Implementing a Decision-Aware System for Loan Contracting Decision Process

The paper introduces our work related to the design and implementation of a decision-aware system focused on the loan contracting decision process. A decision-aware system is a software that enables the user to make a decision in a simulated environment and logs all the actions of the decision maker while interacting with the software. By using a mining algorithm on the logs, it creates a model of the decision process and presents it to the user. The main design issue introduced in the paper is the possibility to log the mental actions of the user. The main implementation issues are: user activity logging programming and technologies used. The first section of the paper introduces the state-of-the-art research in process mining and the framework of our research; the second section argues the design of the system; the third section introduces the actual implementation and the fourth section shows a running example.Decision-Aware Systems, Decision Activity Logs, Decision Mining, Codeigniter, JSON

Using voice to tag digital photographs on the spot

Tagging of media, particularly digital photographs, has become a very popular and efficient means of organizing material on the internet and on personal computers. Tagging, though, is normally accomplished long after the images have been captured, possibly at the expense of in-the-moment information. Although some digital cameras have begun to automatically populate the various fields of a photograph\u27s metadata, these generic labels often lack in the descriptiveness presented through user-observed annotations and therefore stress the necessity of a user-driven input method. However, most mobile annotation applications demand a great number of keystrokes in order for users to tag photographs and thereby focus the user\u27s attention inward. Specifically, the problem is that these applications require users to take their eyes off the environment while typing in tags. We hypothesize that we can shift the user\u27s focus away from the mobile device and back to their environment by creating a mobile annotation application which accepts voice commands. In other words, our major hypothesis is that a convenient way of tagging digital photographs is by using voice commands

Characterization of End-users’ Engagement and Interaction Experience with Social Media Technologies

People, particularly digital citizens, gain more technological experiences from their frequent usage of social media technologies. Their experience as end-users occurs before, during, and after their engagement and interaction with the technologies and is popularly described using behaviour-related definitions. However, an end-user\u27s experience with technologies goes beyond the \u27click-and-type definition. This prompts the question, what are the user experience elements that define and characterise end-users\u27 engagement and interaction with social media technologies? . Using a case study-based approach, end-users\u27 engagement and interaction with social media technologies were identified. The study\u27s findings indicated that several user experience elements were characterised by emotions, cognitive, and behavioural dimensions. Combining the characteristics of the dimensions resulted in a more holistic view of the engagement and interaction that end-users have with social media technologies

Augmenting human memory using personal lifelogs

Memory is a key human facility to support life activities, including social interactions, life management and problem solving. Unfortunately, our memory is not perfect. Normal individuals will have occasional memory problems which can be frustrating, while those with memory impairments can often experience a greatly reduced quality of life. Augmenting memory has the potential to make normal individuals more effective, and those with significant memory problems to have a higher general quality of life. Current technologies are now making it possible to automatically capture and store daily life experiences over an extended period, potentially even over a lifetime. This type of data collection, often referred to as a personal life log (PLL), can include data such as continuously captured pictures or videos from a first person perspective, scanned copies of archival material such as books, electronic documents read or created, and emails and SMS messages sent and received, along with context data of time of capture and access and location via GPS sensors. PLLs offer the potential for memory augmentation. Existing work on PLLs has focused on the technologies of data capture and retrieval, but little work has been done to explore how these captured data and retrieval techniques can be applied to actual use by normal people in supporting their memory. In this paper, we explore the needs for augmenting human memory from normal people based on the psychology literature on mechanisms about memory problems, and discuss the possible functions that PLLs can provide to support these memory augmentation needs. Based on this, we also suggest guidelines for data for capture, retrieval needs and computer-based interface design. Finally we introduce our work-in-process prototype PLL search system in the iCLIPS project to give an example of augmenting human memory with PLLs and computer based interfaces

The Paleontological Stratigraphic Interval Construction and Analysis Tool

Core description diagrams are the primary record of the cylindrical rock samples that result from the scientific drilling process. Typically, these diagrams are drawn by hand in field books and then drafted up in a graphics program for publication. Very rarely are the actual data encoded in the diagrams, e.g., depth in core, grain size, and lithology, captured in a format that can be manipulated and analyzed. This thesis introduces the Paleontological Stratigraphic Interval Construction and Analysis Tool (PSICAT), an interactive, cross-platform environment for creating, viewing, and editing core description diagrams, and discusses the design and implementation of its extensible software architecture and data model which allows it to seamlessly capture and visualize core description data. PSICAT was used to log nearly 1300 meters of sediment core drilled during ANtarctic DRILLing (ANDRILL) project\u27s McMurdo Ice Shelf expedition

An interactive 3-D application for pain management: Results from a pilot study in spinal cord injury rehabilitation

This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2012 ElevierResearch on pain following spinal cord injury (SCI) has revealed that patients not only experience several types of pain that could prove to be challenging to address, but also that each individual can interpret such pain in different subjective ways. In this paper we introduce a 3-D system for facilitating the efficient management of pain, and thus, supporting clinicians in overcoming the aforementioned challenges. This system was evaluated by a cohort of 15 SCI patients in a pilot study that took place between July and October 2010. Participants reported their experiences of using the 3-D system in an adapted version of the System Usability Scale (SUS) questionnaire. Statistically significant results were obtained with regards to the usability and efficiency of the 3-D system, with the majority of the patients finding it particularly useful to report their pain. Our findings suggest that the 3-D system can be an efficient tool in the efforts to better manage the pain experience of SCI patients

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research