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Understanding End-user Perception of Network Problems
"... It is widely assumed that certain network characteristics cause end-user irritation with network performance. These assumptions then drive the selection of quality of service parameters or the goals of adaptive systems. We have developed a methodology and toolchain, SoylentLogger, that employs user ..."
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It is widely assumed that certain network characteristics cause end-user irritation with network performance. These assumptions then drive the selection of quality of service parameters or the goals of adaptive systems. We have developed a methodology and toolchain, SoylentLogger, that employs user studies to empirically investigate such assumptions. SoylentLogger collects client-centric network measurement data that is labeled by the end-user as being associated with irritation at perceived network performance (or not). The data collection and labeling occurs in realtime as the user normally uses the network. We conducted a study that tracked 32 ordinary users over a period of 3 weeks and then used that data to test common assumptions about network sources of user irritation.
Northwestern University Overview
"... perception of network performance correlate with low-level network measurements? • Approach: User study that collects network, host, and user measurements on end-user machines, labeled by end-user with “irritation events”; comparison of labeled/unlabeled measurements • Context: How to incorporate ..."
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perception of network performance correlate with low-level network measurements? • Approach: User study that collects network, host, and user measurements on end-user machines, labeled by end-user with “irritation events”; comparison of labeled/unlabeled measurements • Context: How to incorporate end-user satisfaction and guidance in computer systems, computer architecture (and network?) design? SoylentLogger • Windows service that monitors network, host, and user context and uploads to our server • Negligible network, cpu, and memory overheads on laptops • Packet-level inspection, connections tagged with applications • Periodic measurement, and irritation-driven measurement • Measurements of • User: application focus, user activity, web traffic (URLs),
