Human Mobility Question Answering (Vision Paper)

Question answering (QA) systems have attracted much attention from the artificial intelligence community as they can learn to answer questions based on the given knowledge source (e.g., images in visual question answering). However, the research into question answering systems with human mobility data remains unexplored. Mining human mobility data is crucial for various applications such as smart city planning, pandemic management, and personalised recommendation system. In this paper, we aim to tackle this gap and introduce a novel task, that is, human mobility question answering (MobQA). The aim of the task is to let the intelligent system learn from mobility data and answer related questions. This task presents a new paradigm change in mobility prediction research and further facilitates the research of human mobility recommendation systems. To better support this novel research topic, this vision paper also proposes an initial design of the dataset and a potential deep learning model framework for the introduced MobQA task. We hope that this paper will provide novel insights and open new directions in human mobility research and question answering research

RiPPLE: A crowdsourced adaptive platform for recommendation of learning activities

© 2019, UTS ePRESS. All rights reserved. This paper presents a platform called RiPPLE (Recommendation in Personalised Peer-Learning Environments) that recommends personalized learning activities to students based on their knowledge state from a pool of crowdsourced learning activities that are generated by educators and the students themselves. RiPPLE integrates insights from crowdsourcing, learning sciences, and adaptive learning, aiming to narrow the gap between these large bodies of research while providing a practical platform-based implementation that instructors can easily use in their courses. This paper provides a design overview of RiPPLE, which can be employed as a standalone tool or embedded into any learning management system (LMS) or online platform that supports the Learning Tools Interoperability (LTI) standard. The platform has been evaluated based on a pilot in an introductory course with 453 students at The University of Queensland. Initial results suggest that the use of the RiPPLE platform led to measurable learning gains and that students perceived the platform as beneficially supporting their learning

Mind the gap! Guideline implementation for peripheral venous catheters in paediatric care : documetation, complications, adherence and context

Introduction: There is a knowledge translation gap between evidence, based on research findings and clinical practice. Clinical practice guidelines (CPGs) have been proposed as a strategy to condense and disseminate research findings. However their existence alone does not minimise the gap, they have to be implemented in everyday practice. Registered nurses’ (RNs) work context influences their research use, but little is known on what contextual factors that influence RNs’ adherence to CPGs. Computer reminders have shown potential to minimise the knowledge translation gap, but insights into their effect on patients’ outcomes, RNs’ adherence and in what context they are most effective is still understudied. Aim: to evaluate the effects of implementing recommendations from a CPG for peripheral venous catheters (PVCs) as reminders in electronic patient records (EPR) and to describe factors of importance for the implementation process and outcomes. Methods: the setting for all four papers was a large paediatric university hospital in Sweden. Data for paper I was collected from 14 inpatient units through observations of patients and PVCs, and audit of EPRs. This was carried out at baseline and than two times after implementing a documentation template for PVCs. Data on PVCs and patients for paper II were retrieved from the EPR at 12 inpatient units, divided into neonatal and paediatric units. Paper III was a cross-sectional survey, including 23 in- and outpatient units. Data was collected through a questionnaire concerning RNs’ adherence to CPG recommendations and their work context, measured by the Alberta Context Tool (ACT). Paper IV was a cluster randomised study, at 12 inpatient units, with computer reminders based on the CPG. A stratified randomisation of units, based on occurrence of PVCs, was performed. The primary outcome was documented signs and symptoms of PVC-related complications at removal and secondary outcome was RNs’ adherence to the CPG, and their work context measured by the ACT. Results: A statistical, not clinical, significant increase of PVCs with complete documentation was the result of the PVC template. One of the 22 complications observed at baseline was documented and none of the complications (n=17 and n=9) post-intervention (paper I). Just over one-third (35.4%) of the patients were affected by a PVC-related complication, with infiltration and occlusion occurring most frequently. Complications were more common in younger age patients (paper II). Work context, in the form of structural and electronic resources, information sharing activities, and evaluation, was in different ways associated with RNs’ adherence to the CPG recommendations (paper III). Ninetyone percent of the RNs adhered to the CPG recommendation of disinfection of hands, 64% to usage of disposable gloves and 54% to daily inspection PVC insertion site (paper III). There was no significant effect of the computer reminders, neither on PVC-related complications nor on RNs’ adherence to the guideline recommendations (paper IV). RNs score of their context in both groups (intervention and control) varied from moderately low to moderately high. Conclusion: The EPR did not provide accurate data on PVCs either before or after the implementation of a PVC template. PVC-related complications, specifically infiltration and occlusion, were common, particularly among younger aged patients. RNs adhered to the recommendation on disinfection of hands, while the use of disposable gloves and daily inspection of PVC insertion site showed greater improvement potential. Diverse contextual factors were in different ways associated with RNs’ adherence to the CPG recommendations. The computer reminders did not have any significant effect on PVC-related complications, or on RNs adherence to the CPG recommendation

RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests

Various forms of Peer-Learning Environments are increasingly being used in post-secondary education, often to help build repositories of student generated learning objects. However, large classes can result in an extensive repository, which can make it more challenging for students to search for suitable objects that both reflect their interests and address their knowledge gaps. Recommender Systems for Technology Enhanced Learning (RecSysTEL) offer a potential solution to this problem by providing sophisticated filtering techniques to help students to find the resources that they need in a timely manner. Here, a new RecSysTEL for Recommendation in Peer-Learning Environments (RiPLE) is presented. The approach uses a collaborative filtering algorithm based upon matrix factorization to create personalized recommendations for individual students that address their interests and their current knowledge gaps. The approach is validated using both synthetic and real data sets. The results are promising, indicating RiPLE is able to provide sensible personalized recommendations for both regular and cold-start users under reasonable assumptions about parameters and user behavior.Comment: 25 pages, 7 figures. The paper is accepted for publication in the Journal of Educational Data Minin

Determining Retrofit Technologies for Building Energy Performance

학위논문(석사)--서울대학교 대학원 :공과대학 건축학과,2019. 8. 박문서.Worldwide the building sector is responsible for consuming more than 36% of the final global energy and produces 39% of carbon dioxide emissions. Accordingly, sustainable retrofit is an important method to achieve energy reduction and sustainable development. However, the lack of information on retrofit technologies and their benefits trigger stakeholders opposition to retrofit actions. The Energy Performance Certificate tool can be used to overcome the knowledge gap and boost energy saving by strengthening its recommendation report with retrofit technologies for energy performance. Therefore, this paper attempts to determine the best retrofit technologies to be highlighted in the Energy Performance Certificates recommendation report, by considering stakeholder's opinion. For this purpose, a model based on Quality Function Deployment has been developed. The model analyzes the data regarding stakeholders expectations when deciding to retrofit, and the potential retrofit technologies used. In order to validate the applicability of the proposed model, a case study was conducted in Romania. The findings are expected to contribute to improving the quality of the Energy Performance Certificate, as reflecting stakeholders opinion combined with sustainable concepts to achieve significant energy savings.Table of contents Chapter 1. Introduction １ 1.1 Research Background １ 1.2 Problem statement ５ 1.3 Research Objectives ６ 1.4 Research Process ７ Chapter 2. Preliminary study ９ 2.1 Sustainable Building Retrofit ９ 2.2 Critical factors in the success of a sustainable retrofit process １２ 2.3 Energy Performance Certificates １４ 2.4 Previous research on the EPCs Recommendation Report １７ 2.5 Quality Function Deployment ２１ 2.6 Summary ２５ Chapter 3. Model development ２７ 3.1 House of Quality model for sustainable retrofit ２７ 3.2 Developing the House of Quality model process ……………….３０ 3.3 Summary ３８ Chapter 4. Case Studies ３９ 4.1 Background of Case Study ３９ 4.2 Survey ４１ 4.3 Findings of Case Study ４６ 4.4 Discussions ５８ 4.5 Summary ６１ Chapter 5. Conclusions ６２ 5.1 Research Summary ６２ 5.2 Contributions ６３ 5.3 Further Research ６４ Bibliography ６５ Appendix A – Stakeholders Survey Questionnaire ７１ Appendix B – Stakeholders Survey Results ７４ Appendix C– Accredited Energy Auditors Survey Questionnaire ７７ Appendix D– Accredited Energy Auditors Survey Results ８５Maste

Online Learning of Aggregate Knowledge about Non-linear Preferences Applied to Negotiating Prices and Bundles

In this paper, we consider a form of multi-issue negotiation where a shop negotiates both the contents and the price of bundles of goods with his customers. We present some key insights about, as well as a procedure for, locating mutually beneficial alternatives to the bundle currently under negotiation. The essence of our approach lies in combining aggregate (anonymous) knowledge of customer preferences with current data about the ongoing negotiation process. The developed procedure either works with already obtained aggregate knowledge or, in the absence of such knowledge, learns the relevant information online. We conduct computer experiments with simulated customers that have_nonlinear_ preferences. We show how, for various types of customers, with distinct negotiation heuristics, our procedure (with and without the necessary aggregate knowledge) increases the speed with which deals are reached, as well as the number and the Pareto efficiency of the deals reached compared to a benchmark.Comment: 10 pages, 5 eps figures, ACM Proceedings documentclass, Published in "Proc. 6th Int'l Conf. on Electronic Commerce ICEC04, Delft, The Netherlands," M. Janssen, H. Sol, R. Wagenaar (eds.). ACM Pres

Understanding the consumption process through in-branch and e-mortgage service channels: A first-time buyer perspective

This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here (////BURA web address here). Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.Purpose – The twin aims of this paper are to explore the differences in the consumption process between the traditional in-branch and web-based (e-mortgage) service channels and how the differences relate to any problems identified in the electronic service environment, with respect to information search and product evaluation. Design/methodology/approach – A process-oriented approach comparing the two service channels (in-branch vs e-mortgage) was conducted in two study phases. Data from the e-mortgage process were collected using protocol analysis with 12 first-time buyers (FTBs) applying on a website belonging either to a hybrid or to an internet-only bank. Results of the e-mortgage process were mapped on to stages of the in-branch process, which was captured by observation of six FTB mortgage interviews to determine the level of correspondence and emergent issues. Findings – Support for the FTB in the e-mortgage process was problematic and service provision was found to be product- rather than consumer-oriented. Practical implications – The study highlights the importance of design issues in the electronic service environment for creating confidence in the online advice and information available on home mortgages for FTBs. Originality/value – The paper promotes increased understanding by financial service providers of the characteristics that support the consultative selling process for complex products such as mortgages and inform multichannel retailing

Negotiating over Bundles and Prices Using Aggregate Knowledge

Combining two or more items and selling them as one good, a practice called bundling, can be a very effective strategy for reducing the costs of producing, marketing, and selling goods. In this paper, we consider a form of multi-issue negotiation where a shop negotiates both the contents and the price of bundles of goods with his customers. We present some key insights about, as well as a technique for, locating mutually beneficial alternatives to the bundle currently under negotiation. The essence of our approach lies in combining historical sales data, condensed into aggregate knowledge, with current data about the ongoing negotiation process, to exploit these insights. In particular, when negotiating a given bundle of goods with a customer, the shop analyzes the sequence of the customer's offers to determine the progress in the negotiation process. In addition, it uses aggregate knowledge concerning customers' valuations of goods in general. We show how the shop can use these two sources of data to locate promising alternatives to the current bundle. When the current negotiation's progress slows down, the shop may suggest the most promising of those alternatives and, depending on the customer's response, continue negotiating about the alternative bundle, or propose another alternative. Extensive computer simulation experiments show that our approach increases the speed with which deals are reached, as well as the number and quality of the deals reached, as compared to a benchmark. In addition, we show that the performance of our system is robust to a variety of changes in the negotiation strategies employed by the customers.Comment: 15 pages, 7 eps figures, Springer llncs documentclass. Extended version of the paper published in "E-Commerce and Web Technologies," Kurt Bauknecht, Martin Bichler and Birgit Pr\"{o}ll (eds.). Springer Lecture Notes in Computer Science, Volume 3182, Berlin: Springer, p. 218--22