@inproceedings{a0228aaeadd34d44aa7ff557ce204fb5,
title = "Physical loci: Leveraging spatial, object and semantic memory for command selection",
abstract = "Physical Loci, a technique based on an ancient memory technique, allows users to quickly learn a large command set by leveraging spatial, object and verbal/semantic memory to create a cognitive link between individual commands and nearby physical objects in a room (called loci). We first report on an experiment that showed that for learning 25 items Physical Loci outperformed a mid-air Marking Menu baseline. A long-term retention experiment with 48 items then showed that recall was nearly perfect one week later and, surprisingly, independent of whether the command/locus mapping was one's own choice or somebody else's. A final study suggested that recall performance is robust to alterations of the learned mapping, whether systematic or random.",
keywords = "Association, Command selection, Input, Memorization, Method of loci, Mnemonic device, Spatial memory",
author = "Perrault, \{Simon T.\} and Eric Lecolinet and Bourse, \{Yoann Pascal\} and Shengdong Zhao and Yves Guiard",
note = "Publisher Copyright: {\textcopyright} Copyright 2015 ACM.; 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015 ; Conference date: 18-04-2015 Through 23-04-2015",
year = "2015",
month = apr,
day = "18",
doi = "10.1145/2702123.2702126",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "299--308",
booktitle = "CHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems",
}