By Yukiko I. Nakano (auth.), Yukiko I. Nakano, Cristina Conati, Thomas Bader (eds.)
Remarkable development in eye-tracking applied sciences opened tips on how to layout novel attention-based clever person interfaces, and highlighted the significance of higher knowing of eye-gaze in human-computer interplay and human-human verbal exchange. for example, a user’s concentration of realization turns out to be useful in studying the user’s intentions, their realizing of the dialog, and their angle in the direction of the dialog. In human face-to-face communique, eye gaze performs an enormous function in ground administration, grounding, and engagement in conversation.
Eye Gaze in clever person Interfaces attracts on principles from a few members engaged on how attentional info might be utilized to novel clever interfaces. half I specializes in reading human eye gaze behaviors to bare features of human verbal exchange and cognition; half II addresses estimation and prediction of the cognitive nation of the clients utilizing gaze info; and half III provides proposals of novel gaze-aware interfaces which combine eye-trackers as a process part. The contributions spotlight a path for the way forward for human-computer interplay, and speak about matters in human attentional behaviors and face-to-face verbal exchange that are crucial in designing gaze acutely aware interactive interfaces.
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Extra info for Eye Gaze in Intelligent User Interfaces: Gaze-based Analyses, Models and Applications
The role of eye-gaze in reference resolution in multimodal conversational interfaces. In: Proceedings of the 13th international conference on intelligent user interfaces. ACM, New York, pp 20–29 Prasov Z, Chai JY (2010) Fusing eye gaze with speech recognition hypotheses to resolve exophoric references in situated dialogue. In: Conference on empirical methods in natural language processing (EMNLP), pp 471–481 Prasov Z, Chai JY, Jeong H (2007) Eye gaze in attention prediction in multimodal human machine conversation.
Liu et al. In situated dialogue, although an artificial agent and its partner (a human or a proxy controlled by a human) are co-present in a shared environment, they have significantly mismatched capabilities in perceiving the environment. The mismatched perceptions of the shared surroundings have a massive influence on the interaction between the human and the agent. For example, if the human refers to something in the environment which the robot cannot perceive correctly, referential grounding becomes more challenging.
G. “in the middle of the top row is a small key named David”. g. “the left, ah, upper there is a coffee cup named Ryan”. By properly issuing one of the three types of spatial descriptions based on the situation in hand, it can uniquely identify those objects with perceptual errors, which otherwise would be impossible or ambiguous to be referred using object-property based descriptions. Therefore, under the situation of mismatched views, spatial language becomes the most reliable and effortless channel to establish common ground.