Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)最新文献
Marta Castañer, C. Torrents, Gaspar Morey, M. Anguera, Toni Jofre
{"title":"Appraising the aesthetics of human movement: an application to contemporary dance using a motion capture system","authors":"Marta Castañer, C. Torrents, Gaspar Morey, M. Anguera, Toni Jofre","doi":"10.1145/1931344.1931360","DOIUrl":"https://doi.org/10.1145/1931344.1931360","url":null,"abstract":"The present study describes a way of appraising the aesthetic meaning of dance motor skills generated by professional modern dancers. Using a motion capture system (Vicon MX), both real images and 3D stick figures were simultaneously obtained from 96 trials of dance motor skills performed by four experienced contemporary dancers. Subsequently, 101 students of Physical Activity and Sport Sciences used semantic differentials to appraise the aesthetic value of each type of motor dance skill, comparing the virtual and real images of dancers.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"96 1","pages":"16:1-16:3"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75705767","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}
K. D. Barbaro, Christine M. Johnson, Deborah Forster, G. Deák
{"title":"Temporal dynamics of multimodal multiparty interactions: a microgenesis of early social interaction","authors":"K. D. Barbaro, Christine M. Johnson, Deborah Forster, G. Deák","doi":"10.1145/1931344.1931380","DOIUrl":"https://doi.org/10.1145/1931344.1931380","url":null,"abstract":"This project characterizes the development of early social interactions in a longitudinal sample of mothers and their infants. To do this we track the interaction in as a temporal configuration of multimodal, multiparty components, coding a total of 14 dimensions at each frame. Our final goal is to develop methods which we can use to systematically document regularities in the way attention gets organized longitudinally in a large sample of mother-infant dyads. Coding systematically at this scale allows us to ground a developmental account of early social interaction. For this project, we developed 1) ways to reduce the labor intensity of coding frame-by-frame multidimensional data over the entire sample and 2)ways of quantifying complex configural regularities across our sample.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"10 1","pages":"36:1-36:3"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87627614","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}
Marília Felismino, R. Luiz, M. Castela, Pedro Marques
{"title":"Optimization of user satisfaction on an augmented reality based guided tour","authors":"Marília Felismino, R. Luiz, M. Castela, Pedro Marques","doi":"10.1145/1931344.1931387","DOIUrl":"https://doi.org/10.1145/1931344.1931387","url":null,"abstract":"This paper reports on work being conducted with the goal of optimizing users' satisfaction on an augmented reality based guided tour. It shows the applied methodology, the metrics used to assess the quality of the user experience and the results obtained from the statistical analysis of the experimental results. We stereotyped users by considering whether or not they had a background related to information technologies, and compared their behavior patterns. Next, we evaluated how social inhibition would affect the way users' interacted with the applications. We then tested for correlations between several measured metrics and users' satisfaction answers, in order to acquire knowledge such as: the influence that the ease of use had in users' satisfaction; whether the time that users spend interacting with the Interactive Installations (I.I.) directly influenced their satisfaction; and others. Finally, we analyzed the influence that the relative visit order of each I.I. in the guided tour had on the users' satisfaction, and found an optimal sequence in which to present I.I.s to visitors, so as to provide them with the most pleasant possible experience.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"55 1","pages":"43:1-43:5"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86907849","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}
{"title":"Measurement of feet-ground interaction for real-time person localization, step characterization, and gaming","authors":"C. Varekamp, P. Vandewalle","doi":"10.1145/1931344.1931389","DOIUrl":"https://doi.org/10.1145/1931344.1931389","url":null,"abstract":"We introduce a setup for detailed and unobtrusive feet mapping in a room. Two cameras arranged in a stereo pair detect when an object touches ground by analyzing the occlusions on a fluorescent tape that is attached to the baseboard of a room. The disparity between both cameras allows localization of a person's feet and the calculation of step size and walking speed. People are separated from furniture such as chairs and tables by studying the occlusion duration. We present and discuss data-association and filtering algorithms and the algorithms that are needed for presence detection, step characterization and gaming.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"47 1","pages":"45:1-45:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76655872","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}
Hueihan Jhuang, Estíbaliz Garrote, N. Edelman, T. Poggio, Andrew D. Steele, Thomas Serre
{"title":"Trainable, vision-based automated home cage behavioral phenotyping","authors":"Hueihan Jhuang, Estíbaliz Garrote, N. Edelman, T. Poggio, Andrew D. Steele, Thomas Serre","doi":"10.1145/1931344.1931377","DOIUrl":"https://doi.org/10.1145/1931344.1931377","url":null,"abstract":"We describe a fully trainable computer vision system enabling the automated analysis of complex mouse behaviors. Our system computes a sequence of feature descriptors for each video sequence and a classifier is used to learn a mapping from these features to behaviors of interest. We collected a very large manually annotated video database of mouse behaviors for training and testing the system. Our system performs on par with human scoring, as measured from the ground-truth manual annotations of thousands of clips of freely behaving mice. As a validation of the system, we characterized the home cage behaviors of two standard inbred and two nonstandard mouse strains. From this data, we were able to predict the strain identity of individual mice with high accuracy.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"26 1","pages":"33:1-33:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78308162","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}
J. Krajewski, T. Schnupp, S. Schnieder, D. Sommer, C. Heinze, M. Golz
{"title":"Pattern recognition methods: a novel analysis for the pupillographic sleepiness test","authors":"J. Krajewski, T. Schnupp, S. Schnieder, D. Sommer, C. Heinze, M. Golz","doi":"10.1145/1931344.1931369","DOIUrl":"https://doi.org/10.1145/1931344.1931369","url":null,"abstract":"The aim of this paper is to improve the information gained by the most commonly applied fit-for-duty sleepiness test (Pupillographic Sleepiness test, PST) by using pattern recognition approaches. The pupil diameter based sleepiness detection is enriched by several new features and machine learning methods. Using all newly computed pupil diameter features we achieved on the two-class detection problem (moderate sleepiness vs. high sleepiness) an accuracy of 83.03% on participant-dependent data with a Random Forest classifier. This result suggested that the PST-standard feature set should be enriched by the here proposed enlarged feature set.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"23 1 1","pages":"25:1-25:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91293547","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}
{"title":"Automatic recognition of lower facial action units","authors":"Isabel Gonzalez, H. Sahli, W. Verhelst","doi":"10.1145/1931344.1931352","DOIUrl":"https://doi.org/10.1145/1931344.1931352","url":null,"abstract":"The face is an important source of information in multimodal communication. Facial expressions are generated by contractions of facial muscles, which lead to subtle changes in the area of the eyelids, eye brows, nose, lips and skin texture, often revealed by wrinkles and bulges. To measure these subtle changes, Ekman et al.[5] developed the Facial Action Coding System (FACS). FACS is a human-observer-based system designed to detect subtle changes in facial features, and describes facial expressions by action units (AUs). We present a technique to automatically recognize lower facial Action Units, independently from one another. Even though we do not explicitly take into account AU combinations, thereby making the classification process harder, an average F1 score of 94.83% is achieved.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"220 1","pages":"8:1-8:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80081402","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}
{"title":"A framework to measure user experience of interactive online products","authors":"Katrin Schulze, Heidi Krömker","doi":"10.1145/1931344.1931358","DOIUrl":"https://doi.org/10.1145/1931344.1931358","url":null,"abstract":"Over the past years, User eXperience (UX) research in the academic community has created various approaches to UX evaluation frameworks. However, industry adopted these approaches rather vaguely into product development. Due to this existing gap between research academics and companies, this paper concerns the question of how UX evaluation can be integrated into the software engineering process of interactive online products. Therefore, influencing factors that need to be measured, including human and system aspects, emotions, a spatiotemporal dimension and motivation, were analyzed. In order to evaluate these factors transparently and to link UX factors to actual product functionalities, existing evaluation methods to collect qualitative and quantitative user data were selected and joint to an evaluation method set. First experiences of using the UX framework and this method set by means of a new web-community concept will be outlined and discussed.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"21 1","pages":"14:1-14:5"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81741827","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}
{"title":"DataPrism: a tool for visualizing multimodal data","authors":"Adam Fouse, James Hollan","doi":"10.1145/1931344.1931345","DOIUrl":"https://doi.org/10.1145/1931344.1931345","url":null,"abstract":"We present DataPrism, a new interactive visualization tool to aid analysis of multimodal activity data. DataPrism enables analysts to visualize, annotate, and link multiple time-based data streams, including video, log files, and paper-based digital notes. Automated analysis is supported through a plug-in mechanism. A usage scenario is employed to describe DataPrism's current facilities.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"10 1","pages":"1:1-1:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86448652","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}
{"title":"Requirements for measuring the success of persuasive technology applications","authors":"H. Oinas-Kukkonen","doi":"10.1145/1931344.1931355","DOIUrl":"https://doi.org/10.1145/1931344.1931355","url":null,"abstract":"The area of ambient persuasive technology looks very promising in multiple ways. Yet, it also faces with challenges. Thus far the major weakness in research into ambient persuasive technology has been that the behavior change support systems have been described in such a coarse manner that it has been very difficult to demonstrate what actually caused the change, or to generalize the findings. This paper will discuss prerequisites for successful measuring of ambient persuasive technology. The O/C Matrix and the PSD Model are suggested as vehicles to better frame the research. These methodological research aids can be used in a variety of research and development settings ranging from studying full-fledged commercial systems to evaluating software specifications for systems under development.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"323 1","pages":"11:1-11:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78397067","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}