Kjell Ivar Øvergård

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Capacitive multi-touch displays are not designed to detect passive objects placed on them-in fact, these systems usually contain filters to actively reject such touch data. We present a technical analysis of this problem and introduce Passive Untouched Capacitive Widgets (PUCs). Unlike previous approaches, PUCs do not require power, they can be made(More)
Tangible objects on capacitive multi-touch surfaces are usually only detected while the user is touching them. When the user lets go of such a tangible, the system cannot distinguish whether the user just released the tangible, or picked it up and removed it from the surface. We introduce PERCs, persistent capacitive tangibles that "know" whether they are(More)
Several studies have documented the occurrence of high ventilation rates during cardiopulmonary resuscitation, but to date, there have been no scientific investigation of the causes of hyperventilation. The objective of the current study was to test the effects of socio-emotional stressors on lay rescuers' ventilation rate in a simulated resuscitation(More)
We present an experimental comparison of tangible rotary knobs and touch-based virtual knobs in three output conditions: eyes-on, eyes-free, and peripheral. Twenty participants completed a simple rotation task on a interactive surface with four different input techniques (two tangibles and two virtual touch widgets) in the three output conditions,(More)
Capacitive multi-touch displays are designed to detect touches from fingers that often change the location. This is quite the opposite of our goal: detect passive objects placed on them. In fact, these systems usually contain filters to actively reject such inactive input data. We present a technical analysis of this problem and introduce Passive Untouched(More)
In this work, a hierarchical population-based memetic algorithm for solving the satisfiability problem is presented. The approach suggests looking at the evolution as a hierarchical process evolving from a coarse population where the basic unit of a gene is composed of cluster of variables that represent the problem to a fine population where each gene(More)
KEYWORDS Maximum satisfiability problem, Multilevel paradigm. ABSTRACT Evolutionary Algorithms have become an efficient tool to simulate large and complex systems that require a huge amount of computational resources. Nevertheless , evolutionary algorithms may still suffer from either slow or premature convergence preventing the search to visit more(More)