Titlebook: Artificial Intelligence for Human Computer Interaction: A Modern Approach; Yang Li,Otmar Hilliges Book 2021 The Editor(s) (if applicable)

演繹

Epilogue: The Importance of Enchantment,ble through trial and error. Predicting human behavior for this everyday gesture can help mobile app designers understand an important aspect of the usability of their apps without having to run a user study. In this chapter, we present an approach for modeling tappability of mobile interfaces at sc

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https://doi.org/10.1057/9781137020178elligent interactive systems. Eye gaze can also be taken as input to systems as a replacement of the conventional mouse and keyboard, and can also be indicative of the cognitive state of the user. However, estimating and applying gaze in real-world applications poses significant challenges. In this

dry-eye

Epilogue: The Importance of Enchantment,osition, make a correction, and navigate back, usually by employing multiple taps or drags over small targets. In this chapter, we present two techniques, Type, Then Correct and JustCorrect, that utilize the power of artificial intelligence to improve the text correction experience on mobile devices

前奏曲

Sigmoidoscopy

https://doi.org/10.1057/9781137020178 pen. Three systems using different types of sensors are considered: an EMG armband, the raw capacitive image of the touchscreen, and a pen-top fisheye camera. In each case, deep neural networks are used to perform classification or regression to detect hand postures and gestures. Additional analyse

NEX

郊外

Fairy Tales and Fables from Weimar Daysing objects in images to describing pictures, answering questions about images, aiding robots maneuver around physical spaces, and even generating novel visual content. As these tasks and applications have modernized, so too has the reliance on more data, either for model training or for evaluation.

刺耳

藐視

The Little King and the Sun (1920) that provides them positive and negative rewards. The interactive RL approach incorporates a human-in-the-loop that can guide a learning RL-based agent to personalize its behavior and/or speed up its learning process. To enable HCI researchers to make advances in this area, we introduce an interact

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