%0 Book %1 springer2018immersive %A Marriott, K. %A Schreiber, F. %A Dwyer, T. %A Klein, K. %A Henry Riche, N. %A Itoh, T. %A Stuerzlinger, W. %A Thomas, B. H. %B Lecture Notes in Computer Science (LNCS) %D 2018 %E Springer, %I Springer International Publishing %K 2018 D04 sfbtrr161 %R 10.1007/978-3-030-01388-2 %T Immersive Analytics %U https://doi.org/10.1007/978-3-030-01388-2 %V 11190 %X Immersive Analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. Here the aims of immersive analytics research are clarified, its opportunities and historical context, as well as providing a broad research agenda for the field. In addition, it is reviewed how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research. %@ 978-3-030-01388-2

@book{springer2018immersive, abstract = {Immersive Analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. Here the aims of immersive analytics research are clarified, its opportunities and historical context, as well as providing a broad research agenda for the field. In addition, it is reviewed how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research.}, added-at = {2020-03-06T14:57:04.000+0100}, author = {Marriott, K. and Schreiber, F. and Dwyer, T. and Klein, K. and Henry Riche, N. and Itoh, T. and Stuerzlinger, W. and Thomas, B. H.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/279d411a3f17f334f3b2979b3c67c8b99/leonkokkoliadis}, doi = {10.1007/978-3-030-01388-2}, editor = {Springer}, interhash = {c2ad62204a5b84b596b47edf8e195357}, intrahash = {79d411a3f17f334f3b2979b3c67c8b99}, isbn = {978-3-030-01388-2}, keywords = {2018 D04 sfbtrr161}, publisher = {Springer International Publishing}, series = {Lecture Notes in Computer Science (LNCS)}, timestamp = {2020-03-06T13:57:04.000+0100}, title = {Immersive Analytics}, url = {https://doi.org/10.1007/978-3-030-01388-2}, volume = 11190, year = 2018 }