Attention management refers to models and tools for supporting the management of attention at the individual or at the collective level (cf. attention economy), and at the short-term (quasi real time) or at a longer term (over periods of weeks or months). The ability to control distractions and stay focused is essential to produce higher quality results. A research conducted by Stanford shows that single-tasking is more effective and productive than multi-tasking. Different studies have been conducted in using Information and Communications Technology (ICT) for supporting attention, and in particular, models have been elaborated for supporting attention. The scarcity of attention is the underlying assumption for attention management; the researcher Herbert A. Simon pointed out that when there is a vast availability of information, attention becomes the more scarce resource as human beings cannot digest all the information. Fundamentally, attention is limited by the processing power of the brain. Applying information theory, estimates from Hungarian-American psychologist Mihaly Csikszentmihalyi and engineer Robert Lucky expect the processing capacity of the human conscious mind to be around 120 bits per second; listening to a person speak requires about 60 bits per second of processing; this implies you can barely comprehend two people speaking at the same time. According to German physiologist Manfred Zimmermann, the human sensory system can pick up information at a much higher rate: he estimates a channel capacity of 10 million bits/s for the eyes alone, 1 million bits/s for the skin, and 100,000 bits/s for the aural channel while conscious perception can cover only a small fraction of this. Consequently, the brain needs to employ mental filters to determine the most important information needing to be processed. Most of these filtering processes happen automatically and beyond conscious awareness. Limitations of attention capacities are revealed in many contexts, for example when speaking on a telephone while driving.