
Eye Gaze in Intelligent User Interfaces Gaze-based Analyses, Models and Applications
Başlık:
Eye Gaze in Intelligent User Interfaces Gaze-based Analyses, Models and Applications
Yazar:
Nakano, Yukiko I. editor.
ISBN:
9781447147848
Fiziksel Tanım:
X, 207 p. 84 illus., 71 illus. in color. online resource.
Contents:
Preface -- Introduction -- Part I: Gaze in Human Communication -- How Eye Gaze Feedback Changes Parent-child Joint Attention in Shared Storybook Reading: An Eye-tracking Intervention Study -- Shared Gaze in Situated Referential Grounding: An Empirical Study -- Automated Analysis of Mutual Gaze in Human Conversational Pairs -- Part II: Gaze-based Cognitive and Communicative Status Estimation -- REGARD: Remote Gaze-Aware Reference Detector -- Effectiveness of Gaze-based Engagement Estimation in Conversational Agents -- A Computational Approach for Prediction of Problem-solving Behavior using Support Vector Machines and Eye-tracking Data -- Part III: Gaze Awareness in HCI -- Gazing the Text for Fun and Profit -- Natural Gaze Behavior as Input Modality for Human-Computer Interaction -- Co-present or Not?: Embodiment, Situatedness and the Mona Lisa Gaze Effect -- Index.
Abstract:
Remarkable progress in eye-tracking technologies opened the way to design novel attention-based intelligent user interfaces, and highlighted the importance of better understanding of eye-gaze in human-computer interaction and human-human communication. For instance, a user’s focus of attention is useful in interpreting the user’s intentions, their understanding of the conversation, and their attitude towards the conversation. In human face-to-face communication, eye gaze plays an important role in floor management, grounding, and engagement in conversation. Eye Gaze in Intelligent User Interfaces draws on ideas from a number of contributors working on how attentional information can be applied to novel intelligent interfaces. Part I focuses on analyzing human eye gaze behaviors to reveal characteristics of human communication and cognition; Part II addresses estimation and prediction of the cognitive state of the users using gaze information; and Part III presents proposals of novel gaze-aware interfaces which integrate eye-trackers as a system component. The contributions highlight a direction for the future of human-computer interaction, and discuss issues in human attentional behaviors and face-to-face communication which are essential in designing gaze aware interactive interfaces.
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Electronic Access:
http://dx.doi.org/10.1007/978-1-4471-4784-8