000 | 01651nam a2200217Ia 4500 | ||
---|---|---|---|
003 | NULRC | ||
005 | 20250520103023.0 | ||
008 | 250520s9999 xx 000 0 und d | ||
020 | _a9781108792707 | ||
040 | _cNULRC | ||
050 | _aTA 167 .B39 2022 | ||
245 | 0 |
_aBayesian methods for interaction and design / _cedited by John H. Williamson [and three others] |
|
260 |
_aCambridge, United Kingdom : _bCambridge University Press, _cc2022 |
||
300 |
_axii, 360 pages : _billustrations ; _c24 cm. |
||
365 | _bUSD37 | ||
505 | _aBayseian statistics / A. Dix -- Bayseian information gain to design interaction / W. Liu, O. Rioul, M Beaudouin-Lafon -- Bayseian command selection / S. Zhu, X. Fan, F. Tian, X. Bi. | ||
520 | _aIntended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. | ||
650 | _aHUMAN ENGINEERING -- MATHEMATICS | ||
700 |
_aWilliamson, John H. ;Oulasvirta, Antti ;Kristensson, Per Ola ;Banovic, Nikola _eeditor;editor;editor;editor |
||
942 |
_2lcc _cBK |
||
999 |
_c21533 _d21533 |