Computer Sciences Commons^™

The Preferences For Creativity Scale (Pcs): Identifying The Underlying Constructs Of Creative Concept Selection, Christine A. Toh, Scarlett Miller

Interdisciplinary Informatics Faculty Publications

The current study was developed to investigate the factors that affect preferences for creativity during the engineering design process through the development of a psychometric scale, the Preferences for Creativity Scale (PCS). This study also explores the impact of student designer's scores on the PCS to their behavior during a creative concept selection activity.

Do We Choose What We Desire? – Persuading Citizens To Make Consistent And Sustainable Mobility Decisions, Christopher Lisson, Margeret A. Hall

Interdisciplinary Informatics Faculty Proceedings & Presentations

A dilemma in urban mobility with tremendous effects on citizens’ wellbeing is the unconscious antipode between their short- and long-term goals. People do not anticipate all consequences of their modal choices and thus make decisions that might be incoherent with their desires, e.g. taking their own car due to convenience but causing a congested city. Omnipresent Information Systems on smartphones provide the necessary information and coordination capabilities to support people for sustainable and individually coherent mobility decisions on a mass scale. Building upon extant work in travel behavior and social psychology, a framework is proposed to coordinate research efforts in …

In The Wild Residual Data Research And Privacy, William Bradley Glisson, Tim Storer, Andrew Blyth, George Grispos, Matt Campbell

Interdisciplinary Informatics Faculty Publications

As the world becomes increasingly dependent on technology, researchers in both industry and academia endeavor to understand how technology is used, the impact it has on everyday life, the artifact life-cycle and overall integrations of digital information. In doing so, researchers are increasingly gathering ‘real- world’ or ‘in-the-wild’ residual data, obtained from a variety of sources, without the explicit consent of the original owners. This data gathering raises significant concerns regarding privacy, ethics and legislation, as well as practical considerations concerning investigator training, data storage, overall security and data disposal. This research surveys recent studies of residual data gathered in-the-wild …

Building Towards Precision Medicine: Empowering Medical Professionals For The Next Revolution, Scott Mcgrath, Dario Ghersi

Interdisciplinary Informatics Faculty Publications

A new paradigm in disease classification, diagnosis and treatment is rapidly approaching. Known as precision medicine, this new healthcare model incorporates and integrates genetic information, microbiome data, and information on patients’ environment and lifestyle to better identify and classify disease processes, and to provide custom-tailored therapeutic solutions. In spite of its promises, precision medicine faces several challenges that need to be overcome to successfully implement this new healthcare model. In this paper we identify four main areas that require attention: data, tools and systems, regulations, and people. While there are important ongoing efforts for addressing the first three areas, we …

Identifying Enriched Drug Fragments As Possible Candidates For Metabolic Engineering, Sunandini Sharma, Kritika Karri, Ishwor Thapa, Dhundy Bastola, Dario Ghersi

Interdisciplinary Informatics Faculty Publications

Background: Fragment-based approaches have now become an important component of the drug discovery process. At the same time, pharmaceutical chemists are more often turning to the natural world and its extremely large and diverse collection of natural compounds to discover new leads that can potentially be turned into drugs. In this study we introduce and discuss a computational pipeline to automatically extract statistically overrepresented chemical fragments in therapeutic classes, and search for similar fragments in a large database of natural products. By systematically identifying enriched fragments in therapeutic groups, we are able to extract and focus on few fragments …

Evaluating Information Technology (It) Integration Risk Prior To Mergers And Acquisitions (M&A), Deepak Khazanchi, Vipin Arora

Information Systems and Quantitative Analysis Faculty Publications

Corporate mergers and acquisitions (M&A) are considered significant, from both a strategic and an economic point of view, across almost all sectors of the economy.¹ M&A is a complex process involving risk that ranges from financial and legal matters to sales and marketing challenges and everything in between. Despite well-established benefits of strategically driven expansion and integration of businesses through M&A, the consolidated organization exposes itself to a number of anticipated, unknown and unintended risk factors. The risk concerns the overall organizational integration of some or all of the previously distinct and interdependent assets, structures, business processes, technologies, systems, …

Dosocs: A System For Spdx 2.0 Document Creation And Storage, Matt Germonprez, Thomas Gurney, Sai Uday Shankar Korlimarla

Information Systems and Quantitative Analysis Faculty Publications

DoSOCS is a command-line tool for managing SPDX 2.0 documents and data. It can scan source code distributions to produce SPDX information, store that information in a relational database, and extract it in a plain-text format on request. DoSOCS enables the creation of SPDX documents for any software package, and can even be used in the creation and continuous maintenance of an inventory of all open-source software used in an organization.

U.S. Energy Sector Cybersecurity: Hands-Off Approach Or Effective Partnership?, T. M. Ballou, Joseph A. Allen, Kyle Francis

Psychology Faculty Publications

Recent reporting has identified significant threats to the U.S. energy’s critical infrastructure from nation states and other groups through cyberspace. Efforts to improve the security and resilience of U.S. energy infrastructure relies upon voluntary partnerships between the U.S. Government and public and private energy infrastructure owners. This paper examines ideal Public-Private Partnership (PPP) characteristics and compares them to an actual PPP in the U.S. The results identify strengths of and challenges to efforts to secure U.S. energy infrastructure. The research was conducted through a combination of literature reviews and interviews with a sample of U.S-government and private-energy infrastructure representatives.

When Disclosure Is Involuntary: Empowering Users With Control To Reduce Concerns, David W. Wilson, Ryan M. Schuetzler, Bradley Dorn, Jeffrey Gainer Proudfoot

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

Modern organizations must carefully balance the practice of gathering large amounts of valuable data from individuals with the associated ethical considerations and potential negative public image inherent in breaches of privacy. As it becomes increasingly commonplace for many types of information to be collected without individuals' knowledge or consent, managers and researchers alike can benefit from understanding how individuals react to such involuntary disclosures, and how these reactions can impact evaluations of the data-collecting organizations. This research develops and empirically tests a theoretical model that shows how empowering individuals with a sense of control over their personal information can help …

Information Technology For Development In Small And Medium-Sized Enterprises, Jie Xiong, Sajda Qureshi

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

Development is a concept that is often used to describe growth in organizations and the regions in which they reside. While research in Information Systems (IS) recognizes the importance of Information Technology (IT) in improving the organizational performance, a great deal of emphasis is given towards understanding large organizations. While social-economic development and transformation relies on new technological infrastructures and organizational changes, there is still a weak link between the organization studies with Information Technology (IT) as it relates to the growth of organizations. It appears that a greater research focus is needed in understanding the use of IT in …

Social Learning Systems: The Design Of Evolutionary, Highly Scalable, Socially Curated Knowledge Systems, Nolan Hemmatazad

Student Work

In recent times, great strides have been made towards the advancement of automated reasoning and knowledge management applications, along with their associated methodologies. The introduction of the World Wide Web peaked academicians’ interest in harnessing the power of linked, online documents for the purpose of developing machine learning corpora, providing dynamical knowledge bases for question answering systems, fueling automated entity extraction applications, and performing graph analytic evaluations, such as uncovering the inherent structural semantics of linked pages. Even more recently, substantial attention in the wider computer science and information systems disciplines has been focused on the evolving study of social …

Can Observation Skills Of Citizen Scientists Be Estimated Using Species Accumulation Curves?, Steve Kelling, Alison Johnston, Wesley M. Hochachka, Marshall Iliff, Daniel Fink, Jeff Gerbracht, Carl Lagoze, Frank A. La Sorte, Travis Moore, Andrea Wiggins, Weng-Keen Wong, Chris Wood, Jun Yu

Information Systems and Quantitative Analysis Faculty Publications

Volunteers are increasingly being recruited into citizen science projects to collect observations for scientific studies. An additional goal of these projects is to engage and educate these volunteers. Thus, there are few barriers to participation resulting in volunteer observers with varying ability to complete the project’s tasks. To improve the quality of a citizen science project’s outcomes it would be useful to account for inter-observer variation, and to assess the rarely tested presumption that participating in a citizen science projects results in volunteers becoming better observers. Here we present a method for indexing observer variability based on the data routinely …

Performance Tuning In Answer Set Programming, Matt Buddenhagen, Yuliya Lierler

Computer Science Faculty Proceedings & Presentations

Performance analysis and tuning are well established software engineering processes in the realm of imperative programming. This work is a step towards establishing the standards of performance analysis in the realm of answer set programming -- a prominent constraint programming paradigm. We present and study the roles of human tuning and automatic configuration tools in this process. The case study takes place in the realm of a real-world answer set programming application that required several hundred lines of code. Experimental results suggest that human-tuning of the logic programming encoding and automatic tuning of the answer set solver are orthogonal (complementary) …

Are We Making A Better World With Information And Communication Technology For Development (Ict4d) Research? Findings From The Field And Theory Building, Sajda Qureshi

Information Systems and Quantitative Analysis Faculty Publications

As Information and Communication Technologies (ICTs) continue to penetrate people’s lives the world over, there is a sense that understanding the role of ICTs in the context of development needs to be conceptualized theoretically while making empirical contributions that add to what we know (Avgerou, 2008; Davison, 2012; Sein and Harindranath, 2004; Sahay and Walsham, 1995). Other scholars have pointed to the importance of this research for the field of Information Systems (ISs) in offering broader contributions. Avgerou (2008) suggests that in the era of globalization such research offers contributions in ISs beyond “organizational organizational and national boundaries and support …

Near-Duplicate Image Retrieval Based On Contextual Descriptor, Jinliang Yao, Bing Yang, Qiuming Zhu

Computer Science Faculty Publications

The state of the art of technology for near-duplicate image retrieval is mostly based on the Bag-of-Visual-Words model. However, visual words are easy to result in mismatches because of quantization errors of the local features the words represent. In order to improve the precision of visual words matching, contextual descriptors are designed to strengthen their discriminative power and measure the contextual similarity of visual words. This paper presents a new contextual descriptor that measures the contextual similarity of visual words to immediately discard the mismatches and reduce the count of candidate images. The new contextual descriptor encodes the relationships of …

Subgoals, Context, And Worked Examples In Learning Computing Problem Solving, Briana B. Morrison, Lauren E. Margulieux, Mark Guzdial

Computer Science Faculty Proceedings & Presentations

Recent empirical results suggest that the instructional material used to teach computing may actually overload students' cognitive abilities. Better designed materials may enhance learning by reducing unnecessary load. Subgoal labels have been shown to be effective at reducing the cognitive load during problem solving in both mathematics and science. Until now, subgoal labels have been given to students to learn passively. We report on a study to determine if giving learners subgoal labels is more or less effective than asking learners to generate subgoal labels within an introductory CS programming task. The answers are mixed and depend on other features …

Understanding User Engagement In The Open Collaboration Model Of Crowdsourcing, Cuong Nguyen

Student Work

Crowdsourcing refers to the use of technologies to gather the collective effort and wisdom from an undefined group of online users for organizational innovation and/or problem solving. Further, open collaboration model refers to the crowdsourcing type wherein the crowd members discuss the submitted contributions among themselves to provide the final outcomes to problem owners. Regardless of crowdsourcing forms, a critical challenge for crowdsourcing service providers is to engage online participants in making sustained contributions. Inspired by Flow Theory (Csikszentmihalyi &

Csikszentmihayi, 1988), the purpose of this dissertation is to examine whether the conditions of challenge-skill balance and clear and immediate …

Efficient Simultaneous Task And Motion Planning For Multiple Mobile Robots Using Task Reachability Graphs, Brad Woosley

Student Work

In this thesis, we consider the problem of efficient navigation by robots in initially unknown environments while performing tasks at certain locations. In initially unknown environments, the path plans might change dynamically as the robot discovers obstacles along its route. Because robots have limited energy, adaptations to the task schedule of the robot in conjunction with updates to its path plan are required so that the robot can perform its tasks while reducing time and energy expended. However, most existing techniques consider robot path planning and task planning as separate problems. This thesis plans to bridge this gap by developing …

Electronic Health Records And User Participation: Digital Natives Versus Digital Immigrants, Deanna House, Rajat Mishra

Information Systems and Quantitative Analysis Faculty Publications

The need for clarity in the healthcare management is a matter of frequent discussion and concern among healthcare professionals, practitioners, patients and academicians. Electronic Health Records would provide clarity, transparency, interoperability and transferability in the health care information and data of the patients. It will also reduce the human mistakes and will reduce the likelihood of wrongly reading or interpreting the information. This paper introduces this useful concept and links it to the two classes of health care practitioners- ‘digital natives’ and ‘digital immigrants’. The paper further identifies and discusses the relationship between user participation and system success and analyses …

The Evolution Of Scientific Productivity Of Junior Scholars, Chun-Hua Tsai, Yu-Ru Lin

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

Publishing academic work has been recognized as a key indicator for measuring scholars’ scientific productivity and having crucial impact on their future career. However, little has been known about how the majority of researchers progress in publishing papers across disciplines. In this work, using a collection consisting of over five millions academic publications across 15 disciplines, we study how the scientific productivity patterns of junior scholars change across different generations and different domains. Our study results help understand the evolution of the competitive “publish or perish” academic culture.

Characterization Of Common Videos With Signatures Extracted From Frame Transition Profiles, Abhiram Reddy Gaddampalli

Student Work

People have access to a tremendous amount of video nowadays, both on television and Internet. The amount of video that a viewer has to choose from is so large that it is infeasible for a human to go through it all to find a video of interest. Organizing video into categories will make the process of large number of videos much faster and improves the ease of access. A profile created by observing the rate at which the contents of video frame changes helps in categorization of videos in different types. The experiments we conducted on three types of videos …

Assessing The Impacts Of Electronic Commerce Diffusion On Development, Gerard De Leoz, Sajda Qureshi, Lotfollah Najjar

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

While the concept of economic development has been widely used to understand the health and wealth of countries, it is accepted that the access to the internet for electronic commerce transactions enable generation in income and improvements in lives. However, with the rise of disparities in income within countries, electronic commerce opportunities can be limited to the few with internet access. In this paper, we investigate how e-commerce diffusion affects economic development and factors of electronic commerce diffusion that promote or impede economic development. Using data available through international data collection agencies, we analyze three ASEAN members with relatively close …

Prepositional Phrase Attachment Problem Revisited: How Verbnet Can Help, Dan Bailey, Yuliya Lierler, Benjamin Susman

Computer Science Faculty Proceedings & Presentations

Resolving attachment ambiguities is a pervasive problem in syntactic analysis. We propose and investigate an approach to resolving prepositional phrase attachment that centers around the ways of incorporating semantic knowledge derived from the lexico-semantic ontologies such as VERBNET and WORDNET.

The Tail Wagging The Dog: An Overdue Examination Of Student Teaching Evaluations, Patti Miles, Deanna House

Information Systems and Quantitative Analysis Faculty Publications

Purpose: The purpose of this research is to examine the impact of several factors beyond the professor’s control and their unique impact on Student Teaching Evaluations (STEs). The present research pulls together a substantial amount of data to statistically analyze several academic historical legends about just how vulnerable STEs are to the effects of: class size, course type, professor gender, and course grades.

Design/methodology/approach: This research is utilizes over 30,000 individual student evaluations of 255 professors, spanning six semesters, during a three year time period to test six hypotheses. The final sample represents 1057 classes ranging in size between 10 …

A Hybrid Approach To Indoor Sensor Area Localization And Coverage, Mengmeng Gai

UNO Student Research and Creative Activity Fair

This study presents a hybrid approach to indoor object detection and tracking. The test area is partitioned into regions that are covered by sensors placed on the ceilings. The approximate location of an object is determined by these sensors using RSSI. The region determination is then followed by localizing the exact location of the object using Building Information Modeling (BIM) and the 3D stereo image measurements. To determine the coverage ratio of a region for better placement of sensors, the 3D space is partitioned into 2D planes whose coverage points are determined by a newly developed software product called LOCOPac. …

Kinesic Patterning In Deceptive And Truthful Interactions, Judee K. Burgoon, Ryan M. Schuetzler, David W. Wilson

Information Systems and Quantitative Analysis Faculty Publications

A persistent question in the deception literature has been the extent to which nonverbal behaviors can reliably distinguish between truth and deception. It has been argued that deception instigates cognitive load and arousal that are betrayed through visible nonverbal indicators. Yet, empirical evidence has often failed to find statistically significant or strong relationships. Given that interpersonal message production is characterized by a high degree of simultaneous and serial patterning among multiple behaviors, it may be that patterns of behaviors are more diagnostic of veracity. Or it may be that the theorized linkage between internal states of arousal, cognitive taxation, and …

Usability And Usage Of Interactive Features In An Online Ebook For Cs Teachers, Barbara Ericson, Steven Moore, Briana B. Morrison, Mark Guzdial

Computer Science Faculty Proceedings & Presentations

There are too few secondary school computing teachers to meet international needs for growing secondary school computing education. Our group has created an ebook to help prepare secondary teachers to teach the programming and big data concepts in the new AP Computer Science Principles course. The ebook was designed using principles from educational psychology, specifically worked examples and cognitive load. The ebook interleaves worked examples and interactive practice activities, which we believe will lead to more efficient and effective learning than more typical approaches to learning programming. This paper reports the results from initial studies of our ebook. First, we …

An Abstract View On Modularity In Knowledge Representation, Yuliya Lierler, Miroslaw Truszczyński

Computer Science Faculty Proceedings & Presentations

Modularity is an essential aspect of knowledge representation and reasoning theory and practice. It has received substantial attention. We introduce model-based modular systems, an abstract framework for modular knowledge representation formalisms, similar in scope to multi-context systems but employing a simpler information-flow mechanism. We establish the precise relationship between the two frameworks, showing that they can simulate each other. We demonstrate that recently introduced modular knowledge representation formalisms integrating logic programming with satisfiability and, more generally, with constraint satisfaction can be cast as modular systems in our sense. These results show that our formalism offers a simple unifying framework for …

Subgoals Help Students Solve Parsons Problems, Briana B. Morrison, Lauren E. Margulieux, Barbara Ericson, Mark Guzdial

Computer Science Faculty Proceedings & Presentations

We report on a study that used subgoal labels to teach students how to write while loops with a Parsons problem learning assessment. Subgoal labels were used to aid learning of programming while not overloading students' cognitive abilities. We wanted to compare giving learners subgoal labels versus asking learners to generate subgoal labels. As an assessment for learning we asked students to solve a Parsons problem – to place code segments in the correct order. We found that students who were given subgoal labels performed statistically better than the groups that did not receive subgoal labels or were asked to …

Community Chairs As A Catalyst For Campus Collaboration In Stem, Neal Grandgenett, David Boocker, Hesham Ali, Angela M. Hodge, Brian Dorn, Christine E. Cutucache

Biology Faculty Publications

Strong collaborative partnerships are critical to the ongoing success of any urban or metropolitan university in its efforts to build the science, technology, engineering, and mathematics (STEM) career pathways so critical to our nation. At the University of Nebraska at Omaha, we have established a faculty leadership structure of "community chairs" that work across colleges to support campus priorities. This paper describes UNO’s STEM community chair model, including selected initiatives, impacts, and challenges to date.