| 1. |
- Albrecht, Mario, et al.
(författare)
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On Open Problems in Biological Network Visualization
- 2009
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Ingår i: Graph Drawing. - Berlin Heidelberg New York : Springer. - 9783642118043 ; , s. 256-267
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Bokkapitel (refereegranskat)abstract
- Much of the data generated and analyzed in the life sciences can be interpreted and represented by networks or graphs. Network analysis and visualization methods help in investigating them, and many universal as well as special-purpose tools and libraries are available for this task. However, the two fields of graph drawing and network biology are still largely disconnected. Hence, visualization of biological networks does typically not apply state-of-the-art graph drawing techniques, and graph drawing tools do not respect the drawing conventions of the life science community.In this paper, we analyze some of the major problems arising in biological network visualization.We characterize these problems and formulate a series of open graph drawing problems. These use cases illustrate the need for efficient algorithms to present, explore, evaluate, and compare biological network data. For each use case, problems are discussed and possible solutions suggested.
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| 2. |
- Alfalahi, Alyaa, et al.
(författare)
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Expanding a dictionary of marker words for uncertainty and negation using distributional semantics
- 2015
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Ingår i: EMNLP 2015 - 6th International Workshop on Health Text Mining and Information Analysis, LOUHI 2015 : Proceedings of the Workshop - Proceedings of the Workshop. - : Association for Computational Linguistics. - 9781941643327 ; , s. 90-96
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Konferensbidrag (refereegranskat)abstract
- Approaches to determining the factuality of diagnoses and findings in clinical text tend to rely on dictionaries of marker words for uncertainty and negation. Here, a method for semi-automatically expanding a dictionary of marker words using distributional semantics is presented and evaluated. It is shown that ranking candidates for inclusion according to their proximity to cluster centroids of semantically similar seed words is more successful than ranking them according to proximity to each individual seed word.
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| 3. |
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| 4. |
- Borgo, Rita, et al.
(författare)
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Crowdsourcing for Information Visualization : Promises and Pitfalls
- 2017
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Ingår i: Evaluation in the Crowd. - Cham : Springer. - 9783319664347 - 9783319664354 ; , s. 96-138
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Bokkapitel (refereegranskat)abstract
- Crowdsourcing offers great potential to overcome the limitations of controlled lab studies. To guide future designs of crowdsourcing-based studies for visualization, we review visualization research that has attempted to leverage crowdsourcing for empirical evaluations of visualizations. We discuss six core aspects for successful employment of crowdsourcing in empirical studies for visualization – participants, study design, study procedure, data, tasks, and metrics & measures. We then present four case studies, discussing potential mechanisms to overcome common pitfalls. This chapter will help the visualization community understand how to effectively and efficiently take advantage of the exciting potential crowdsourcing has to offer to support empirical visualization research.
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| 5. |
- Büschel, Wolfgang, et al.
(författare)
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Interaction for Immersive Analytics
- 2018
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Ingår i: Immersive Analytics. - Cham : Springer. - 9783030013875 - 9783030013882 ; , s. 95-138
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- In this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal. Finally, we look at some emerging system designs that suggest future directions.
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| 6. |
- Cernea, Daniel, 1983-, et al.
(författare)
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A Study of Emotion-triggered Adaptation Methods for Interactive Visualization
- 2013
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Ingår i: UMAP 2013 Extended Proceedings. - : CEUR-WS.org. ; , s. 9-16
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Konferensbidrag (refereegranskat)abstract
- As the size and complexity of datasets increases, both visual-ization systems and their users are put under more pressure to oer quickand thorough insights about patterns hidden in this ocean of data. Whilenovel visualization techniques are being developed to better cope withthe various data contexts, users nd themselves increasingly often undermental bottlenecks that can induce a variety of emotions. In this paper,we execute a study to investigate the eectiveness of various emotion-triggered adaptation methods for visualization systems. The emotionsconsidered are boredom and frustration, and are measured by means ofbrain-computer interface technology. Our ndings suggest that less intru-sive adaptive methods perform better at supporting users in overcomingemotional states with low valence or arousal, while more intrusive onestend to be misinterpreted or perceived as irritating.
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| 7. |
- Cernea, Daniel, 1983-, et al.
(författare)
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An Interactive Visualization for Tabbed Browsing Behavior Analysis
- 2014
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Ingår i: Computer Vision, Imaging and Computer Graphics. - Berlin, Heidelberg : Springer. - 9783662449103 ; , s. 69-84
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Bokkapitel (refereegranskat)abstract
- Web browsers are at the core of online user experience, enablinga wide range of Web applications, like communication, games, entertainment, development, etc. Additionally, given the variety and complexity of online-supported tasks, users have started parallelizing and organizing their online browser sessions by employing multiple browser windows and tabs. However, there are few solutions that support analysts and casual users in detecting and extracting patterns from these parallel browsing histories. In this paper we introduce WebComets, an interactive visualization for exploring multi-session multi-user parallel browsing logs. After highlighting visual and functional aspects of the system, we introduce a motif-based contextual search for enabling the filtering and comparison of user navigation patterns. We further highlight the functionality of WebComets with a use case. Our investigations suggest that parallel browser history visualization can offer better insight into user tabbed browsing behavior and support the recognition of online navigation patterns.
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| 8. |
- Cernea, Daniel, 1983-, et al.
(författare)
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Controlling In-Vehicle Systems with a Commercial EEG Headset: Performance and Cognitive Load
- 2012
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Ingår i: Visualization of Large and Unstructured Data Sets. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
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Konferensbidrag (refereegranskat)abstract
- Humans have dreamed for centuries to control their surroundings solely by the power of theirminds. These aspirations have been captured by multiple science fiction creations, like theNeuromancer novel by William Gibson or the Brainstorm cinematic movie, to name just a few.Nowadays these dreams are slowly becoming reality due to a variety of brain-computer interfaces(BCI) that detect neural activation patterns and support the control of devices by brain signals.An important field in which BCIs are being successfully integrated is the interaction withvehicular systems. In this paper we evaluate the performance of BCIs, more specifically a commercialelectroencephalographic (EEG) headset, in combination with vehicle dashboard systemsand highlight the advantages and limitations of this approach. Further, we investigate the cognitiveload that drivers experience when interacting with secondary in-vehicle devices via touchcontrols or a BCI headset. As in-vehicle systems are increasingly versatile and complex, it becomesvital to capture the level of distraction and errors that controlling these secondary systemsmight introduce to the primary driving process. Our results suggest that the control with theEEG headset introduces less distraction to the driver, probably as it allows the eyes of the driverto remain focused on the road. Still, the control of the vehicle dashboard by EEG is efficientonly for a limited number of functions, after which increasing the number of in-vehicle controlsamplifies the detection of false commands.
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| 9. |
- Cernea, Daniel, 1983-, et al.
(författare)
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Detecting Insight and Emotion in Visualization Applications with a Commercial EEG Headset
- 2011
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Ingår i: <em>Proceedings of the SIGRAD 2011 Conference on Evaluations of Graphics and Visualization - Efficiency, Usefulness, Accessibility, Usability</em>, KTH, Stockholm, Sweden.. - Linköping : Linköping University Electronic Press. - 9789173930086 ; , s. 53-60
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Konferensbidrag (refereegranskat)abstract
- Insight represents a special element of knowledge building. From the beginning of their lives, humans experience moments of insight in which a certain idea or solution becomes as clear to them as never before. Especially in the field of visual representations, insight has the potential to be at the core of comprehension and pattern recognition. Still, one problem is that this moment of clarity is highly unpredictable and complex in nature, and many scientists have investigated different aspects of its generation process in the hope of capturing the essence of this eureka (Greek, for "I have found") moment. In this paper, we look at insight from the spectrum of information visualization. In particular, we inspect the possible correlation between epiphanies and emotional responses subjects experience when having an insight. In order to check the existence of such a connection, we employ a set of initial tests involving the EPOC mobile electroencephalographic (EEG) headset for detecting emotional responses generated by insights. The insights are generated by open-ended tasks that take the form of visual riddles and visualization applications. Our results suggest that there is a strong connection between insight and emotions like frustration and excitement. Moreover, measuring emotional responses via EEG during an insight-related problem solving results in non-intrusive, nearly automatic detection of the major Aha! moments the user experiences. We argue that this indirect detection of insights opens the door for the objective evaluation and comparison of various visualizations techniques.
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| 10. |
- Cernea, Daniel, 1983-, et al.
(författare)
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EEG-based Measurement of Subjective Parameters in Evaluations
- 2011
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Ingår i: <em> HCI International 2011 Posters' Extended Abstracts</em>. - Berlin Heidelberg : Springer. - 9783642220944 ; , s. 279-283
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Konferensbidrag (refereegranskat)abstract
- Evaluating new approaches, be it new interaction techniques, new applications or even new hardware, is an important task, which has to be done to ensure both usability and user satisfaction. The drawback of evaluating subjective parameters is that this can be relatively time consuming, and the outcome is possibly quite imprecise. Considering the recent release of cost-efficient commercial EEG headsets, we propose the utilization of electro-encephalographic (EEG) devices for evaluation purposes. The goal of our research is to evaluate if a commercial EEG headset can provide cutting-edge support during user studies and evaluations. Our results are encouraging and suggest that wireless EEG technology is a viable alternative for measuring subjectivity in evaluation scenarios.
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