A Data-Driven Analysis Of Workers' Earnings On Amazon Mechanical Turk,
2018
Singapore Management University
A Data-Driven Analysis Of Workers' Earnings On Amazon Mechanical Turk, Kotaro Hara, Abigail Adams, Kristy Milland, Saiph Savage, Chris Callison-Burch, Jeffrey P. Bigham
Research Collection School Of Computing and Information Systems
A growing number of people are working as part of on-line crowd work. Crowd work is often thought to be low wage work. However, we know little about the wage distribution in practice and what causes low/high earnings in this setting. We recorded 2,676 workers performing 3.8 million tasks on Amazon Mechanical Turk. Our task-level analysis revealed that workers earned a median hourly wage of only ~$2/h, and only 4% earned more than $7.25/h. While the average requester pays more than $11/h, lower-paying requesters post much more work. Our wage calculations are influenced by how unpaid work is accounted for, …
Domain-Specific Cross-Language Relevant Question Retrieval,
2018
Singapore Management University
Domain-Specific Cross-Language Relevant Question Retrieval, Bowen Xu, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
Research Collection School Of Computing and Information Systems
Chinese developers often cannot effectively search questions in English, because they may have difficulties in translating technical words from Chinese to English and formulating proper English queries. For the purpose of helping Chinese developers take advantage of the rich knowledge base of Stack Overflow and simplify the question retrieval process, we propose an automated cross-language relevant question retrieval (CLRQR) system to retrieve relevant English questions for a given Chinese question. CLRQR first extracts essential information (both Chinese and English) from the title and description of the input Chinese question, then performs domain-specific translation of the essential Chinese information into English, …
Continuous Top-K Monitoring On Document Streams (Extended Abstract),
2018
Singapore Management University
Continuous Top-K Monitoring On Document Streams (Extended Abstract), Leong Hou U, Junjie Zhang, Kyriakos Mouratidis, Ye Li
Research Collection School Of Computing and Information Systems
The efficient processing of document streams plays an important role in many information filtering systems. Emerging applications, such as news update filtering and social network notifications, demand presenting end-users with the most relevant content to their preferences. In this work, user preferences are indicated by a set of keywords. A central server monitors the document stream and continuously reports to each user the top-k documents that are most relevant to her keywords. The objective is to support large numbers of users and high stream rates, while refreshing the topk results almost instantaneously. Our solution abandons the traditional frequency-ordered indexing approach, …
'Is More Better?': Impact Of Multiple Photos On Perception Of Persona Profiles,
2018
Hamad Bin Khalifa University
'Is More Better?': Impact Of Multiple Photos On Perception Of Persona Profiles, Joni Salminen, Lene Nielsen, Soon-Gyo Jung, Jisun An, Haewoon Kwak, Bernard J. Jansen
Research Collection School Of Computing and Information Systems
In this research, we investigate if and how more photos than a single headshot can heighten the level of information provided by persona profiles. We conduct eye-tracking experiments and qualitative interviews with variations in the photos: a single headshot, a headshot and images of the persona in different contexts, and a headshot with pictures of different people representing key persona attributes. The results show that more contextual photos significantly improve the information end users derive from a persona profile; however, showing images of different people creates confusion and lowers the informativeness. Moreover, we discover that choice of pictures results in …
Eat & Tell: A Randomized Trial Of Random-Loss Incentive To Increase Dietary Self-Tracking Compliance,
2018
Singapore Management University
Eat & Tell: A Randomized Trial Of Random-Loss Incentive To Increase Dietary Self-Tracking Compliance, Palakorn Achananuparp, Ee Peng Lim, Vibhanshu Abhishek, Tianjiao Yun
Research Collection School Of Computing and Information Systems
A growing body of evidence has shown that incorporating behavioral economics principles into the design of financial incentive programs helps improve their cost-effectiveness, promote individuals' short-term engagement, and increase compliance in health behavior interventions. Yet, their effects on long-term engagement have not been fully examined. In study designs where repeated administration of incentives is required to ensure the regularity of behaviors, the effectiveness of subsequent incentives may decrease as a result of the law of diminishing marginal utility. In this paper, we introduce random-loss incentive-a new financial incentive based on loss aversion and unpredictability principles-to address the problem of individuals' …
A Feasibility Study On Crowdsourcing To Monitor Municipal Resources In Smart Cities,
2018
Singapore Management University
A Feasibility Study On Crowdsourcing To Monitor Municipal Resources In Smart Cities, Thivya Kandappu, Archan Misra, Ming Hui, Desmond (Xu Minghui) Koh, Randy Tandriansyah Daratan, Nikita Jaiman
Research Collection School Of Computing and Information Systems
Active citizenry, whereby citizens actively participate inreporting and addressing challenges in urban service delivery is a strategic goalof smart cities such as Singapore. In spite of the promise, we believe that thesuccess of such large-scale nation-wide crowdsourcing deployments depend on thereal-word user preferences and behavioral characteristics of citizens. In thispaper, we first present our findings on behavioral preferences and key concernsof citizens regarding smart-city services via an opinion survey conducted with 1300participants. We then propose a “citizen-controlled” urban services reportingplatform where citizens actively report on the status of various municipalresources. We advocate the importance of matching user mobility patternsagainst task …
The Role Of Urban Mobility In Retail Business Survival,
2018
University of Cambridge
The Role Of Urban Mobility In Retail Business Survival, Krittika D'Silva, Kasthuri Jayarajah, Anastasios Noulas, Cecilia Mascolo, Archan Misra
Research Collection School Of Computing and Information Systems
Economic and urban planning agencies have strong interest in tackling the hard problem of predicting the odds of survival of individual retail businesses. In this work, we tap urban mobility data available both from a location-based intelligence platform, Foursquare, and from public transportation agencies, and investigate whether mobility-derived features can help foretell the failure of such retail businesses, over a 6 month horizon, across 10 distinct cities spanning the globe. We hypothesise that the survival of such a retail outlet is correlated with not only venue-specific characteristics but also broader neighbourhood-level effects. Through careful statistical analysis of Foursquare and taxi …
Distributed Multi-Task Classification: A Decentralized Online Learning Approach,
2018
Nanyang Technological University
Distributed Multi-Task Classification: A Decentralized Online Learning Approach, Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu Sung Lee, Chunyan Miao, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
Although dispersing one single task to distributed learning nodes has been intensively studied by the previous research, multi-task learning on distributed networks is still an area that has not been fully exploited, especially under decentralized settings. The challenge lies in the fact that different tasks may have different optimal learning weights while communication through the distributed network forces all tasks to converge to an unique classifier. In this paper, we present a novel algorithm to overcome this challenge and enable learning multiple tasks simultaneously on a decentralized distributed network. Specifically, the learning framework can be separated into two phases: (i) …
The Impact Of Rapid Release Cycles On The Integration Delay Of Fixed Issues,
2018
Singapore Management University
The Impact Of Rapid Release Cycles On The Integration Delay Of Fixed Issues, Daniel Alencar Da Costa, Shane Mcintosh, Christoph Treude, Uirá Kulesza, Ahmed E. Hassan
Research Collection School Of Computing and Information Systems
The release frequency of software projects has increased in recent years. Adopters of so-called rapid releases—short release cycles, often on the order of weeks, days, or even hours—claim that they can deliver fixed issues (i.e., implemented bug fixes and new features) to users more quickly. However, there is little empirical evidence to support these claims. In fact, our prior work shows that code integration phases may introduce delays for rapidly releasing projects—98% of the fixed issues in the rapidly releasing Firefox project had their integration delayed by at least one release. To better understand the impact that rapid release cycles …
Persona Perception Scale: Developing And Validating An Instrument For Human-Like Representations Of Data,
2018
Singapore Management University
Persona Perception Scale: Developing And Validating An Instrument For Human-Like Representations Of Data, Salminen Joni, Haewoon Kwak, João Santos, Soon-Gyo Jung, Jisun An, Bernard J. Jansen
Research Collection School Of Computing and Information Systems
Personas are widely used in software development, system design, and HCI studies. Yet, their evaluation is difficult, and there are no recognized and validated measurement scales to date. To improve this condition, this research develops a persona perception scale based on reviewing relevant literature. We validate the scale through a pilot study with 19 participants, each evaluating three personas (57 evaluations in total). This is the first reported effort to systematically develop and validate an instrument for persona perception measurement. We find the constructs and items of the scale perform well, with factor loadings ranging between 0.60 and 0.95. Reliability, …
The Application Of Text Mining And Data Visualization Techniques To Textual Corpus Exploration,
2018
Air Force Institute of Technology
The Application Of Text Mining And Data Visualization Techniques To Textual Corpus Exploration, Jeffrey R. Smith Jr.
Theses and Dissertations
Unstructured data in the digital universe is growing rapidly and shows no evidence of slowing anytime soon. With the acceleration of growth in digital data being generated and stored on the World Wide Web, the prospect of information overload is much more prevalent now than it has been in the past. As a preemptive analytic measure, organizations across many industries have begun implementing text mining techniques to analyze such large sources of unstructured data. Utilizing various text mining techniques such as n -gram analysis, document and term frequency analysis, correlation analysis, and topic modeling methodologies, this research seeks to develop …
Text Mining In Chinese Ancient Attires,
2018
Western University
Text Mining In Chinese Ancient Attires, Lu Wang
Western Research Forum
Starting from the Shang Dynasty (1600-1046 BCE) when writing system appeared in China, clothing was recorded as symbols to denote social statuses. The hierarchical signification of clothing remained in the following dynasties until the end of imperial China in 1911. The imperial period produced twenty-five official dynastic histories with rich corpuses on the subject of attire, documenting regulations and prohibitions of detailed dress code, a subject being scarcely studied and treated with assumptions today. This research will use text mining tools to identify descriptive words of clothing that reflect Chinese hierarchal ideology from the twenty-five histories. The method is to …
Seed Dormancy-Life Form Profile For 358 Species From The Xishuangbanna Seasonal Tropical Rainforest, Yunnan Province, China Compared To World Database,
2018
Chinese Academy of Sciences, China
Seed Dormancy-Life Form Profile For 358 Species From The Xishuangbanna Seasonal Tropical Rainforest, Yunnan Province, China Compared To World Database, Qinying Lan, Shouhua Yin, Huiyin He, Yunhong Tan, Qiang Liu, Yongmei Xia, Bin Wen, Carol C. Baskin, Jerry M. Baskin
Biology Faculty Publications
Seed dormancy profiles are available for the major vegetation regions/types on earth. These were constructed using a composite of data from locations within each region. Furthermore, the proportion of species with nondormant (ND) seeds and the five classes of dormancy is available for each life form in each region. Using these data, we asked: will the results be the same if many species from a specific area as opposed to data compiled from many locations are considered? Germination was tested for fresh seeds of 358 species in 95 families from the Xishuangbanna seasonal tropical rainforest (XSTRF): 177 trees, 66 shrubs, …
The Big Revolution: Future Potential Of Blockchain Technology,
2018
Southwestern Oklahoma State University
The Big Revolution: Future Potential Of Blockchain Technology, Sweksha Poudel, Sushant Bhatta, Jeremy Evert
Student Research
Blockchain is the continuation of humanity’s connection with technology. If we think back to a more ancient era, trade was done in a very informal manner. Often the result of one’s desire to get what they wanted was with violence. Society as a whole then started becoming more formalized and grew in complexity. Institutions like banks and governments established currency, policy, and regulation. Eventually, we had access to these same institutions on the internet and the list grew exponentially. Marketplaces like Amazon and eBay made trade much easier for the common man to use and it kept lowering uncertainties of …
The Role Of Ehealth In Disasters: A Strategy For Education, Training And Integration In Disaster Medicine,
2018
AUT University
The Role Of Ehealth In Disasters: A Strategy For Education, Training And Integration In Disaster Medicine, Anthony C. Norris, Jose J. Gonzalez, David T. Parry, Richard E. Scott, Julie Dugdale, Deepak Khazanchi
Information Systems and Quantitative Analysis Faculty Publications
This paper describes the origins and progress of an international project to advance disaster eHealth (DEH) – the application of eHealth technologies to enhance the delivery of healthcare in disasters. The study to date has focused on two major themes; the role of DEH in facilitating inter-agency communication in disaster situations, and the fundamental need to promote awareness of DEH in the education of disaster managers and health professionals. The paper deals mainly with on-going research on the second of these themes, surveying the current provision of disaster medicine education, the design considerations for a DEH programme for health professionals, …
The Emergence Of Institutional Repositories: A Conceptual Understanding Of Key Issues Through Review Of Literature,
2018
Babasaheb Bhimrao Ambedkar University, Lucknow, U.P. (India)
The Emergence Of Institutional Repositories: A Conceptual Understanding Of Key Issues Through Review Of Literature, O. P. Saini
Library Philosophy and Practice (e-journal)
It is the responsibility of the libraries to keep update its users by incorporating different technologies or tricks among the services offered to users. The libraries are managing diversified collection in both electronic and physical formats including the theses and dissertations awarded by their respective parent institutes in physical form. The academic libraries are directed by the Indian government through a mandate to protect and preserve the theses and dissertation in electronic form and provide access to the public domain. Institutional Repositories (IRs) have the perspective to store any amount of information electronically. Therefore, many of the academic libraries are …
Keep It Simple, Keep It Safe - Research On The Impacts Of Increasing Complexity Of Modern Enterprise Applications,
2018
University of Nebraska at Omaha
Keep It Simple, Keep It Safe - Research On The Impacts Of Increasing Complexity Of Modern Enterprise Applications, Shawn Ware, David Phillips
UNO Student Research and Creative Activity Fair
As the Cybersecurity program within UNO continues to adapt to the ever-changing world of information systems and information security, the Cybersecurity Capstone has recently become an active, community-involvement project, where real-world organizations can receive valuable, useful research and information from students on their way towards a degree. This presentation encompasses two such projects from the Cybersecurity Capstone, looking at how modern, more complex systems can often increase system vulnerability.
Collecting And Organizing Far-Left Extremist Data From Unstructured Internet Sources,
2018
University of Nebraska at Omaha
Collecting And Organizing Far-Left Extremist Data From Unstructured Internet Sources, Eric Perez
UNO Student Research and Creative Activity Fair
Far-left extremism refers to a network of groups who adhere to and take direct action in accordance with one or more of the following ideas: Support for bio-centric diversity, the belief that the earth and animals are in immediate danger, and the view that the government and other parts of society are responsible for this danger and incapable/unwilling to fix the crisis and preserve the American wilderness (Chermak, Freilich, Duran, & Parkin). Far-left extremism groups self-report activities using publicly accessible, online communiqués. These activities include arson, property damage, harassment, sabotage, and theft (Loadenthal). The communiqués are structured like blog posts …
Cora: Commingled Remains And Analytics – An Open Community Ecosystem,
2018
University of Nebraska at Omaha
Cora: Commingled Remains And Analytics – An Open Community Ecosystem, Nicole Mcelroy, Ryan Ernst
UNO Student Research and Creative Activity Fair
Anthropologists at organizations such as the DPAA (Defense POW/MIA Accounting Agency) have the tough job of sorting through commingled remains of fallen soldiers. Under the direction of Professor Pawaskar at the College of IS&T, Ryan Ernst and I are currently developing a web application for the DPAA that will help them inventory the bones and record all the appropriate associations. After the inventory web application is built we will begin the analysis process using graph theory and other mathematical algorithms. This will ultimately help organizations like the DPAA get closer to the end goal of identifying fallen soldiers from commingled …
Explaining Social Recommendations To Casual Users: Design Principles And Opportunities,
2018
University of Nebraska at Omaha
Explaining Social Recommendations To Casual Users: Design Principles And Opportunities, Chun-Hua Tsai, Peter Brusilovsky
Information Systems and Quantitative Analysis Faculty Proceedings & Presentations
Recommender systems have become popular in recent years, and ordinary users are more likely to rely on such service when completing various daily tasks. The need to design and build explainable recommender interfaces is increasing rapidly. Most of the designs of such explanations are intended to reflect the underlying algorithms by which the recommendations are computed. These approaches have been shown to be useful for obtaining system transparency and trust. However, little is known about how to design explanation interfaces for causal (non-expert) users to achieve different explanatory goals. As a first step toward understanding the user interface design factors, …
