Opin vísindi
Opin vísindi er varðveislusafn vísindaefnis og doktorsritgerða í opnum aðgangi á vegum íslenskra háskóla og Landsbókasafns Íslands - Háskólabókasafns.
Opinn aðgangur að rannsóknaniðurstöðum er í samræmi við 10. gr. laga nr. 3/2003 um opinberan stuðning við vísindarannsóknir sem og kröfur innlendra og erlendra rannsóknasjóða. Markmiðið með opnum aðgangi er að niðurstöður rannsókna séu aðgengilegar sem flestum óhindrað og án endurgjalds á rafrænu formi. Vistun í varðveislusafninu er varanleg og ætlað að tryggja aðgang að vísindaefni íslenskra háskóla í opnum aðgangi um ókomna tíð. Varðveislusafnið Opin vísindi er tengt við rannsóknagáttina IRIS og rannsóknaniðurstöður í opnum aðgangi sem eru skráðar í IRIS eru um leið vistaðar og gerðar aðgengilegar til framtíðar í varðveislusafninu. Með því að safna þessu efni saman í eitt safn verður aðgangur að því einfaldur og þægilegur fyrir alla sem vilja kynna sér það og geta þannig notið þess öfluga vísindastarfs sem fram fer í háskólum landsins.
Varðveislusafnið er OpenAIRE / OpenAIREplus samhæft og samrýmist kröfum sem gerðar eru um birtingu rannsóknaniðurstaðna úr verkefnum sem styrkt eru úr evrópsku rannsóknaáætlununum FP7 og H2020.
Varðveislusafnið notar opna hugbúnaðinn DSpace.
Opinn aðgangur að rannsóknaniðurstöðum er í samræmi við 10. gr. laga nr. 3/2003 um opinberan stuðning við vísindarannsóknir sem og kröfur innlendra og erlendra rannsóknasjóða. Markmiðið með opnum aðgangi er að niðurstöður rannsókna séu aðgengilegar sem flestum óhindrað og án endurgjalds á rafrænu formi. Vistun í varðveislusafninu er varanleg og ætlað að tryggja aðgang að vísindaefni íslenskra háskóla í opnum aðgangi um ókomna tíð. Varðveislusafnið Opin vísindi er tengt við rannsóknagáttina IRIS og rannsóknaniðurstöður í opnum aðgangi sem eru skráðar í IRIS eru um leið vistaðar og gerðar aðgengilegar til framtíðar í varðveislusafninu. Með því að safna þessu efni saman í eitt safn verður aðgangur að því einfaldur og þægilegur fyrir alla sem vilja kynna sér það og geta þannig notið þess öfluga vísindastarfs sem fram fer í háskólum landsins.
Varðveislusafnið er OpenAIRE / OpenAIREplus samhæft og samrýmist kröfum sem gerðar eru um birtingu rannsóknaniðurstaðna úr verkefnum sem styrkt eru úr evrópsku rannsóknaáætlununum FP7 og H2020.
Varðveislusafnið notar opna hugbúnaðinn DSpace.
Nýlega bætt við
A (Visual) Novel Route to Learning : A Taxonomy of Teaching Strategies in Visual Novels
(Association for Computing Machinery, 2020-09-15) Camingue, Janelynn; Melcer, Edward F.; Carstensdottir, Elin; Yannakakis, Georgios N.; Liapis, Antonios; Penny, Kyburz; Volz, Vanessa; Khosmood, Foaad; Lopes, Phil; Department of Computer Science
Interactive narratives are widely used to frame and contextualize education in games. However, the specifics of how their designs aid the learning process and outcomes remains relatively unexplored. To better understand this space, a study was conducted that focused on one sub-genre of interactive narrative, Visual Novels. Specifically, in this paper we conducted a survey of thirty-one existing educational Visual Novels, analyzing design elements that fostered learning and delivered educational content. The resulting taxonomy consists of five key dimensions for educational design and teaching strategies within Visual Novels: 1) Teaching Through Choice, 2) Teaching Through Scripted Sequences, 3) Teaching Through Mini-games, 4) Teaching Through Exploration and 5) Non-interactive Teaching. These dimensions demonstrate that there are a number of design considerations for supporting learning through Visual Novels. This work has implications for designers of educational games by classifying the different designs a Visual Novel can employ to teach-ultimately informing how to better present educational subject matter in interactive narrative games.
Introduction to the third annual lifelog search challenge (LSC'20)
(Association for Computing Machinery, 2020-06-11) Gurrin, Cathal; Le, Tu Khiem; Ninh, Van Tu; Dang-Nguyen, Duc Tien; Jónsson, Björn Þór; Lokoš, Jakub; Hürst, Wolfgang; Tran, Minh Triet; Schöffmann, Klaus; Department of Computer Science
The Lifelog Search Challenge (LSC) is an annual comparative benchmarking activity for comparing approaches to interactive retrieval from multi-modal lifelogs. LSC'20, the third such challenge, attracts fourteen participants with their interactive lifelog retrieval systems. These systems are comparatively evaluated in front of a live-audience at the LSC workshop at ACM ICMR'20 in Dublin, Ireland. This overview motivates the challenge, presents the dataset and system configuration used in the challenge, and briefly presents the participating teams.
Exquisitor at the Lifelog Search Challenge 2020
(Association for Computing Machinery, 2020-06-11) Khan, Omar Shahbaz; Larsen, Mathias Dybkjær; Poulsen, Liam Alex Sonto; Jónsson, Björn Þór; Zahálka, Jan; Rudinac, Stevan; Koelma, Dennis; Worring, Marcel; Department of Computer Science
We present an enhanced version of Exquisitor, our interactive and scalable media exploration system. At its core, Exquisitor is an interactive learning system using relevance feedback on media items to build a model of the users' information need. Relying on efficient media representation and indexing, it facilitates real-time user interaction. The new features for the Lifelog Search Challenge 2020 include support for timeline browsing, search functionality for finding positive examples, and significant interface improvements. Participation in the Lifelog Search Challenge allows us to compare our paradigm, relying predominantly on interactive learning, with more traditional search-based multimedia retrieval systems.
Induced seismicity risk analysis of the hydraulic stimulation of a geothermal well on Geldinganes, Iceland
(2020-06-04) Broccardo, Marco; Mignan, Arnaud; Grigoli, Francesco; Karvounis, Dimitrios; Rinaldi, Antonio Pio; Danciu, Laurentiu; Hofmann, Hannes; Milkereit, Claus; Dahm, Torsten; Zimmermann, Gunter; Hjörleifsdóttir, Vala; Wiemer, Stefan; Department of Engineering
The rapid increase in energy demand in the city of Reykjavik has posed the need for an additional supply of deep geothermal energy. The deep-hydraulic (re-)stimulation of well RV-43 on the peninsula of Geldinganes (north of Reykjavik) is an essential component of the plan implemented by Reykjavik Energy to meet this energy target. Hydraulic stimulation is often associated with fluid-induced seismicity, most of which is not felt on the surface but which, in rare cases, can be a nuisance to the population and even damage the nearby building stock. This study presents a first-of-its-kind pre-drilling probabilistic induced seismic hazard and risk analysis for the site of interest. Specifically, we provide probabilistic estimates of peak ground acceleration, European microseismicity intensity, probability of light damage (damage risk), and individual risk. The results of the risk assessment indicate that the individual risk within a radius of 2km around the injection point is below 0.1 micromorts, and damage risk is below 10-2 for the total duration of the project. However, these results are affected by several orders of magnitude of variability due to the deep uncertainties present at all levels of the analysis, indicating a critical need in updating this risk assessment with in situ data collected during the stimulation. Therefore, it is important to stress that this a priori study represents a baseline model and starting point to be updated and refined after the start of the project.
Evaluating the Effect of Timeline Shape on Visualization Task Performance
(Association for Computing Machinery, 2020-04-21) Di Bartolomeo, Sara; Pandey, Aditeya; Leventidis, Aristotelis; Saffo, David; Syeda, Uzma Haque; Carstensdottir, Elin; Seif El-Nasr, Magy; Borkin, Michelle A.; Dunne, Cody; Department of Computer Science
Timelines are commonly represented on a horizontal line, which is not necessarily the most effective way to visualize temporal event sequences. However, few experiments have evaluated how timeline shape influences task performance. We present the design and results of a controlled experiment run on Amazon Mechanical Turk (n=192) in which we evaluate how timeline shape affects task completion time, correctness, and user preference. We tested 12 combinations of 4 shapes - - horizontal line, vertical line, circle, and spiral A- and 3 data types A- recurrent, non-recurrent, and mixed event sequences. We found good evidence that timeline shape meaningfully affects user task completion time but not correctness and that users have a strong shape preference. Building on our results, we present design guidelines for creating effective timeline visualizations based on user task and data types. A free copy of this paper, the evaluation stimuli and data, and code are available https://osf.io/qr5yu/
Flokkar í Opnum vísindum
Veldu flokk til að skoða.
- University of Iceland
- University of Akureyri
- Bifröst University
- Hólar University College
- IRIS
- Agricultural University of Iceland
- National and University Library of Iceland
- Iceland University of the Arts