Searching with Tags: Do Tags Help Users Find Things?

This study examines the question of whether tags can be useful in the process of information retrieval. Participants searched a social bookmarking tool specialising in academic articles (CiteULike) and an online journal database (Pubmed). Participant actions were captured using screen capture software and they were asked to describe their search process. Users did make use of tags in their search process, as a guide to searching and as hyperlinks to potentially useful articles. However, users also made use of controlled vocabularies in the journal database to locate useful search terms and of links to related articles supplied by the database

Cognitive finance: Behavioural strategies of spending, saving, and investing.

Research in economics is increasingly open to empirical results. The advances in behavioural approaches are expanded here by applying cognitive methods to financial questions. The field of "cognitive finance" is approached by the exploration of decision strategies in the financial settings of spending, saving, and investing. Individual strategies in these different domains are searched for and elaborated to derive explanations for observed irregularities in financial decision making. Strong context-dependency and adaptive learning form the basis for this cognition-based approach to finance. Experiments, ratings, and real world data analysis are carried out in specific financial settings, combining different research methods to improve the understanding of natural financial behaviour. People use various strategies in the domains of spending, saving, and investing. Specific spending profiles can be elaborated for a better understanding of individual spending differences. It was found that people differ along four dimensions of spending, which can be labelled: General Leisure, Regular Maintenance, Risk Orientation, and Future Orientation. Saving behaviour is strongly dependent on how people mentally structure their finance and on their self-control attitude towards decision space restrictions, environmental cues, and contingency structures. Investment strategies depend on how companies, in which investments are placed, are evaluated on factors such as Honesty, Prestige, Innovation, and Power. Further on, different information integration strategies can be learned in decision situations with direct feedback. The mapping of cognitive processes in financial decision making is discussed and adaptive learning mechanisms are proposed for the observed behavioural differences. The construal of a "financial personality" is proposed in accordance with other dimensions of personality measures, to better acknowledge and predict variations in financial behaviour. This perspective enriches economic theories and provides a useful ground for improving individual financial services

Code Park: A New 3D Code Visualization Tool

We introduce Code Park, a novel tool for visualizing codebases in a 3D game-like environment. Code Park aims to improve a programmer's understanding of an existing codebase in a manner that is both engaging and intuitive, appealing to novice users such as students. It achieves these goals by laying out the codebase in a 3D park-like environment. Each class in the codebase is represented as a 3D room-like structure. Constituent parts of the class (variable, member functions, etc.) are laid out on the walls, resembling a syntax-aware "wallpaper". The users can interact with the codebase using an overview, and a first-person viewer mode. We conducted two user studies to evaluate Code Park's usability and suitability for organizing an existing project. Our results indicate that Code Park is easy to get familiar with and significantly helps in code understanding compared to a traditional IDE. Further, the users unanimously believed that Code Park was a fun tool to work with.Comment: Accepted for publication in 2017 IEEE Working Conference on Software Visualization (VISSOFT 2017); Supplementary video: https://www.youtube.com/watch?v=LUiy1M9hUK

Evaluating hierarchical organisation structures for exploring digital libraries

Search boxes providing simple keyword-based search are insufficient when users have complex information needs or are unfamiliar with a collection, for example in large digital libraries. Browsing hierarchies can support these richer interactions, but many collections do not have a suitable hierarchy available. In this paper we present a number of approaches for automatically creating hierarchies and mapping items into them, including a novel technique which automatically adapts a Wikipedia-based taxonomy to the target collection. These approaches are applied to a large collection of cultural heritage items which is formed through the aggregation of other collections and for which no unified hierarchy is available. We investigate a number of novel user-evaluated metrics to quantify the hierarchies’ quality and performance, showing that the proposed technique is preferred by users. From this we draw a number of conclusions as to what makes a hierarchy useful to the user

Public Accountability: Performance Measurement, The Extended State, And The Search For Trust

In an Academy partnership with the Kettering Foundation, National Academy of Pubic Administration Fellows Melvin J. Dubnick and H. George Frederickson have completed a study of accountability. The study, Public Accountability: Performance Measurement, The Extended State, and the Search for Trust, is a treatment of the strengths and weaknesses of contemporary applications of accountability to public affairs. The working title of the study was Public Accountability: From Ambulance Chasing to Accident Prevention, but that title was thought to lack the dignity such an important subject deserves. Dubnick and Frederickson challenge the often assumed relationship between performance measurement and accountability. They give special attention to accountability challenges associated with the outsourcing of government work, what they call the Extended State. And, they provide examples of effective public accountability in the context of high trust public-private partnerships

Analysis of Online Conversations for Giving Sense to Sustainable Tourism in the Adriatic-Ionian Region

The role of online conversation analysis on tourism and sustainability is underrated, especially in policymaking and management of sustainability of tourist destinations. The paper reports an analysis of online conversations retrieved from Twitter during the 2016 peak season, referring to four main destinations located in the Adriatic-Ionian region. The focus is analyzing the meaning of the expression “sustainable tourism” as emerging from online texting. Findings are that private users do not talk about sustainability and features of sustainable tourism while using Twitter, enforcing the idea that sustainable tourism has popular “meaning” and “appeal” possibly different from scientific approach. Users tell exclusively on leisure features of destinations, and public bodies neglect the opportunity of using Twitter for image building and web listening. Private companies, public administrators, and policymakers should benefit from the exposed procedures for online conversation analyses in designing and organizing their respective tasks. Researchers and destination managers would be also interested in the existing divide between official documents and statements on sustainability and sustainable tourism and reality of popular perception of the issue

The state of semantic technology today - overview of the first SEALS evaluation campaigns

This paper describes the first five SEALS Evaluation Campaigns over the semantic technologies covered by the SEALS project (ontology engineering tools, ontology reasoning tools, ontology matching tools, semantic search tools, and semantic web service tools). It presents the evaluations and test data used in these campaigns and the tools that participated in them along with a comparative analysis of their results. It also presents some lessons learnt after the execution of the evaluation campaigns and draws some final conclusions

Implementing Lean Practices in an Academic Department: A Case Study

Lean approaches to continuous improvement, originally practiced and perfected by Toyota Motor Company, have been widely used in the industry sector for many decades. There is a growing trend at universities to adopt lean practices to improve higher education processes. Reduced financial support and growing competition amongst universities and academic programs motivate the implementation of lean practices both at university and department levels.1 Colleges and universities that have adopted lean practices are driven by the need to strategically leverage resources to meet stakeholder expectations, reduce waste or costs, and improve satisfaction with under-performing processes.2 This paper presents an overview of the continuous improvement journey at a university and demonstrates proof of concept via a case study which describes a Kaizen event performed in a multi-disciplinary academic department, in a college of engineering. Higher education is a labor-intensive process, and the department seeks to eliminate non-value added activities of faculty and staff, reduce time and effort required in daily processes, and to improve student learning experiences in the department. These all illustrate important concepts that engineering management education delivers to students. The approach, challenges, and outcomes are presented in the paper to inform best practices in lean higher education

Is the Cell Really a Machine?

It has become customary to conceptualize the living cell as an intricate piece of machinery, different to a man-made machine only in terms of its superior complexity. This familiar understanding grounds the conviction that a cell's organization can be explained reductionistically, as well as the idea that its molecular pathways can be construed as deterministic circuits. The machine conception of the cell owes a great deal of its success to the methods traditionally used in molecular biology. However, the recent introduction of novel experimental techniques capable of tracking individual molecules within cells in real time is leading to the rapid accumulation of data that are inconsistent with an engineering view of the cell. This paper examines four major domains of current research in which the challenges to the machine conception of the cell are particularly pronounced: cellular architecture, protein complexes, intracellular transport, and cellular behaviour. It argues that a new theoretical understanding of the cell is emerging from the study of these phenomena which emphasizes the dynamic, self-organizing nature of its constitution, the fluidity and plasticity of its components, and the stochasticity and non-linearity of its underlying processes