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Filtering by: Creator Komireddy, Chaitanya Remove constraint Creator: Komireddy, Chaitanya

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Mining interpretable human strategies : a case study

Creator:

Oregon State University. Dept. of Computer Science, Fern, Xiaoli, Komireddy, Chaitanya, and Burnett, Margaret, 1949-

Abstract:

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...

Resource Type:

Research Paper

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Study Xiaoli Fern, Chaitanya Komireddy, Margaret Burnett School of EECS, Oregon State University 1148
Complex patterns in gender HCI : a data mining study of factors leading to end-user debugging success for females and males

Creator:

Grigoreanu, Valentina I.

Abstract:

Most of the work so far in the subfield of Gender HCI has followed a theory-driven approach. Established theories, however, do not take into account specific issues that arise in end-user debugging. We suspected that there may be important information that we were overlooking. We therefore employed a methodology change:...

Resource Type:

Masters Thesis

Full Text:

and Chaitanya Komireddy for conducting the data mining part of Study 1. Also thank you to Dr
Understanding and supporting end-user debugging strategies

Creator:

Grigoreanu, Valentina I.

Abstract:

End users' programs are fraught with errors, costing companies millions of dollars. One reason may be that researchers and tool designers have not yet focused on end-user debugging strategies. To investigate this possibility, this dissertation presents eight empirical studies and a new strategy-based end-user debugging tool for Excel, called StratCel....

Resource Type:

Dissertation

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Fern, with help from Chaitanya Komireddy, led the sequential pattern mining side for the study
Activity recognition in desktop environments

Creator:

Shen, Jianqiang

Abstract:

Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...

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Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science3

Advisor

Burnett, Margaret1
Burnett, Margaret M.1
Dietterich, Thomas G.1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2008 to 2010

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Unknown 1

Committee Member

Jensen, Carlos2
Budd, Timothy A.1
Cook, Curtis1
Fern, Alan1
Herlocker, Jonathan1
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Creator

Grigoreanu, Valentina I.2
Burnett, Margaret, 1949 1
Fern, Xiaoli1
Komireddy, Chaitanya1
Oregon State University. Dept. Of Computer Science1
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Date

Date range begin – Date range end

Current results range from 2007 to 2009

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Decade

2000-20094

Degree Field

Computer Science3

Degree Level

Doctoral2
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)2
Master of Science (M.S.)1

File Format

application/pdf1

Language

English [eng]4

License

All rights reserved3

Non-Academic Affiliation

Oregon State University. Graduate School3

Peer Reviewed

No4

Resource Type

Dissertation2
Masters Thesis1
Research Paper1

Rights Statement

In Copyright3
Copyright Not Evaluated1

Subject

Artificial intelligence -- Mathematical models1
Computer programmers -- Sex differences1
Computer vision -- Mathematical models1
Data mining1
Debugging in computer science -- Computer programs1
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