Index Catalog // ScholarsArchive@OSU

GenderMag’s Socio-Technical Artifacts “Grow up” To Expand GenderMag’s Impact

Creator:: Bhuva, Brijesh H.
Abstract:: This project report presents an implementation of a GenderMag Recorder's Assistant from a semi-working state to a fully working Chrome web store application. In addition, this project report also discusses the persona customization option and limitations and how the persona tool eases the process of persona customization. For results, we...
Resource Type:: Capstone Project
Full Text:: and evaluators envision a particular group of users and their needs during interaction design

Fixing Inclusivity Bugs: Information Processing Styles and Learning Styles

Creator:: Steine-Hanson, Zoe K.
Abstract:: Most software systems today do not support cognitive diversity. Further, because of differences in problem-solving styles that cluster by gender, software that poorly supports cognitive diversity can also embed gender biases. To help software professionals fix gender bias “bugs” related to people’s problem-solving styles for information processing and learning of...
Resource Type:: Honors College Thesis
Full Text:: an extension of a paper submitted to the 2019 IEEE Symposium on Visual Languages & Human-Centric

Investigating the Effect of Using Mobile Touchscreen Device on Children's Tactile Skills

Creator:: Almurshed, Rana
Abstract:: To users, mobile touchscreen devices have appealing characteristics; among these characteristics is intuitiveness, which leads to mobile devices being used almost everywhere by almost everyone to accomplish almost anything. This statement, to some degree, holds for children too. Despite touchscreen devices’ intuitiveness and popularity, we don’t know much about how...
Resource Type:: Dissertation
Full Text:: . DESIGN AND INTERACTION SPACE

Developing a 2D Cross-section Training Strategy for 3D Volume Segmentation by Analyzing Human Perception and Cognitive Tasks

Creator:: Sanandaji, Anahita
Abstract:: 3D volume segmentation is a fundamental process in many scientific and medical applications. Producing accurate segmentations, in an efficient way, is challenging, in part due to low imaging data quality (e.g., noise and low image resolution), and ambiguity in the data that can only be resolved with higher-level knowledge of...
Resource Type:: Dissertation
Full Text:: research is to investigate 3D volume segmentation as a human- computer interaction paradigm and to

An analytical methodology to support the identification and remediation of potential human fallibilities in complex human-machine systems

Creator:: Thompson, Leslie Braitsch
Abstract:: This research proposes a Human Fallibility Identification and Remediation Methodology (HFIRM) that supports the systematic identification and remediation of potential human errors. The objective of this research was to develop and test a prototype framework that supports the practical application of human factors knowledge to the analysis and design of...
Resource Type:: Masters Thesis
Full Text:: Identification and Remediation of Potential Human Fallibilities in Complex Human-Machine Systems Abstract

Explaining Reinforcement Learning To Mere Mortals: An Empirical Study - Supplementary Materials

Creator:: Anderson, Andrew A.
Abstract:: "Explaining Reinforcement Learning to Mere Mortals: An Empirical Study This is the dataset for replicating our study, which was accepted to IJCAI '19. We present a user study to investigate the impact of explanations on non-experts’ understanding of reinforcement learning (RL) agents. We investigate both a common RL visualization, saliency...
Resource Type:: Dataset

Interacting meaningfully with machine learning systems : three experiments

Creator:: Oregon State University. Dept. of Computer Science, Stumpf, Simone, Rajaram, Vidya, Li, Lida, Wong, Weng-Keen, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Sullivan, Erin, and Herlocker, Jonathan Lee
Abstract:: 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...
Resource Type:: Research Paper
Full Text:: intelligently, hand-in-hand with the user. 1. INTRODUCTION A new style of human-computer interaction is

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
Full Text:: pro- cess applied to a set of Human Computer Interaction log data. Our goal is to identify general

Exploring Intuitive Use

Creator:: Cairns, Tylee
Abstract:: The term "Intuitive use" has become a common phrase to describe interfaces and products, however it is rarely defined. Research regarding intuitive use is in its infancy, beginning primarily in 2003. With the development of new terms in Human Factors and Human-Computer Interaction, it is important for Designers and Users...
Resource Type:: Masters Thesis
Full Text:: generations of user interfaces. Adapted from “Intuitive Human– Computer Interaction—Toward a User-Friendly

Helping end-user programmers find and fix performance problems in visual code

Creator:: Chambers, Chris
Abstract:: End-user programmers often struggle to create programs that run quickly and effectively, which can be a major deterrent in completing their tasks as desired. Current research has primarily focused on catching user mistakes, such as errors or misused formulas. However, end users deal with issues other than just correctness. In...
Resource Type:: Dissertation
Full Text:: problems, focusing on configuration and human errors. X-Ray [3] applies binary in strumentation to

ScholarsArchive@OSU

GenderMag’s Socio-Technical Artifacts “Grow up” To Expand GenderMag’s Impact

Fixing Inclusivity Bugs: Information Processing Styles and Learning Styles

Investigating the Effect of Using Mobile Touchscreen Device on Children's Tactile Skills

Developing a 2D Cross-section Training Strategy for 3D Volume Segmentation by Analyzing Human Perception and Cognitive Tasks

An analytical methodology to support the identification and remediation of potential human fallibilities in complex human-machine systems

Explaining Reinforcement Learning To Mere Mortals: An Empirical Study - Supplementary Materials

Interacting meaningfully with machine learning systems : three experiments

Mining interpretable human strategies : a case study

Exploring Intuitive Use

Helping end-user programmers find and fix performance problems in visual code

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