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Titlebook: Human-Computer Interaction – INTERACT 2015; 15th IFIP TC 13 Inte Julio Abascal,Simone Barbosa,Marco Winckler Conference proceedings 2015 IF

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21#
發(fā)表于 2025-3-25 05:54:34 | 只看該作者
0302-9743 Conference on Human-Computer Interaction, INTERACT 2015, held in Bamberg, Germany, in September 2015..The 74 full and short papers and 4 organizational overviews, 2 panels, 6 tutorials, and 11 workshops included in the fourth volume are organized in topical sections on tangible and tactile interact
22#
發(fā)表于 2025-3-25 08:27:04 | 只看該作者
23#
發(fā)表于 2025-3-25 15:15:52 | 只看該作者
24#
發(fā)表于 2025-3-25 16:47:55 | 只看該作者
https://doi.org/10.1007/978-3-662-48499-9ional time and error metrics, but also in terms of a throughput measure based on Shannon’s theory, which we show offers a synthetic and parsimonious account of users’ performance. The results show that the larger the input vocabulary needed by the designer, the more promising the identification of individual fingers.
25#
發(fā)表于 2025-3-25 21:54:15 | 只看該作者
26#
發(fā)表于 2025-3-26 01:15:20 | 只看該作者
27#
發(fā)表于 2025-3-26 06:43:44 | 只看該作者
Glass+Skin: An Empirical Evaluation of the Added Value of Finger Identification to Basic Single-Touional time and error metrics, but also in terms of a throughput measure based on Shannon’s theory, which we show offers a synthetic and parsimonious account of users’ performance. The results show that the larger the input vocabulary needed by the designer, the more promising the identification of individual fingers.
28#
發(fā)表于 2025-3-26 10:37:44 | 只看該作者
Physical Playlist: Bringing Back the Mix-Tape, physical customizable jewellery that can once again embody values not generally attributed to digital content. Through a discussion of the design process and the results of preliminary evaluation, the potential benefits on the user experience of sharing digital content through physical objects have been highlighted.
29#
發(fā)表于 2025-3-26 15:16:18 | 只看該作者
30#
發(fā)表于 2025-3-26 19:37:58 | 只看該作者
,Child or Adult? Inferring Smartphone Users’ Age Group from Touch Measurements Alone, 99?% accuracy when using a window of 7+?consecutive touches. Our results establish that it is possible to reliably classify a smartphone user . as a . or an . with high accuracy using only basic data about their touches, and will inform new, automatically adaptive interfaces for touch-screen devices.
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