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School of Interactive Computing Technical Report Series
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ItemJobLex: A Lexico-Semantic Knowledgebase of Occupational Information Descriptors(Georgia Institute of Technology, 2019-07) Saha, Koustuv ; Reddy, Manikanta D. ; De Choudhury, MunmunTechnological advancements in several work sectors have influenced evolution of the landscape of work at an unprecedented speed, leading to the demand of continuous skill development [1,8]. In turn, this interests a number of stakeholders spanning across academia and industry in a number of disciplines including labor economics, who leverage large-scale data available from a variety of offline and online sources (e.g., resumes, job portals, professional social networking such as LinkedIn, search engine, job databases, etc.) [9,11,12]. On these data streams, describing job aspects and skills vary extensively, confounded by factors such as self-presentation, subjective perspectives on soft and hard skills, audience, and intrinsic traits such as personality and mindset [2,4,7,15,17]. Such data analyses require a taxonomy of keywords that are associated with skills per job description or type. However, most databases are only limited — they do not capture variants, typos, abbreviations, or internet slangs that are used on social media or in informal settings [6]. To facilitate research in this space, our work builds on a well-validated dictionary of occupational descriptors (O*Net) to propose a method, and correspondingly a knowledgebase, JobLex of occupational descriptors that can be used in computational social science and organizational studies [13]. We publish both our script and an example lexicon (for Twitter) for purposes of research and practical application. Item Description: This work publishes a methodology to build knowledgebase of occupational information descriptors. We also provide access to the codebase and example lexicon.
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ItemDeveloping a Document Trained Automated Advisor(Georgia Institute of Technology, 2018-08) Gregori, EricThis paper covers the development of a system to automatically answer questions about the content of a document. For example, a class syllabus or project specification. The system trains on the document’s content to build a model and answer questions using text from the document.
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ItemJill Watson: A Virtual Teaching Assistant for Online Education(Georgia Institute of Technology, 2016) Goel, Ashok K. ; Polepeddi, LalithMOOCs are rapidly proliferating. However, for many MOOCs, the effectiveness of learning is questionable and student retention is low. One recommendation for improving the learning and the retention is to enhance the interaction between the teacher and the students. However, the number of teachers required to provide learning assistance to all students enrolled in all MOOCs is prohibitively high. One strategy for improving interactivity in MOOCs is to use virtual teaching assistants to augment and amplify interaction with human teachers. We describe the use of a virtual teaching assistant called Jill Watson (JW) for the Georgia Tech OMSCS 7637 class on Knowledge-Based Artificial Intelligence. JW has been operating on the online discussion forums of different offerings of the KBAI class since Spring 2016. By now some 750 students have interacted with different versions of JW. In the latest, Spring 2017 offering of the KBAI class, JW autonomously responded to student introductions, posted weekly announcements, and answered routine, frequently asked questions. In this article, we describe the motivations, background, and evolution of the virtual question-answering teaching assistant.
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ItemAn Experiment in Teaching Cognitive Systems Online(Georgia Institute of Technology, 2015) Goel, Ashok K. ; Joyner, David A.In Fall 2014 we offered an online course CS 7637 Knowledge-Based Artificial Intelligence: Cognitive Systems (KBAI) to about 200 students as part of the Georgia Tech Online MS in CS program. We incorporated lessons from learning science into the design of the project-based online KBAI course. We embedded ~150 microexercises and ~100 AI nanotutors into the online videos. As a quasi-experiment, we ran a typical inperson class with 75 students in parallel, with the same course syllabus, structure, assignments, projects and examinations. Based on the feedback of the students in the online KBAI class, and comparison of their performance with the students in the inperson class, the online course appears to have been a success. In this paper, we describe the design, development and delivery of the online KBAI class. We also discuss the evaluation of the course.
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ItemDeliberate Barriers to User Participation on MetaFilter(Georgia Institute of Technology, 2014) Pileggi, Hannah ; Morrison, Briana ; Bruckman, Amy S.This descriptive study explores deliberate barriers to user participation on the long-lived discussion site Metafilter.com. Metafilter has been in continuous operation since its founding in 1999, and at the time of this writing has around 12,000 active users. While many newer online sites appear eager to eliminate barriers to participation and recruit as many new members as possible, Metafilter charges a $5 fee to join and has a mandatory one-week waiting period before new users are allowed to post. In this paper, we explore both why these barriers were imposed and why some users choose to surmount the barriers to become members. Our data sources include historical documents posted on the site, interviews with eleven site members, an informal user survey, and an interview with the Matt Haughey, the site’s founder and owner. Implications of these design features are discussed.
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ItemEasyZoom: Zoom-in-Context Views for Exploring Large Collections of Images(Georgia Institute of Technology, 2013) Chen, Jiajian ; Xu, Yan ; Turk, Greg ; Stasko, John T.Image browsing and searching are some of the most common tasks in daily computer use. Zooming techniques are important for image searching and browsing in a large collection of thumbnail images in a single screen. In this paper we investigate the design and usability of different zoom-in-context views for image browsing and searching. We present two new zoom-in-context views, sliding and expanding views, that can help users explore a large collection of images more efficiently and enjoyably. In the sliding view the zoomed image moves its neighbors away vertically and horizontally. In the expanding view, the nearby images are pushed away in all directions, and this method uses a Voronoi diagram to compute the positions of the neighbors. We also present the results of a user study that compared the usability of the two zoom-in-context views and an overlapping, non-context zoom in the tasks of searching to match an image or a text description, and the task of brochure making. Although the task completion times were not significantly different, users expressed a preference for the zoom-in-context methods over the standard non-context zoom for text-matching image search and for image browsing tasks.
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ItemFAR: A computational model for solving visual intelligence tests using fractal reasoning(Georgia Institute of Technology, 2012-05-21) McGreggor, Brian KeithA thesis proposal for the following research question: How might a cognitively-inspired computational model solve problems of visual similarity and novelty, such as those found on intelligence tests?
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ItemPerformance and Use Evaluation of an Electronic Book for Introductory Python Programming(Georgia Institute of Technology, 2012) Alvarado, Christine ; Morrison, Briana ; Ericson, Barbara ; Guzdial, Mark ; Miller, Brad ; Ranum, David L.Electronic books (ebooks) provide the opportunity to go beyond the limitations of a physical page. These opportunities are particularly important for computing education, where dynamic information is a key characteristic of our domain. An electronic book can provide opportunities to program or conduct analyses that are impossible on the physical page, integrating instructional information with creative exploration. However, just because ebooks provide these opportunities does not mean that we know how students will actually use ebooks in the context of a class. Miller and Ranum have produced an electronic book for teaching introductory computing in Python. We explored how students used the dynamic and novel features of the book, and correlated that use with performance on learning measures. We found that students made extensive use of the traditional programming environment in the book, but that the lesser-used visualization tool was better correlated with student performance. In addition, we found that although students reported high levels of satisfaction with the book, they appeared to use it much like a traditional textbook, making less use of many of the interactive features of the book than we expected.
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ItemA Robotic System for Autonomous Medication and Water Delivery(Georgia Institute of Technology, 2012) Emeli, Victor ; Wagner, Alan R. ; Kemp, Charles C.Poor medication adherence and dehydration are well-documented challenges for older adults living independently that lead to reduced quality of life. Robotic delivery of pills and water in the home could potentially improve medication adherence and hydration for older adults by providing timely, reliable, and convenient delivery. In this technical report, we present a prototype multi-robot system that can autonomously deliver pills and water to a person in a realistic home environment. The system consists of a mobile robot with a tray, a stationary dispensing robot, and a smartphone carried by the user. Within this paper, we discuss the opportunity to improve quality of life, describe our robotic system, and convey results from an experimental evaluation of the system’s delivery performance.
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ItemSOT: Compact Representation for Triangle and Tetrahedral Meshes(Georgia Institute of Technology, 2010) Rossignac, Jarek ; Gurung, ToprajThe Corner Table (CT) represents a triangle mesh by storing 6 integer references per triangle (3 vertex references in the Vertex table and 3 references to opposite corners in the Opposite table, which accelerate access to adjacent triangles). The Compact Half Face (CHF) representation extends CT to tetrahedral meshes, storing 8 references per tetrahedron (4 in the Vertex table and 4 in the Opposite table). We use the term Vertex Opposite Table (VOT) to refer to both CT and CHF and propose a sorted variation, SVOT, which is inspired by tetrahedral mesh encoding techniques and which works for both triangle and tetrahedral meshes. The SVOT does not require additional storage and yet provides, for each vertex, a reference to an incident corner from which the star (incident cells) of the vertex may be traversed at a constant cost per visited element. We use the corner operators for querying and traversing the triangle meshes while for tetrahedral meshes, we propose a set of powerful wedge-based operators. Improving on the SVOT, we propose our Sorted Opposite Table (SOT) variation, which eliminates the Vertex table completely and hence reduces storage requirements by 50% to only 3 references per triangle for triangle meshes and 4 references and 9 bits per tetrahedron for tetrahedral meshes, while preserving the vertex-to-incident-corner references and supporting the corner operators and our wedge operators with a constant average cost. The SVOT and SOT representation work on manifold meshes with boundaries.