BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual interface for multimodal diagnosis of breast cancer (BreastScreening); 2) Insights from the field comparison of single vs multimodality screening of breast cancer diagnosis with 31 clinicians and 566 images, and 3) The visualization of the two main types of breast lesions in the following image modalities: (i) MammoGraphy (MG) in both Craniocaudal (CC) and Mediolateral oblique (MLO) views; (ii) UltraSound (US); and (iii) Magnetic Resonance Imaging (MRI). We summarize our work with recommendations from the radiologists for guiding the future design of medical imaging interfaces.Comment: AVI 2020 Short Papers, 5 pages, 2 figures, for associated files, see https://github.com/MIMBCD-UI/avi-2020-short-pape

Teaching effective collaborative information delivery and management

This paper explores a pedagogical approach to teaching construction students how to plan, execute and monitor an efficient collaborative information delivery plan from the perspective of managing scope of work, time, resources and communication. This study extends the work of similar studies that tasked students with developing BIM process maps to gauge any shift in the students’ perception on their ability to map the process. In this context, students in the final year of an undergraduate construction management program participate in a team-based project to plan, execute, update and evaluate the efficiency of their collaborative information delivery plan. To plan this process, the students use references including both UK-based BIM Level 2 standards and US-based CIC BIM Project Execution Planning Guide. Through a semester-long sequence of modeling and planning activities, the students specifically aim to address the following learning objectives: (i) define and allocate project- and information delivery responsibilities; (ii) identify information workflows and respective tasks with estimated durations, and (iii) execute and update their plan to record actual tasks, durations and outcomes. Comparing the initial and executed plan would provide the students with the basis to reflect on the influence of formal planning guides on their understanding of efficient collaborative information management and delivery. In this aspect, the study contributes to the knowledge of how to pedagogically deploy industry-oriented process planning approaches for effectively teaching roles and responsibilities for engaging in interdisciplinary teams

A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach

E-commerce start-ups have ventured into emerging economies and are growing at a significantly faster pace. Big data has acted like a catalyst in their growth story. Big data analytics (BDA) has attracted e-commerce firms to invest in the tools and gain cutting edge over their competitors. The process of adoption of these BDA tools by e-commerce start-ups has been an area of interest as successful adoption would lead to better results. The present study aims to develop an interpretive structural model (ISM) which would act as a framework for efficient implementation of BDA. The study uses hybrid multi criteria decision making processes to develop the framework and test the same using a real-life case study. Systematic review of literature and discussion with experts resulted in exploring 11 enablers of adoption of BDA tools. Primary data collection was done from industry experts to develop an ISM framework and fuzzy MICMAC analysis is used to categorize the enablers of the adoption process. The framework is then tested by using a case study. Thematic clustering is performed to develop a simple ISM framework followed by fuzzy analytical network process (ANP) to discuss the association and ranking of enablers. The results indicate that access to relevant data forms the base of the framework and would act as the strongest enabler in the adoption process while the company rates technical skillset of employees as the most important enabler. It was also found that there is a positive correlation between the ranking of enablers emerging out of ISM and ANP. The framework helps in simplifying the strategies any e-commerce company would follow to adopt BDA in future. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature

Facilitating User-System Interaction: the GAIA Interaction Agent

This paper presents the identification, design and implementation of a user interface to a brokerage system and the conceptual architecture and functional behaviour of an intelligent interaction agent that supports and enhances the interaction between the user and the system. The term interaction agent is used in order to describe a particular class of interface agents that function as intelligent personal assistants to users of a computer - based system. The interaction agent provides assistance to the user in two contexts. On the user interface level, it assists users to comprehend and manipulate the user interface. On the domain of application level, it provides users with information and advice according to their preferences. This work is being carried out in the context of an ACTS (AC 221) project GAIA (Generic Architecture for Information Availability)