Contemporary choreographers often interact directly with dancers when exploring their ideas, but lack adequate tools for capturing and documenting their work. Although our first study of choreographers and dancers revealed diverse strategies for recording choreographic fragments, we found that they all worked in terms of constraints, which they represented via spatial diagrams, as movement qualities or with their own personal notation system. This led to the design of Knotation, a mobile pen-based tool that lets choreographers sketch their own representations of choreographic ideas and render them interactive. In study two, Knotation served as a technology probe to support the contrasting practices of three professional choreographers. We revised Knotation based on their input, and ran a third structured observation study with six professional choreographers. Knotation easily supported both dance-then-record and record-then-dance strategies. Participants used and appropriated Knotation's advanced features, including the combination of interactive timelines and floorplan diagrams, to represent and explore complex choreographic structures.
{"title":"Knotation: Exploring and Documenting Choreographic Processes","authors":"Marianela Ciolfi Felice, S. Alaoui, W. Mackay","doi":"10.1145/3173574.3174022","DOIUrl":"https://doi.org/10.1145/3173574.3174022","url":null,"abstract":"Contemporary choreographers often interact directly with dancers when exploring their ideas, but lack adequate tools for capturing and documenting their work. Although our first study of choreographers and dancers revealed diverse strategies for recording choreographic fragments, we found that they all worked in terms of constraints, which they represented via spatial diagrams, as movement qualities or with their own personal notation system. This led to the design of Knotation, a mobile pen-based tool that lets choreographers sketch their own representations of choreographic ideas and render them interactive. In study two, Knotation served as a technology probe to support the contrasting practices of three professional choreographers. We revised Knotation based on their input, and ran a third structured observation study with six professional choreographers. Knotation easily supported both dance-then-record and record-then-dance strategies. Participants used and appropriated Knotation's advanced features, including the combination of interactive timelines and floorplan diagrams, to represent and explore complex choreographic structures.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83220221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xinning Gui, Yubo Kou, Kathleen H. Pine, Elisa Ladaw, Harold Kim, Eli Suzuki-Gill, Yunan Chen
Crisis informatics has examined how institutions and individuals seek, communicate, and curate information in response to crises. The public's communication and perception of risks on social media remain understudied. In this study, we report a qualitative analysis of public perceptions of risks and risk management measures on Reddit during the Zika crisis, an emerging epidemic associated with high uncertainty regarding pathology, epidemiology, and broad consequences. We found two types of perceived risks: ones directly caused by the Zika virus, and ones potentially introduced by authorities' risk management measures. Risk perceptions unfolded along multiple dimensions beyond the imminent and personal level. Reddit users discussed in a speculative way to foresee various risks in the long run or at larger geographical scales. We discuss the multidimensionality and speculative nature of risk perception on social media, and derive implications for crisis informatics research and public health research and practice.
{"title":"Multidimensional Risk Communication: Public Discourse on Risks during an Emerging Epidemic","authors":"Xinning Gui, Yubo Kou, Kathleen H. Pine, Elisa Ladaw, Harold Kim, Eli Suzuki-Gill, Yunan Chen","doi":"10.1145/3173574.3173788","DOIUrl":"https://doi.org/10.1145/3173574.3173788","url":null,"abstract":"Crisis informatics has examined how institutions and individuals seek, communicate, and curate information in response to crises. The public's communication and perception of risks on social media remain understudied. In this study, we report a qualitative analysis of public perceptions of risks and risk management measures on Reddit during the Zika crisis, an emerging epidemic associated with high uncertainty regarding pathology, epidemiology, and broad consequences. We found two types of perceived risks: ones directly caused by the Zika virus, and ones potentially introduced by authorities' risk management measures. Risk perceptions unfolded along multiple dimensions beyond the imminent and personal level. Reddit users discussed in a speculative way to foresee various risks in the long run or at larger geographical scales. We discuss the multidimensionality and speculative nature of risk perception on social media, and derive implications for crisis informatics research and public health research and practice.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83297039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katja Rogers, Giovanni Ribeiro, Rina R. Wehbe, M. Weber, L. Nacke
Sound and virtual reality (VR) are two important output modalities for creating an immersive player experience (PX). While prior research suggests that sounds might contribute to a more immersive experience in games played on screens and mobile displays, there is not yet evidence of these effects of sound on PX in VR. To address this, we conducted a within-subjects experiment using a commercial horror-adventure game to study the effects of a VR and monitor-display version of the same game on PX. Subsequently, we explored, in a between-subjects study, the effects of audio dimensionality on PX in VR. Results indicate that audio has a more implicit influence on PX in VR because of the impact of the overall sensory experience and that audio dimensionality in VR may not be a significant factor contributing to PX. Based on our findings and observations, we provide five design guidelines for VR games.
{"title":"Vanishing Importance: Studying Immersive Effects of Game Audio Perception on Player Experiences in Virtual Reality","authors":"Katja Rogers, Giovanni Ribeiro, Rina R. Wehbe, M. Weber, L. Nacke","doi":"10.1145/3173574.3173902","DOIUrl":"https://doi.org/10.1145/3173574.3173902","url":null,"abstract":"Sound and virtual reality (VR) are two important output modalities for creating an immersive player experience (PX). While prior research suggests that sounds might contribute to a more immersive experience in games played on screens and mobile displays, there is not yet evidence of these effects of sound on PX in VR. To address this, we conducted a within-subjects experiment using a commercial horror-adventure game to study the effects of a VR and monitor-display version of the same game on PX. Subsequently, we explored, in a between-subjects study, the effects of audio dimensionality on PX in VR. Results indicate that audio has a more implicit influence on PX in VR because of the impact of the overall sensory experience and that audio dimensionality in VR may not be a significant factor contributing to PX. Based on our findings and observations, we provide five design guidelines for VR games.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82925640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Low-resolution (low-res) lighting displays are increasingly used by HCI researchers, designers, and in the industry as a versatile and aesthetic medium for deploying ambient interfaces in various contexts. These display types distinguish themselves from conventional high-res screens through: high contrasts, hi-power LED technology which allows visibility even in bright environments, and their ability to take on three-dimensional free forms. However, to date most work on low-res displays has been either of experimental nature or carried out in isolated industry contexts. This paper addresses this gap through an analysis of our own experiences from previous experimental design studies and related work, which led us to five domain challenges for designing low-res displays. We then describe how we approached these challenges in a deployment study, which involved the implementation of a prototype guided by a low-res prototyping toolkit. Based on an analysis of our design process and findings from the deployment study, we present ten design recommendations for low-res lighting displays.
{"title":"Understanding Artefact and Process Challenges for Designing Low-Res Lighting Displays","authors":"Marius Hoggenmüller, M. Tomitsch, A. Wiethoff","doi":"10.1145/3173574.3173833","DOIUrl":"https://doi.org/10.1145/3173574.3173833","url":null,"abstract":"Low-resolution (low-res) lighting displays are increasingly used by HCI researchers, designers, and in the industry as a versatile and aesthetic medium for deploying ambient interfaces in various contexts. These display types distinguish themselves from conventional high-res screens through: high contrasts, hi-power LED technology which allows visibility even in bright environments, and their ability to take on three-dimensional free forms. However, to date most work on low-res displays has been either of experimental nature or carried out in isolated industry contexts. This paper addresses this gap through an analysis of our own experiences from previous experimental design studies and related work, which led us to five domain challenges for designing low-res displays. We then describe how we approached these challenges in a deployment study, which involved the implementation of a prototype guided by a low-res prototyping toolkit. Based on an analysis of our design process and findings from the deployment study, we present ten design recommendations for low-res lighting displays.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83446899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent HCI research on social creativity and bottom-up innovation has highlighted how concerted efforts by the government policy and business communities to develop innovation ecosystems are increasingly intertwined with IT research and development. We note that many such efforts focus on cultivating regional advantage [20] in the form of innovation hubs that are situated in and leverage distinct sociocultural histories and geographies. Cultivating regional advantage entails achieving broad consensus about what that region's advantage might be, that is, the construction of a regional advantage imaginary beyond the policies, IT supports, and practices to make it happen. Here, we document how an ongoing public debate among makers and manufacturers in Taiwan as a region-distinguished by direct engagement with design, fabrication, prototyping, and manufacturing processes-are proposing pathways toward a regional advantage that both reflects Taiwan's recent sociocultural and economic histories and also its near future aspirations.
{"title":"Bottom-Up Imaginaries: The Cultural-Technical Practice of Inventing Regional Advantage through IT R&D","authors":"Guo Freeman, Shaowen Bardzell, Jeffrey Bardzell","doi":"10.1145/3173574.3173899","DOIUrl":"https://doi.org/10.1145/3173574.3173899","url":null,"abstract":"Recent HCI research on social creativity and bottom-up innovation has highlighted how concerted efforts by the government policy and business communities to develop innovation ecosystems are increasingly intertwined with IT research and development. We note that many such efforts focus on cultivating regional advantage [20] in the form of innovation hubs that are situated in and leverage distinct sociocultural histories and geographies. Cultivating regional advantage entails achieving broad consensus about what that region's advantage might be, that is, the construction of a regional advantage imaginary beyond the policies, IT supports, and practices to make it happen. Here, we document how an ongoing public debate among makers and manufacturers in Taiwan as a region-distinguished by direct engagement with design, fabrication, prototyping, and manufacturing processes-are proposing pathways toward a regional advantage that both reflects Taiwan's recent sociocultural and economic histories and also its near future aspirations.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90184116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pooja M. Desai, M. Levine, D. Albers, Lena Mamykina
Type 2 Diabetes Mellitus (T2DM) is a common chronic condition that requires management of one's lifestyle, including nutrition. Critically, patients often lack a clear understanding of how everyday meals impact their blood glucose. New predictive analytics approaches can provide personalized mealtime blood glucose forecasts. While communicating forecasts can be challenging, effective strategies for doing so remain little explored. In this study, we conducted focus groups with 13 participants to identify approaches to visualizing personalized blood glucose forecasts that can promote diabetes self-management and understand key styles and visual features that resonate with individuals with diabetes. Focus groups demonstrated that individuals rely on simple heuristics and tend to take a reactive approach to their health and nutrition management. Further, the study highlighted the need for simple and explicit, yet information-rich design. Effective visualizations were found to utilize common metaphors alongside words, numbers, and colors to convey a sense of authority and encourage action and learning.
{"title":"Pictures Worth a Thousand Words: Reflections on Visualizing Personal Blood Glucose Forecasts for Individuals with Type 2 Diabetes","authors":"Pooja M. Desai, M. Levine, D. Albers, Lena Mamykina","doi":"10.1145/3173574.3174112","DOIUrl":"https://doi.org/10.1145/3173574.3174112","url":null,"abstract":"Type 2 Diabetes Mellitus (T2DM) is a common chronic condition that requires management of one's lifestyle, including nutrition. Critically, patients often lack a clear understanding of how everyday meals impact their blood glucose. New predictive analytics approaches can provide personalized mealtime blood glucose forecasts. While communicating forecasts can be challenging, effective strategies for doing so remain little explored. In this study, we conducted focus groups with 13 participants to identify approaches to visualizing personalized blood glucose forecasts that can promote diabetes self-management and understand key styles and visual features that resonate with individuals with diabetes. Focus groups demonstrated that individuals rely on simple heuristics and tend to take a reactive approach to their health and nutrition management. Further, the study highlighted the need for simple and explicit, yet information-rich design. Effective visualizations were found to utilize common metaphors alongside words, numbers, and colors to convey a sense of authority and encourage action and learning.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89458617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, we present Coco's Videos, a video-viewing platform for preschoolers designed to support them in learning to self-manage their media consumption. We report results from a three-week experimental deployment in 24 homes in which preschoolers used three different versions of the platform: one that is neutral to the limits they set, one that enforces the limits they set, and one that attempts to erode the limits they set by automatically playing additional content after the planned content is finished ("post-play"). We found that post-play significantly reduced children's autonomy and likelihood of self-regulation, extended video-viewing time, and led to increases in parent intervention. We found that the lock-out mechanism did not reduce video-viewing time or the likelihood of parent intervention. Together, our results suggest that avoiding platforms that work to undermine the user's intentions is more likely to help children self-regulate their media use than rigid parental controls.
{"title":"Coco's Videos: An Empirical Investigation of Video-Player Design Features and Children's Media Use","authors":"Alexis Hiniker, Sharon Heung, S. Hong, J. Kientz","doi":"10.1145/3173574.3173828","DOIUrl":"https://doi.org/10.1145/3173574.3173828","url":null,"abstract":"In this study, we present Coco's Videos, a video-viewing platform for preschoolers designed to support them in learning to self-manage their media consumption. We report results from a three-week experimental deployment in 24 homes in which preschoolers used three different versions of the platform: one that is neutral to the limits they set, one that enforces the limits they set, and one that attempts to erode the limits they set by automatically playing additional content after the planned content is finished (\"post-play\"). We found that post-play significantly reduced children's autonomy and likelihood of self-regulation, extended video-viewing time, and led to increases in parent intervention. We found that the lock-out mechanism did not reduce video-viewing time or the likelihood of parent intervention. Together, our results suggest that avoiding platforms that work to undermine the user's intentions is more likely to help children self-regulate their media use than rigid parental controls.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89502924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huaishu Peng, Jimmy Briggs, Cheng-Yao Wang, Kevin Guo, Joseph T. Kider, Stefanie Mueller, Patrick Baudisch, François Guimbretière
We present the Robotic Modeling Assistant (RoMA), an interactive fabrication system providing a fast, precise, hands-on and in-situ modeling experience. As a designer creates a new model using RoMA AR CAD editor, features are constructed concurrently by a 3D printing robotic arm sharing the same design volume. The partially printed physical model then serves as a tangible reference for the designer as she adds new elements to her design. RoMA's proxemics-inspired handshake mechanism between the designer and the 3D printing robotic arm allows the designer to quickly interrupt printing to access a printed area or to indicate that the robot can take full control of the model to finish printing. RoMA lets users integrate real-world constraints into a design rapidly, allowing them to create well-proportioned tangible artifacts or to extend existing objects. We conclude by presenting the strengths and limitations of our current design.
我们介绍了机器人建模助手(RoMA)，一个交互式制造系统，提供快速，精确，动手和现场建模体验。当设计师使用RoMA AR CAD编辑器创建新模型时，功能由共享相同设计体积的3D打印机械臂同时构建。当设计师在设计中添加新元素时，部分打印的物理模型可以作为有形的参考。设计师和3D打印机械臂之间的握手机制，设计师可以快速中断打印以进入打印区域，或者指示机器人可以完全控制模型以完成打印。RoMA允许用户将现实世界的约束快速集成到设计中，允许他们创建比例合理的有形工件或扩展现有对象。最后，我们将介绍当前设计的优点和局限性。
{"title":"RoMA: Interactive Fabrication with Augmented Reality and a Robotic 3D Printer","authors":"Huaishu Peng, Jimmy Briggs, Cheng-Yao Wang, Kevin Guo, Joseph T. Kider, Stefanie Mueller, Patrick Baudisch, François Guimbretière","doi":"10.1145/3173574.3174153","DOIUrl":"https://doi.org/10.1145/3173574.3174153","url":null,"abstract":"We present the Robotic Modeling Assistant (RoMA), an interactive fabrication system providing a fast, precise, hands-on and in-situ modeling experience. As a designer creates a new model using RoMA AR CAD editor, features are constructed concurrently by a 3D printing robotic arm sharing the same design volume. The partially printed physical model then serves as a tangible reference for the designer as she adds new elements to her design. RoMA's proxemics-inspired handshake mechanism between the designer and the 3D printing robotic arm allows the designer to quickly interrupt printing to access a printed area or to indicate that the robot can take full control of the model to finish printing. RoMA lets users integrate real-world constraints into a design rapidly, allowing them to create well-proportioned tangible artifacts or to extend existing objects. We conclude by presenting the strengths and limitations of our current design.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89943588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luis A. Leiva, Daniel Martín-Albo, R. Plamondon, Radu-Daniel Vatavu
We introduce KeyTime, a new technique and accompanying software for predicting the production times of users' stroke gestures articulated on touchscreens. KeyTime employs the principles and concepts of the Kinematic Theory, such as lognormal modeling of stroke gestures' velocity profiles, to estimate gesture production times significantly more accurately than existing approaches. Our experimental results obtained on several public datasets show that KeyTime predicts user-independent production times that correlate r=.99 with groundtruth from just one example of a gesture articulation, while delivering an average error in the predicted time magnitude that is 3 to 6 times smaller than that delivered by CLC, the best prediction technique up to date. Moreover, KeyTime reports a wide range of useful statistics, such as the trimmed mean, median, standard deviation, and confidence intervals, providing practitioners with unprecedented levels of accuracy and sophistication to characterize their users' a priori time performance with stroke gesture input.
{"title":"KeyTime: Super-Accurate Prediction of Stroke Gesture Production Times","authors":"Luis A. Leiva, Daniel Martín-Albo, R. Plamondon, Radu-Daniel Vatavu","doi":"10.1145/3173574.3173813","DOIUrl":"https://doi.org/10.1145/3173574.3173813","url":null,"abstract":"We introduce KeyTime, a new technique and accompanying software for predicting the production times of users' stroke gestures articulated on touchscreens. KeyTime employs the principles and concepts of the Kinematic Theory, such as lognormal modeling of stroke gestures' velocity profiles, to estimate gesture production times significantly more accurately than existing approaches. Our experimental results obtained on several public datasets show that KeyTime predicts user-independent production times that correlate r=.99 with groundtruth from just one example of a gesture articulation, while delivering an average error in the predicted time magnitude that is 3 to 6 times smaller than that delivered by CLC, the best prediction technique up to date. Moreover, KeyTime reports a wide range of useful statistics, such as the trimmed mean, median, standard deviation, and confidence intervals, providing practitioners with unprecedented levels of accuracy and sophistication to characterize their users' a priori time performance with stroke gesture input.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85888230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhe Liu, Anbang Xu, Yufan Guo, J. Mahmud, Haibin Liu, R. Akkiraju
Successful human interactions are based on becoming aware of other's emotion and making adaptations accordingly. However, understanding emotion is a complex task that has generated countless debates among researchers over the past decades. The abstract nature of human emotion highlights the need for a new data-driven approach that can better describe and compare across fine-grained emotional states. In this study, we propose Seemo, a novel neural embedding framework, which allows us to map human emotions into vector space representations. Seemo is trained using Twitter data and is evaluated on two fundamental use cases in traditional emotion research: determining the underlying dimensions of emotions and identifying the set of basic emotions. The evaluation reveals that on both tasks Seemo can generate results consistent with the mainstream theories. Results also show that the vector space representation of Seemo can effectively decode the important relationships between emotions that were usually not explicitly presented.
{"title":"Seemo: A Computational Approach to See Emotions","authors":"Zhe Liu, Anbang Xu, Yufan Guo, J. Mahmud, Haibin Liu, R. Akkiraju","doi":"10.1145/3173574.3173938","DOIUrl":"https://doi.org/10.1145/3173574.3173938","url":null,"abstract":"Successful human interactions are based on becoming aware of other's emotion and making adaptations accordingly. However, understanding emotion is a complex task that has generated countless debates among researchers over the past decades. The abstract nature of human emotion highlights the need for a new data-driven approach that can better describe and compare across fine-grained emotional states. In this study, we propose Seemo, a novel neural embedding framework, which allows us to map human emotions into vector space representations. Seemo is trained using Twitter data and is evaluated on two fundamental use cases in traditional emotion research: determining the underlying dimensions of emotions and identifying the set of basic emotions. The evaluation reveals that on both tasks Seemo can generate results consistent with the mainstream theories. Results also show that the vector space representation of Seemo can effectively decode the important relationships between emotions that were usually not explicitly presented.","PeriodicalId":20512,"journal":{"name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88299495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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