2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) 2018
DOI: 10.1109/percomw.2018.8480358
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Inattention-Management Middleware for Human-in-the-Loop Multi-Display Applications

Abstract: Operator inattention is an important and unsolved problem in mission critical multi-display systems where a single or a group of operators continuously monitor information flows on distributed displays. In this paper we present a novel system solution to this problem and a middleware for supporting flexible attention-aware applications for a variety of domains. Some of the most significant functionality includes direct querying of the application's attention state, custom callback definitions to be executed on… Show more

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Cited by 2 publications
(2 citation statements)
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“…Garrido et al [17] later distilled these research ideas into a toolkit with attention-aware graphical user interface (GUI) controls. [18] developed the Inattention Management Middleware (IMM), which provides several of the features previously discussed, such as fusing sensor data, detecting operator's focus of attention, detecting operators' target fixation and providing an interface for an application to specify callbacks on specific user events. The IMM provides an API that allows web-applications to detect whether specific data points have been looked at and allows the definition of application callbacks to be triggered on detection and data point intersection events.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Garrido et al [17] later distilled these research ideas into a toolkit with attention-aware graphical user interface (GUI) controls. [18] developed the Inattention Management Middleware (IMM), which provides several of the features previously discussed, such as fusing sensor data, detecting operator's focus of attention, detecting operators' target fixation and providing an interface for an application to specify callbacks on specific user events. The IMM provides an API that allows web-applications to detect whether specific data points have been looked at and allows the definition of application callbacks to be triggered on detection and data point intersection events.…”
Section: Related Workmentioning
confidence: 99%
“…Their positions, heights and tilts were derived experimentally as to minimize interference between the eye-trackers. The IMM used in this formative was a more advanced version of our first prototype [18].…”
Section: Apparatus and Materialsmentioning
confidence: 99%