The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
We present the results of a qualitative study of the sharing and consumption of entertainment media on low-cost mobile phones in urban India, a practice which has evolved into a v...
Thomas N. Smyth, Satish Kumar, Indrani Medhi, Kent...
Many tasks require attention switching. For example, searching for information on one sheet of paper and then entering this information onto another one. With paper we see that pe...
The impact of interruptions on workflow and productivity has been extensively studied in the PC domain, but while fragmented user attention is recognized as an inherent aspect of ...
Amy K. Karlson, Shamsi T. Iqbal, Brian Meyers, Gon...
CT This paper presents results from a study examining perceptions and practices of usability in the free/open source software (FOSS) community. 27 individuals associated with 11 di...