2003
DOI: 10.1145/636772.636798
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Models of attention in computing and communication

Abstract: Creating computing and communication systems that sense and reason about human attention by fusing together information from multiple streams.

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Cited by 227 publications
(150 citation statements)
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“…This section reviews the work done so far in attention aware systems. It should be noted, however, that attention has not often been prioritised as a specific subject of research in HCI (with some notable exceptions including the Attentional User Interface project at Microsoft research (Horvitz, Kadie, Paek, & Hovel, 2003)). As a consequence, much of the work relevant to the development of attention aware systems appears in the context of other research frames.…”
Section: Current Approaches To Attention Aware Systemsmentioning
confidence: 99%
“…This section reviews the work done so far in attention aware systems. It should be noted, however, that attention has not often been prioritised as a specific subject of research in HCI (with some notable exceptions including the Attentional User Interface project at Microsoft research (Horvitz, Kadie, Paek, & Hovel, 2003)). As a consequence, much of the work relevant to the development of attention aware systems appears in the context of other research frames.…”
Section: Current Approaches To Attention Aware Systemsmentioning
confidence: 99%
“…There have been attempts to develop models to support reasoning about information awareness vs. interruption of the user [12]. In addition to defining the rules for managing interruptions, the user also needs to be able to manage her interruptions in a context-sensitive and effective manner.…”
Section: Interruption Managementmentioning
confidence: 99%
“…This can be achieved by predicting when humans are likely to change viewing. To do so one can use Markov or Hidden Markov Models [7,1].…”
Section: Predicting Human Gaze With Hidden Markov Models (Hmm)mentioning
confidence: 99%
“…Surprisingly, very few research results have been utilized in real-world applications [1,2]. A typical example is that of semi-automatic road tracking in images where the human is only used to initialize automated processes or as an editor at the end, with only a few or no human-computer interactions along the way [3].…”
Section: Introductionmentioning
confidence: 99%