the reliability and quality of respiratory signals. The disposable RIP belts that had integrated contacts and did not fold on top of themselves performed the best. The cut-to-fit RIP belts were most likely to be unreliable, and the semi-disposable folding belts produced the lowest-quality RIP flow signals compared to the cannula flow signal.
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ViRMA : Virtual Reality Multimedia Analytics at LSC 2021
(Association for Computing Machinery, Inc, 2021-08-21) Duane, Aaron; Jónsson, Björn Þór; Department of Computer Science
In this paper we describe the first iteration of the ViRMA prototype system, a novel approach to multimedia analysis in virtual reality and inspired by the M3 data model. We intend to evaluate our approach via the Lifelog Search Challenge (LSC) to serve as a benchmark against other multimedia analytics systems.
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LifeMon : A MongoDB-Based Lifelog Retrieval Prototype
(Association for Computing Machinery, Inc, 2021-08-21) Faisst, Alexander Christian; Jónsson, Björn Þór; Department of Computer Science
We present LifeMon, a new lifelog retrieval prototype targeting LSC. LifeMon is based around the MongoDB document store, which is one of a host of scalable NoSQL systems developed over the last two decades, with a semi-structured data model that seems well matched with lifelog requirements. Preliminary results indicate that the system is efficient and that novice users can successfully use it to solve some LSC tasks.
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Exquisitor at the Lifelog Search Challenge 2021 : Relationships between Semantic Classifiers
(Association for Computing Machinery, Inc, 2021-08-21) Khan, Omar Shahbaz; Duane, Aaron; Jónsson, Björn Þór; Zahálka, Jan; Rudinac, Stevan; Worring, Marcel; Department of Computer Science
Exquisitor is a scalable media exploration system based on interactive learning. To satisfy a user's information need, the system asks the user for feedback on media items and uses that feedback to interactively construct a classifier, that is in turn used to identify the next potentially relevant set of media items. To facilitate effective exploration of a collection, the system offers filters to narrow the scope of exploration, search functionality for finding good examples for the classifier, and support for timeline browsing of videos or image sequences. For this year's Lifelog Search Challenge, we have enhanced Exquisitor to better support tasks with a temporal component, by adding features that allow the user to build multiple classifiers and merge the classifier results, using both traditional set operators and advanced temporal operators.

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