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- W2019547100 abstract "The way we grasp an object depends on several factors, e.g. the intended goal or the hand's anatomy. Therefore, a grasp can convey meaningful information about its context. Inferring these factors from a grasp allows us to enhance interaction with grasp-sensitive objects. This paper highlights an grasp as an important source of meaningful context for human-computer interaction and gives an overview of prior work from other disciplines. This paper offers a basis and framework for further research and discussion by proposing a descriptive model of meaning in grasps. The GRASP model combines five factors that determine how an object is grasped: goal, relationship between user and object, anatomy, setting, and properties of the object. The model is validated both from an epistemological perspective and by applying it to scenarios from related work." @default.
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- W2019547100 date "2010-01-22" @default.
- W2019547100 modified "2023-10-18" @default.
- W2019547100 title "Grasp sensing for human-computer interaction" @default.
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- W2019547100 doi "https://doi.org/10.1145/1935701.1935745" @default.
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