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Kerren, A., Cernea, D. & Pohl, M. (Eds.). (2016). Proceedings of EmoVis 2016: ACM IUI 2016 Workshop on Emotion and Visualization. Paper presented at ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16), Sonoma, CA, USA, 2016. Linköping, Sweden: Linköping University Electronic Press
Open this publication in new window or tab >>Proceedings of EmoVis 2016: ACM IUI 2016 Workshop on Emotion and Visualization
2016 (English)Conference proceedings (editor) (Refereed)
Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University Electronic Press, 2016. p. 38
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686 ; 103
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-49978 (URN)10.3384/ecp103 (DOI)978-91-7685-817-2 (ISBN)
Conference
ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16), Sonoma, CA, USA, 2016
Available from: 2016-02-29 Created: 2016-02-29 Last updated: 2018-01-10Bibliographically approved
Kucher, K., Cernea, D. & Kerren, A. (2016). Visualizing Excitement of Individuals and Groups. In: Andreas Kerren, Daniel Cernea, and Margit Pohl (Ed.), Proceedings of the ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16): . Paper presented at ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16), Sonoma, CA, USA, 2016 (pp. 15-22). Linköping, Sweden: Linköping University Electronic Press
Open this publication in new window or tab >>Visualizing Excitement of Individuals and Groups
2016 (English)In: Proceedings of the ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16) / [ed] Andreas Kerren, Daniel Cernea, and Margit Pohl, Linköping, Sweden: Linköping University Electronic Press, 2016, p. 15-22Conference paper, Published paper (Refereed)
Abstract [en]

Excitement or arousal is one of the main emotional dimensions that affects our lives on a daily basis. We win a tennis match, watch a great movie, get into an argument with a colleague—all of these are instances when most of us experience excitement, yet we do not pay much attention to it. Today, there are few systems that capture our excitement levels and even fewer that actually promote awareness of our most exciting moments. In this paper, we propose a visualization concept for representing individual and group-level excitement for emotional self-awareness and group-level awareness. The data used for the visualization is obtained from smart wristbands worn by each of the users. The visualization uses animated glyphs to generate a real-time representation for each individual’s excitement levels. We introduce two types of encodings for these glyphs: one focusing on capturing both the current excitement and the excitement history, as well as another focusing only on real-time values and previous peaks. The excitement levels are computed based on measurements of the user’s galvanic skin response and accelerometer data from the wristbands, allowing for a classification of the excitement levels into experienced (excitement without physical manifestation) and manifested excitement. A dynamic clustering of the individual glyphs supports the scalability of our visualization, while at the same time offering an overview of the group-level excitement and its distribution. The results of a preliminary evaluation suggest that the visualization allows users to intuitively and accurately perceive both individual and group-level excitement. 

Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University Electronic Press, 2016
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686 ; 103
Keywords
excitement visualization, emotion visualization, group excitement, personal visualization, galvanic skin response
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-49976 (URN)10.3384/ecp10303 (DOI)978-91-7685-817-2 (ISBN)
Conference
ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16), Sonoma, CA, USA, 2016
Projects
StaViCTA
Funder
Swedish Research Council, 2012-5659
Available from: 2016-02-29 Created: 2016-02-29 Last updated: 2018-01-10Bibliographically approved
Kerren, A., Cernea, D. & Pohl, M. (2016). Workshop on Emotion and Visualization: EmoVis 2016. In: Companion Publication of the 21st International Conference on Intelligent User Interfaces: . Paper presented at 21st International Conference on Intelligent User Interfaces (IUI '16), Sonoma, CA, USA, March 7-10, 2016 (pp. 1-2). New York, NY, USA: ACM Publications
Open this publication in new window or tab >>Workshop on Emotion and Visualization: EmoVis 2016
2016 (English)In: Companion Publication of the 21st International Conference on Intelligent User Interfaces, New York, NY, USA: ACM Publications, 2016, p. 1-2Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
New York, NY, USA: ACM Publications, 2016
Keywords
affective computing, emotion detection, emotion measurement, emotion-driven adaptation, emotion-enhanced interaction, emotion-enhanced visualization, visualization
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-50694 (URN)10.1145/2876456.2882847 (DOI)2-s2.0-85014276699 (Scopus ID)978-1-4503-4140-0 (ISBN)
Conference
21st International Conference on Intelligent User Interfaces (IUI '16), Sonoma, CA, USA, March 7-10, 2016
Available from: 2016-03-14 Created: 2016-03-14 Last updated: 2019-05-23Bibliographically approved
Cernea, D. & Kerren, A. (2015). A Survey of Technologies on the Rise for Emotion-Enhanced Interaction. Journal of Visual Languages and Computing, 31(A), 70-86
Open this publication in new window or tab >>A Survey of Technologies on the Rise for Emotion-Enhanced Interaction
2015 (English)In: Journal of Visual Languages and Computing, ISSN 1045-926X, E-ISSN 1095-8533, Vol. 31, no A, p. 70-86Article in journal (Refereed) Published
Abstract [en]

Emotions are a major part of the human existence and social interactions. Some might say that emotions are one of the aspects that make us truly human. However, while we express emotions in various life settings, the world of computing seems to struggle with supporting and incorporating the emotional dimension. In the last decades, the concept of affect has gotten a new upswing in research, moving beyond topics like market research and product development, and further exploring the area of emotion-enhanced interaction.

In this article, we highlight techniques that have been employed more intensely for emotion measurement in the context of affective interaction. Besides capturing the functional principles behind these approaches and the inherent volatility of human emotions, we present relevant applications and establish a categorization of the roles of emotion detection in interaction. Based on these findings, we also capture the main challenges that emotion measuring technologies will have to overcome in order to enable a truly seamless emotion-driven interaction.

Place, publisher, year, edition, pages
Elsevier, 2015
Keywords
Emotion detection, Emotion measurement, Social aspects, Collaboration support, Emotion-driven adaptation, Emotion-enhanced interaction
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-43357 (URN)10.1016/j.jvlc.2015.10.001 (DOI)000366144700006 ()2-s2.0-84959333616 (Scopus ID)
Available from: 2015-05-26 Created: 2015-05-26 Last updated: 2018-01-11Bibliographically approved
Cernea, D., Weber, C., Ebert, A. & Kerren, A. (2015). Emotion-Prints: Interaction-Driven Emotion Visualization on Multi-Touch Interfaces. In: David L. Kao, Ming C. Hao, Mark A. Livingston, and Thomas Wischgoll (Ed.), Proceedings of SPIE 9397: Visualization and Data Analysis 2015, San Francisco, CA, USA, February 8-12, 2015: . Paper presented at SPIE 2015 Conference on Visualization and Data Analysis (VDA '15) (pp. 9397-0A). SPIE - International Society for Optical Engineering
Open this publication in new window or tab >>Emotion-Prints: Interaction-Driven Emotion Visualization on Multi-Touch Interfaces
2015 (English)In: Proceedings of SPIE 9397: Visualization and Data Analysis 2015, San Francisco, CA, USA, February 8-12, 2015 / [ed] David L. Kao, Ming C. Hao, Mark A. Livingston, and Thomas Wischgoll, SPIE - International Society for Optical Engineering, 2015, p. 9397-0A-Conference paper, Published paper (Refereed)
Abstract [en]

Emotions are one of the unique aspects of human nature, and sadly at the same time one of the elements that our technological world is failing to capture and consider due to their subtlety and inherent complexity. But with the current dawn of new technologies that enable the interpretation of emotional states based on techniques involving facial expressions, speech and intonation, electrodermal response (EDS) and brain-computer interfaces (BCIs), we are finally able to access real-time user emotions in various system interfaces. In this paper we introduce emotion-prints, an approach for visualizing user emotional valence and arousal in the context of multi-touch systems. Our goal is to offer a standardized technique for representing user affective states in the moment when and at the location where the interaction occurs in order to increase affective self-awareness, support awareness in collaborative and competitive scenarios, and offer a framework for aiding the evaluation of touch applications through emotion visualization. We show that emotion-prints are not only independent of the shape of the graphical objects on the touch display, but also that they can be applied regardless of the acquisition technique used for detecting and interpreting user emotions. Moreover, our representation can encode any affective information that can be decomposed or reduced to Russell’s two-dimensional space of valence and arousal. Our approach is enforced by a BCI-based user study and a follow-up discussion of advantages and limitations. 

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2015
Series
Proceedings of SPIE, ISSN 0277-786X ; 9397
Keywords
emotion visualization, emotion fingerprints, touch events, multi-touch interface, human-centered design, brain-computer interface
National Category
Human Computer Interaction Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-38564 (URN)10.1117/12.2076473 (DOI)000350276200009 ()2-s2.0-84923902436 (Scopus ID)9781628414875 (ISBN)
Conference
SPIE 2015 Conference on Visualization and Data Analysis (VDA '15)
Available from: 2014-12-09 Created: 2014-12-09 Last updated: 2018-01-11Bibliographically approved
Cernea, D. (2015). User-Centered Collaborative Visualization. (Doctoral dissertation). Växjö: Linnaeus University Press
Open this publication in new window or tab >>User-Centered Collaborative Visualization
2015 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

The last couple of years have marked the entire field of information technology with the introduction of a new global resource, called data. Certainly, one can argue that large amounts of information and highly interconnected and complex datasets were available since the dawn of the computer and even centuries before. However, it has been only a few years since digital data has exponentially expended, diversified and interconnected into an overwhelming range of domains, generating an entire universe of zeros and ones. This universe represents a source of information with the potential of advancing a multitude of fields and sparking valuable insights. In order to obtain this information, this data needs to be explored, analyzed and interpreted.

While a large set of problems can be addressed through automatic techniques from fields like artificial intelligence, machine learning or computer vision, there are various datasets and domains that still rely on the human intuition and experience in order to parse and discover hidden information. In such instances, the data is usually structured and represented in the form of an interactive visual representation that allows users to efficiently explore the data space and reach valuable insights. However, the experience, knowledge and intuition of a single person also has its limits. To address this, collaborative visualizations allow multiple users to communicate, interact and explore a visual representation by building on the different views and knowledge blocks contributed by each person.

In this dissertation, we explore the potential of subjective measurements and user emotional awareness in collaborative scenarios as well as support flexible and user-centered collaboration in information visualization systems running on tabletop displays. We commence by introducing the concept of user-centered collaborative visualization (UCCV) and highlighting the context in which it applies. We continue with a thorough overview of the state-of-the-art in the areas of collaborative information visualization, subjectivity measurement and emotion visualization, combinable tabletop tangibles, as well as browsing history visualizations. Based on a new web browser history visualization for exploring user parallel browsing behavior, we introduce two novel user-centered techniques for supporting collaboration in co-located visualization systems. To begin with, we inspect the particularities of detecting user subjectivity through brain-computer interfaces, and present two emotion visualization techniques for touch and desktop interfaces. These visualizations offer real-time or post-task feedback about the users’ affective states, both in single-user and collaborative settings, thus increasing the emotional self-awareness and the awareness of other users’ emotions. For supporting collaborative interaction, a novel design for tabletop tangibles is described together with a set of specifically developed interactions for supporting tabletop collaboration. These ring-shaped tangibles minimize occlusion, support touch interaction, can act as interaction lenses, and describe logical operations through nesting operations. The visualization and the two UCCV techniques are each evaluated individually capturing a set of advantages and limitations of each approach. Additionally, the collaborative visualization supported by the two UCCV techniques is also collectively evaluated in three user studies that offer insight into the specifics of interpersonal interaction and task transition in collaborative visualization. The results show that the proposed collaboration support techniques do not only improve the efficiency of the visualization, but also help maintain the collaboration process and aid a balanced social interaction. 

Place, publisher, year, edition, pages
Växjö: Linnaeus University Press, 2015. p. 218
Series
Linnaeus University Dissertations ; 224/2015
Keywords
collaborative information visualization, computer-supported cooperative work (CSCW), user-centered design, emotion visualization, affective user interface, tabletop, touch surfaces, nestable tangibles, subjective evaluation
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization; Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-42976 (URN)978-91-87925-65-8 (ISBN)
Public defence
2015-06-11, D1136, Building D, Växjö, 14:00 (English)
Opponent
Supervisors
Available from: 2015-05-06 Created: 2015-05-05 Last updated: 2018-01-11Bibliographically approved
Cernea, D., Truderung, I., Kerren, A. & Ebert, A. (2014). An Interactive Visualization for Tabbed Browsing Behavior Analysis. In: Sebastiano Battiato, Sabine Coquillart, Robert S. Laramee, Andreas Kerren, and José Braz (Ed.), Computer Vision, Imaging and Computer Graphics: Theory and Applications (pp. 69-84). Springer
Open this publication in new window or tab >>An Interactive Visualization for Tabbed Browsing Behavior Analysis
2014 (English)In: Computer Vision, Imaging and Computer Graphics: Theory and Applications / [ed] Sebastiano Battiato, Sabine Coquillart, Robert S. Laramee, Andreas Kerren, and José Braz, Springer, 2014, p. 69-84Chapter in book (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2014
Series
Communications in Computer and Information Science, ISSN 1865-0929 ; 458
Keywords
tabbed browsing behavior visualization, parallel browsing history, time series, glyph-based techniques
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-27938 (URN)10.1007/978-3-662-44911-0_5 (DOI)2-s2.0-84908553647 (Scopus ID)978-3-662-44910-3 (ISBN)
Available from: 2013-08-07 Created: 2013-08-07 Last updated: 2018-01-11Bibliographically approved
Cernea, D., Weber, C., Kerren, A. & Ebert, A. (2014). Group Affective Tone Awareness and Regulation through Virtual Agents. In: Proceedings of the Workshop on Affective Agents: Fourteenth International Conference on Intelligent Virtual Agents (IVA 2014). Paper presented at IVA 2014 Workshop on Affective Agents, Boston, MA, USA, 27-29 August, 2014 (pp. 9-16).
Open this publication in new window or tab >>Group Affective Tone Awareness and Regulation through Virtual Agents
2014 (English)In: Proceedings of the Workshop on Affective Agents: Fourteenth International Conference on Intelligent Virtual Agents (IVA 2014), 2014, p. 9-16Conference paper, Published paper (Refereed)
Abstract [en]

It happens increasingly often that experts need to collaboratein order to exchange ideas, views and opinions on their path towardsunderstanding. However, every collaboration process is inherently fragileand involves a large set of human subjective aspects, including socialinteraction, personality, and emotions. In this paper we present Pogat,an affective virtual agent designed to support the collaboration processaround displays by increasing user awareness of the group affective tone.A positive group affective tone, where all the participants of a groupexperience emotions of a positive valence, has been linked to fosteringcreativity in groups and supporting the entire collaboration process. Atthe same time, a negative or inexistent group affective tone can suggestnegative emotions in some of the group members, emotions that canlead to an inefficient or even obstructed collaboration. A study of ourapproach suggests that Pogat can increase the awareness of the overallaffective state of the group as well as positively affect the efficiency ofgroups in collaborative scenarios.

Keywords
affective virtual agents, group affective tone, awareness
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-35978 (URN)
Conference
IVA 2014 Workshop on Affective Agents, Boston, MA, USA, 27-29 August, 2014
Available from: 2014-07-07 Created: 2014-07-07 Last updated: 2018-01-11Bibliographically approved
Cernea, D., Ebert, A. & Kerren, A. (2014). Visualizing Group Affective Tone in Collaborative Scenarios. In: : . Paper presented at EuroVis 14,9-13 June, 2014 Swansea, Wales, UK,.
Open this publication in new window or tab >>Visualizing Group Affective Tone in Collaborative Scenarios
2014 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

A large set of complex datasets require the use of collaborative visualization solutions in order to harness the knowledge and experience of multiple experts. However, be it co-located or distributed, the collaboration process is inherently fragile, as small mistakes in communication or various human aspects can quickly derail it. In this paper, we introduce a novel visualization technique that highlights the group affective tone (GAT), also known as the presence of homogeneous emotional reactions within a group. The goal of our visualization is to improve users’ awareness of GAT, thus fostering a positive group affective tone that has been proven to increase effectiveness and creativity in collaborative scenarios. 

Keywords
collaborative visualization, group affective tone, visualization, CSCW, interaction, BCI devices
National Category
Computer and Information Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-34128 (URN)
Conference
EuroVis 14,9-13 June, 2014 Swansea, Wales, UK,
Available from: 2014-05-08 Created: 2014-05-08 Last updated: 2018-01-11Bibliographically approved
Cernea, D., Ebert, A. & Kerren, A. (2013). A Study of Emotion-triggered Adaptation Methods for Interactive Visualization. In: Shlomo Berkovsky, Eelco Herder, Pasquale Lops & Olga C. Santos (Ed.), UMAP 2013 Extended Proceedings: Late-Breaking Results, Project Papers and Workshop Proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization. Rome, Italy, June 10-14, 2013. Paper presented at 1st International Workshop on User-Adaptive Visualization (WUAV '13), June 10-14, 2013, Rome (pp. 9-16). CEUR-WS.org, 997
Open this publication in new window or tab >>A Study of Emotion-triggered Adaptation Methods for Interactive Visualization
2013 (English)In: UMAP 2013 Extended Proceedings: Late-Breaking Results, Project Papers and Workshop Proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization. Rome, Italy, June 10-14, 2013 / [ed] Shlomo Berkovsky, Eelco Herder, Pasquale Lops & Olga C. Santos, CEUR-WS.org , 2013, Vol. 997, p. 9-16Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
CEUR-WS.org, 2013
Series
CEUR workshop proceedings, ISSN 1613-0073 ; 997
Keywords
Adaptive aective visualization, emotion-based adaptation, adaptive methods, human factors
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization; Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-25512 (URN)2-s2.0-84924365861 (Scopus ID)
Conference
1st International Workshop on User-Adaptive Visualization (WUAV '13), June 10-14, 2013, Rome
Available from: 2013-05-05 Created: 2013-05-05 Last updated: 2018-01-11Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-8585-3103

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