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Content Provider | ACM Digital Library |
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Author | Taylor, Brandon Dey, Anind K. Siewiorek, Daniel Smailagic, Asim |
Abstract | It is well established that delays in system response time negatively impact productivity, error rates and user satisfaction. What is less clear is the degree to which these effects deter users from engaging with a system. Usability guidelines provide rough response time targets for minimizing these effects across various types of interactions. However, developers faced with technical limitations or cost constraints that prevent them from meeting such targets are given no data with which to estimate the impact that system response delays will have on user engagement. In this work, we demonstrate a methodology for using crowd sourcing platforms to examine (1) the relative impacts of different delay types and (2) the effects of marginal changes in system response times. We compare two common network delay types, those caused by limited bandwidth (increased download times) and those caused by network latency (lag in responsiveness), and present how these delays reduce engagement in the context of a crowd sourced image classification task. Furthermore, we model how financial incentives interact with system response delays to impact user engagement. Finally, we show how such models can be used to optimize the cost of system design choices. |
Starting Page | 4413 |
Ending Page | 4422 |
Page Count | 10 |
File Format | |
ISBN | 9781450333627 |
DOI | 10.1145/2858036.2858572 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2016-05-07 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Crowd sourcing Usability System response delays |
Content Type | Text |
Resource Type | Article |
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