Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
In this paper we describe a field trial designed to investigate the potential of remote, situated messaging within the home. Five households used our “HomeNote” device for app...
Abigail Sellen, Richard H. R. Harper, Rachel Eardl...
Aggressive software speculation holds significant potential, because it enables program transformations to reduce the program’s critical path. Like any form of speculation, how...
Many of existing criteria for evaluating web sites quality require methods such as heuristic evaluations, or/and empirical usability tests. This paper aims at defining a quality m...
Numerical simulations of re-entrant waves in detailed ionic models reveal a phenomenon that is impossible in traditional simplified mathematical models of FitzHugh-Nagumo type: di...