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Filtering by: Creator Waddell, Karen L. Remove constraint Creator: Waddell, Karen L. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Advisor Burnett, Margaret M. Remove constraint Advisor: Burnett, Margaret M.

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The InclusiveMag Method: A Start Towards More Inclusive Software for Diverse Populations

Creator:

Mendez, Christopher

Abstract:

How can software practitioners assess whether their software supports diverse users? Although there are empirical processes that can be used to find “inclusivity bugs” piecemeal, what is often needed is a systematic inspection method to assess software’s support for diverse populations. To help fill this gap, this thesis introduces InclusiveMag,...

Resource Type:

Masters Thesis
Mental Models of Mere Mortals with Explanations of Reinforcement Learning

Creator:

Anderson, Andrew A.

Abstract:

How should reinforcement learning (RL) agents explain themselves to humans not trained in AI? To gain insights into this question, we conducted a 124 participant, four-treatment experiment to compare participants’ mental models of an RL agent in the context of a simple Real-Time Strategy (RTS) game. The four treatments isolated...

Resource Type:

Masters Thesis
SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study

Creator:

Agarwal, Puja

Abstract:

Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to improve technology’s SES-inclusivity, we present a multi-phase case study on SocioEconomicMag (SESMag), an emerging inspection method...

Resource Type:

Masters Thesis
Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Creator:

Dodge, Jonathan E.

Abstract:

Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...

Resource Type:

Dissertation

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throughout a training cycle . . . . . . . . 177 L Data Appendix - CNNs trained to overfit to opponents

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Academic Affiliation

Electrical Engineering and Computer Science[remove]4

Advisor

Burnett, Margaret M.[remove]4
Dietterich, Thomas G.1
Sarma, Anita1

Commencement Year

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Current results range from 2020 to 2024

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Committee Member

Fern, Alan P.1
Germeten, J. Nicole von1
Hundhausen, Christopher1
Li, Fuxin1
Macuga, Kristen1
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Creator

Agarwal, Puja1
Anderson, Andrew A.1
Dodge, Jonathan E.1
Mendez, Christopher1

Date

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Current results range from 2019 to 2023

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Decade

2020-20293
2010-20191

Degree Field

Computer Science4

Degree Level

Master's3
Doctoral1

Degree Name

Master of Science (M.S.)3
Doctor of Philosophy (Ph.D.)1

Language

English [eng]4

License

All rights reserved4

Peer Reviewed

No4

Resource Type

Masters Thesis3
Dissertation1

Rights Statement

In Copyright4

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