One of the least studied areas of Information Foraging Theory
is diet: the information foragers choose to seek. For
example, do foragers choose solely based on cost, or do
they stubbornly pursue certain diets regardless of cost? Do
their debugging strategies vary with their diets? To investigate
"what" and "how"...
End users create software when they use spreadsheet systems, web authoring tools and graphical languages, and when they create educational simulations, macros-by-demonstration, and dynamic e-business web applications and mash-ups. Some end-user developers, such as accountants or teachers, may have no formal training at all in programming. Others, such as scientists...
Although there have been a number of studies of
end-user software development tasks, few of them have
considered gender issues for real end-user developers
in real-world environments for end-user programming.
In order to be trusted, the results of such laboratory
studies must always be re-evaluated with fewer controls,
more closely...
There has been little research into how end-user programming environments can provide explanations that could fill a critical information gap for end-user debuggers - help with debugging strategy. To address this need, we designed and prototyped a video-based approach for explaining debugging strategy, and accompanied it with a text-only approach....
This paper focuses on mining the strategies of problem solving software users by observing their actions. Our application domain is an HCI study aimed at discovering general strategies employed by software users and understanding how such strategies relate to gender and success. We cast this problem as a sequential pattern...
Although machine learning is becoming commonly used in today's software, there has been little research into how end users might interact with machine learning systems, beyond communicating simple "right/wrong" judgments. If the users themselves could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved...
The potential for machine learning systems to improve via a mutually beneficial exchange of information with users has yet to be explored in much detail. Previously, we found that users were willing to provide a generous amount of rich feedback to machine learning systems, and that the types of some...
ExcelForms is a front end Excel-based application that supports Forms/3, a research
language based on the spreadsheet paradigm, end-user software engineering features.
The old implementation of ExcelForms performed poorly, and was considered
unstable, not robust, and not scalable enough for our users' needs. This project
addresses these issues by implementing...
Although researchers have begun to explicitly support end-user programmers' debugging by providing information to help them find bugs, there is little research addressing the right content to communicate to these users. The specific semantic content of these debugging communications matters because, if the users are not actually seeking the information...
If basic assumptions about how knowledge workers conceptualize and use work units are wrong, then any solutions resting on those assumptions are unlikely to be successful since, instead of decreasing costs, they will lead to increasing them. This paper reports on how knowledge workers understand, use and switch between units...