{"title":"A widget library for gaze-based interaction elements","authors":"W. Beinhauer","doi":"10.1145/1117309.1117338","DOIUrl":"https://doi.org/10.1145/1117309.1117338","url":null,"abstract":"Eye-control as an interaction mechanism for desktop computers was proposed already long time ago (e.g.; [Bolt 1982]). However, few systematic approaches to universal design guidelines and interaction elements for gaze-controlled user interfaces have been made. Graphical user interfaces comprise of two components: first, a pointing device, and secondly, the graphical interface itself, where the pointing device is sliding on and triggers actions. Whereas a lot of research work has focused on the pointing device, such as eye tracking hardware, improvements of the calibration process and measuring accuracy, the design of an appropriate user interface optimized for gaze control has not been covered extensively so far.","PeriodicalId":440675,"journal":{"name":"Proceedings of the 2006 symposium on Eye tracking research & applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126870761","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}
L. H. Canto-Pereira, Breno Santos, E. Morya, C. Morimoto, R. Ranvaud
{"title":"The relation of eye fixation patterns with emotional content and episodic memory","authors":"L. H. Canto-Pereira, Breno Santos, E. Morya, C. Morimoto, R. Ranvaud","doi":"10.1145/1117309.1117335","DOIUrl":"https://doi.org/10.1145/1117309.1117335","url":null,"abstract":"The focus of visual attention is closely related to eye movements and fixations, while episodic memory has been defined as the ability to be consciously aware of an earlier experience [Bond, 2005]. The role of emotional content plays a crucial role in the ability of recalling a previous event. Here we investigate eye fixation patterns and their spatial distribution using ordinary kriging, a geostatistical interpolation method [Canto-Pereira et al., 2005], in a task where emotion and episodic memory were assessed.","PeriodicalId":440675,"journal":{"name":"Proceedings of the 2006 symposium on Eye tracking research & applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116843276","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":"Optical eye models for gaze tracking","authors":"J. Mulligan","doi":"10.1145/1117309.1117336","DOIUrl":"https://doi.org/10.1145/1117309.1117336","url":null,"abstract":"The traditional \"bottom-up\" approach to video gaze tracking consists of measuring image features, such as the position of the pupil, corneal reflex, limbus, etc. These measurements are mapped to gaze angles using coefficients obtained from calibration data, collected as a cooperative subject voluntarily fixates a series of known targets. This may be contrasted with a \"top-down\" approach in which the pose parameters of a model of the eye are adjusted in conjunction with a camera model to obtain a match to image data. One advantage of the model-based approach is provided by robustness to changes in geometry, in particular the disambiguation of translation and rotation. A second advantage is that the pose estimates obtained are in absolute angular units (e.g., degrees); traditional calibration serves only to determine the relation between the visual and optical axes, and provide a check for the model. While traditional grid calibration methods may not need to be applied, a set of views of the eye in a variety of poses is needed to determine the model parameters for an individual. When relative motion between the head and the camera is eliminated (as with a head-mounted camera), the model parameters can be determined from as few as two images. A single point calibration is required to determine the angular offset between the line-of-sight and the observed optical axis.","PeriodicalId":440675,"journal":{"name":"Proceedings of the 2006 symposium on Eye tracking research & applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128461534","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}