Eye Tracking Experiments on Process Model Comprehension: Lessons Learned

2017 ◽  
pp. 153-168 ◽  
Author(s):  
Michael Zimoch ◽  
Rüdiger Pryss ◽  
Johannes Schobel ◽  
Manfred Reichert
Keyword(s):  
Eye Tracking ◽  
Process Model ◽  
Lessons Learned

scholarly journals Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights

2019 ◽  
pp. 475-481 ◽  
Author(s):  
Amine Abbad Andaloussi ◽  
Tijs Slaats ◽  
Andrea Burattin ◽  
Thomas T. Hildebrandt ◽  
Barbara Weber
Keyword(s):  
Eye Tracking ◽  
Process Model ◽  
Hybrid Process

The Importance of Managing Strategic IT Project Contracts Using a Business Process Approach

2016 ◽  
Vol 7 (4) ◽  
pp. 52-63 ◽  
Author(s):  
Terry R. Adler ◽  
Thomas G. Pittz
Keyword(s):  
Information Technology ◽  
Project Management ◽  
Process Model ◽  
Firm Strategy ◽  
Risk Identification ◽  
Lessons Learned ◽  
It Project Management ◽  
Strategic Process ◽  
Increased Risk ◽  
It Project

Much has been written about managing information technology (IT) project contracts and their ultimate effect on fulfilling an organization's strategy. The integration of managing IT projects, contracts and firm strategy, however, continues to capture the attention of scholars and practitioners. This paper discusses the integration of these issues while providing a necessary process framework of how project contracts become strategic to firms when repeated transactions, increased risk identification, enhanced trust over time, and improved exploration and learning are present. IT project management has been and continues to be a growth profession, and the use of IT project contracts to outsource work has been increasing in importance as well. The authors have found that IT project management is collaborative when work is administered through information technology contracts that respond to organizational objectives. Because of the variance in how IT contracts are managed, they develop a strategic process model and discuss two lessons learned to better facilitate managing IT contracts. The proposed model and lessons learned provide insight so that the achievement of organizational strategy can be improved through simultaneous IT project and goal alignment.

Eye tracking and online search: Lessons learned and challenges ahead

2008 ◽  
Vol 59 (7) ◽  
pp. 1041-1052 ◽  
Author(s):  
Lori Lorigo ◽  
Maya Haridasan ◽  
Hrönn Brynjarsdóttir ◽  
Ling Xia ◽  
Thorsten Joachims ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Lessons Learned ◽  
Online Search

Collaborative development of open content: A process model to unlock the potential for African universities (originally published in February 2003)

First Monday ◽  
2007 ◽  
Author(s):  
Derek Keats
Keyword(s):  
Software Development ◽  
Open Source Software ◽  
Teaching And Learning ◽  
Process Model ◽  
Lessons Learned ◽  
High Quality ◽  
Operational Model ◽  
Collaborative Development ◽  
Open Content ◽  
The Cost

Given the cost of content, the under-resourcing of universities and the scattered nature of expertise in Africa, the collaborative development of open content seems like a useful way to get high-quality, locally-relevant content for using to enhance teaching-and-learning. However, there is currently no published operational model to guide institutions or individuals in creating collaborative open content projects. This paper examines lessons learned from open source software development and uses these lessons to build the foundations of a process model for the collaborative development of open content.

Teaching Sustainable Design Within a Product Innovation Process in Mexico: Linking Two One-Semester Design Courses

2013 ◽  
Author(s):  
Vicente Borja ◽  
Javier N. Ávila Cedillo ◽  
Marcelo López-Parra ◽  
Alejandro C. Ramírez-Reivich ◽  
Arturo Treviño Arizmendi ◽  
...  
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Undergraduate Students ◽  
Process Model ◽  
Industrial Design ◽  
Innovation Process ◽  
Lessons Learned ◽  
Economic Feasibility ◽  
Product Development Process ◽  
Background Information

This paper documents the process, the outcomes and the lessons learned from two design courses aimed at incorporating environmental, economic and social concerns during the product development process. These courses are co-taught by professors of the Engineering and the Industrial Design Schools of the Universidad Nacional Autónoma de México (UNAM). Each course lasts one academic semester and includes engineering graduate and undergraduate students from industrial design and engineering. The two courses are “New Product Development” (NPD) and “Design for Sustainability” (DS). The NPD course runs in collaboration with the University of California at Berkeley (UCB) and it has been taught at UNAM since 2008. The course fosters the development of product concepts that address particular user needs related to sustainability issues and enhance user’s experience and innovation. The DS course is aimed at introducing students to the most representative approaches, methodologies and tools related to sustainability. DS takes the NPD process as a background, i.e. takes the NPD product concept produced by students and evaluates its environmental impact, and its technical and economic feasibility. Some issues on entrepreneurship and social responsibility are also covered. For both courses design projects are paramount. Some of the projects carried out by the students during the courses are proposed by students themselves and some others are put forward by companies. The first part of this paper includes some background information on representative sustainability courses reported in the literature. Then the complete process model comprised by the NPD and DS courses is presented. Some details of the actual courses contents and lecture activities are also described. Representative projects developed within the courses, one of which is now a startup company, are presented. Finally, insights and lessons learned are discussed.

scholarly journals What Went Wrong for Bad Solvers during Thematic Map Analysis? Lessons Learned from an Eye-Tracking Study

2019 ◽  
Vol 9 (1) ◽  
pp. 9 ◽  
Author(s):  
Lenka Havelková ◽  
Izabela Małgorzata Gołębiowska
Keyword(s):  
Problem Solving ◽  
Eye Tracking ◽  
General Problem ◽  
Questionnaire Survey ◽  
Lessons Learned ◽  
Tracking Data ◽  
Thematic Map ◽  
Incorrect Answer ◽  
Improper Use ◽  
Map Analysis

Thematic map analysis is a complex and challenging task that might result in map user failure for many reasons. In the study reported here, we wanted to search for differences between successful and unsuccessful map users, focusing—unlike many similar studies—on strategies applied by users who give incorrect answers. In the eye-tracking study, followed by a questionnaire survey, we collected data from 39 participants. The eye-tracking data were analyzed both qualitatively and quantitatively to compare participants’ strategies from various perspectives. Unlike the results of some other studies, it turned out that unsuccessful participants show some similarities that are consistent across most analyzed tasks. The main issues that characterize bad solvers relate to improper use of the thematic legend, the inability to focus on relevant map layout elements, as well as on adequate map content. Moreover, they differed in the general problem-solving approach used as they, for example, tended to choose fast, less cautious, strategies. Based on the collected results, we developed tips that could help prevent unsuccessful participants ending with an incorrect answer and therefore be beneficial in map use education.

scholarly journals Introducing the PRIDAL model for linking routine health and identifiable patient reported questionnaire data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Mark Kingston ◽  
Martin Heaven ◽  
Helen Snooks ◽  
Hayley Hutchings
Keyword(s):  
Process Model ◽  
Data Linkage ◽  
Randomised Trial ◽  
Experimental Studies ◽  
Lessons Learned ◽  
Questionnaire Data ◽  
Data Matching ◽  
Patient Reported ◽  
Identifiable Data

ABSTRACTObjectives To present an efficient privacy-protecting model (PRIDAL) for linking routine and identifiable patient-reported research data. To describe the application of the PRIDAL model with within a major portfolio trial linking a range of health and demographic datasets pertaining to >230,000 patients, alongside >2,300 questionnaires. To summarise the lessons learned from the application of the PRIDAL model. ApproachThe rise in availability, quality and use of routine health data has resulted in well-developed methods for anonymised linkage of data from multiple sources. However methods for combining identifiable data (e.g. patient-reported questionnaires) with routine anonymised data are not yet tried and tested. Linking these data presents opportunities to improve the feasibility and effectiveness of observational and experimental studies, but emerging data linkage processes must address the appropriate balance between data security and usability. The Process for Routine and Identifiable Data Linkage (PRIDAL) was devised to efficiently link routine hospital data and patient-reported quality of life and quality of care questionnaire data as part of the PRISMATIC trial (http://www.trialsjournal.com/content/14/1/301). This is a mixed methods progressive cluster randomised trial of the efficacy of an emergency admission risk prediction tool in primary care, funded by the NIHR HS&DR programme. PRIDAL was conceived by a group of specialists in e-trials, health informatics, information governance and process mapping who reviewed data sources, flows, owners, and security to develop a practical and intuitive process model. ResultsWe will present the PRIDAL process model and describe its application in relation to the PRISMATIC study. We will demonstrate that the model achieves high data matching rates (>99%), and consider the lessons learnt from its application. ConclusionsThe linking of routine health and patient self-reported data presents a valuable opportunity in health research, but clear, replicable models, are needed to support ethical and practical data linkage. We present the fully tested PRIDAL model as a potential solution.

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