1,721,339 research outputs found
Analyzing Data Quality Investments in CRM - A Model-based Approach
No full textKnown as Customer Relationship Management (CRM) in recent years a concept for business that focuses customers is often discussed in research and practice. After initially extraordinary expectations, numerous CRM projects fail. Thereby as one of the major reasons an overestimated and poor data quality is very frequently mentioned. Many authors assume a positive correlation between data quality and CRM, but nevertheless this can often not be (obviously) justified. This article aims to contribute to this research and analyses data quality investments in customer relationship management. By providing an explanation model we analyze the interdependences. With this model, it can be shown that data quality investments do not necessarily result in lasting or intensive customer relationships. In addition to the scientific contribution provided by the model, it builds the basis for derive recommendations for practice
Designing and evaluating an interactive assessment instrument to improve the process for mobile service application innovation
No full textAction design research: a comparison with canonical action research and design science
No full textThis research in progress paper addresses the IS issue in relation to conducting relevant research while keeping academic rigor. In particular, it contributes to the ongoing academic conversation around the investigation on how to incor-porate action in design science research. In this document the philosophical underpinnings of the recently proposed methodology called Action Design Re-search [1] are derived, outlined and integrated into Burrel and Morgan’s Par-adigmatic Framework (1979)[6]. The results so far show how Action Design Research can be considered as a particular case of Design Science Research (rather than a methodology closely related to Action Research) although they can assume two different epistemological positions. From these philosophical perspectives, future works will involve the inclusion of actual research projects using the three different methodologies. The final goal is to outline and structure the divergences and similarities of Action Design Research with Design Science Research and Canonical Action Research
Differences in driver behaviour between novice and experienced drivers: A driving simulator study
No full textThis study is an extension of a previous work where differences between race-car drivers and normal drivers has been investigated in a high-speed driving task. The study focused on gaining knowledge about driver differences that can be helpful in designing an adaptive ADAS by introducing the driver into the control loop. The present study takes this research forward and is oriented around finding the differences between novice and normal (experienced) drivers while performing a double lane change maneuver and a high-speed cornering task. The study aimed at finding parameters capable of differentiating the two groups with special emphasis on steering behaviour. Part A of the test procedure required the participants to complete a double lane change at various speeds (from 70km/h to 105km/h). Data analysis showed that late initial steering input given by the novices compared to the experienced drivers was the main reason for their poor performance. Steering metrics like timing of steering input, average steering rate and average steering jerk showed statistically significant differences between the two groups. Part B of the experiment required the participants to drive around a flat oval track to achieve the fastest lap times. Analysis showed that higher steering activity and differences in path strategy were the main reasons for lower lap-times shown by the experienced drivers compared to the novice drivers. Steering metrics like average steering rate, steering jerk showed higher values for the experienced group.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Biomechatronics & Human-Machine ControlIntelligent Vehicle
Intelligent Provision of Tailored, Easily Understood, and Trusted Health Information for Patient Empowerment
Get PDFAlthough digital transformation in healthcare is accelerating, there is still a disconnect between current healthcare, focused on disease management, and a more holistic approach that looks at the health and wellbeing of the whole person. The latter approach aims at empowering patients and other health information seekers by improving their comprehension of their health so that they can manage it better. Currently, few stand-alone applications for patient empowerment exist and they seldom help users to understand health information. Thus, health information seekers often interact with the Web through generic search engines, which often produce results that are overwhelming, too generic, and of poor quality. This paper shows how the use of Artificial Intelligence (AI) in a responsible way may provide patients and others with health higher quality information that empowers them to improve their health and wellbeing. It presents an AI engine that extracts health content from the Web and provides the user with health information that is relevant, trustworthy, and easy to understand. The AI engine has been used to create an Intelligent Empowering Agent (IEA) that dialogues with users in simple language to provide customised information on symptoms and diseases, which helps them form their own evidence-based opinion on health matters that concern them
A usage-based data extraction framework for cloud-based application - an human-computer interaction approach
Get PDFFeatures or functionalities provided by cloud-based applications are accessed by users through various interfaces
such as web browser, mobile app, and command line interface. Yet for monitoring cloud-based applications,
software developers and researchers have focused on web browsers. Software updates are provided
for such applications based on the data acquired from the cloud monitoring components but usage data of the
cloud application features are difficult to extract in a cloud environment as the usage data is spread across the
interfaces on the front-end and the back-end. In this paper, we focus on the usage of the cloud application
features from the user perspective and how to extract these data in a cloud environment. We define six criteria
for the user-level usage data, analyse the existing usage data extraction techniques and propose a usage data
extraction framework adhering to the defined criteria
Characteristics and Subjective Evaluation of an Intelligent Empowering Agent for Health Person Empowerment
Get PDFEmpowerment is a process through which people acquire the necessary knowledge and self-awareness to understand their health conditions and treatment options, self-manage them, and make informed choices. Currently, few stand-alone applications for patient empowerment exist and people/patients often go on the Web to search for health information. Such information is mainly obtained through generic search engines and it is often overwhelming, too generic, and of poor quality. Intelligent Empowering Agents (IEA) can filter such information and assist the user in the understanding of health information about specific complaints or health in general. We have designed and developed a first prototype of an IEA that dialogues with the user in simple language, collects health information from the Web, and provides tailored, easily understood, and trusted information. It empowers users to create their own comprehensive and objective opinion on health matters that concern them. The paper describes the IEA main characteristics and presents the results of subjective tests carried out to assess the effectiveness of the IEA. Twenty-eight Master students in Digital Health filled an online survey presenting questions on usability, user experience and perceived value. Most respondents found the IEA easy to use and helpful. They also felt that it would improve communication with their doctors
An alternate learning approach for destructive testing in civil engineering - Benefits from remote laboratory experimentation
No full textAn alternative learning approach for destructive testing of structural specimens in civil engineering is\ud
explored by using a remote laboratory experimentation method. The remote laboratory approach focuses on\ud
overcoming the constraints in the hands-on experimentation without compromising the understanding of the\ud
students on the concepts and mechanics of reinforced concrete structures. The goal of this study is to evaluate whether or not the remote laboratory experimentation approach can become a standard in civil engineering teaching. The teaching activity using remote-laboratory experimentation is presented here and the outcomes of this activity are outlined. The experience and feedback gathered from this study are used to improve the remote-laboratory experimentation approach in future years to other aspects of civil engineering where destructive testing is essential
Differences in driver behaviour between race and experienced drivers: A driving simulator study
No full textSafety is one of the major areas of concerns today in the field of automotive development. Different safety measures have and are being introduced in order to improve driver/passenger and pedestrian safety. Advanced driver assist systems (ADAS) are therefore becoming increasingly important in their role of reducing driver crash risk. A shortcoming of the ADAS systems is that the variability in drivers based on skill and experience is not taken into account and the system is often designed for average or worst case driver performance thereby compromising on the dynamic behaviour of the vehicle. This study focuses on understanding and quantifying the differences in drivers. This knowledge of driver differences can be helpful in designing an adaptive ADAS by introducing the driver into the control loop. The study investigates differences between race-car drivers and normal (experienced) drivers in a high-speed driving task. The study analyses simulator data for 17 drivers on the Mallory Park test circuit. The driving task required the participants to drive around the circuit to achieve the fastest lap times. Analysis showed that higher steering activity and differences in path strategy were the main reasons for lower lap-times shown by the expert race drivers compared to the non-expert drivers. Steering metrics like average steering rate, steering jerk showed higher values for the expert group and distance traveled around the corner showed a different path strategy adopted by the experts. Both groups showed improvement in performance based on lap-times across the different sessions. Thus the study shows that expert and non-expert drivers have different steering behaviour and path strategy, which can be attributed to differences in driving experience, vehicle dynamics knowledge and vehicle control skills.Biomechatronics & Human-Machine ControlIntelligent Vehicle
A Conceptual framework supporting pattern design selection for scientific workflow applications in cloud computing
No full textScientific Workflow Applications (SWFA) play a vital role for both service consumers and service providers in designing and implementing large and complex scientific processes. Previously, researchers used parallel and distributed computing technologies, such as utility and grid computing to execute the SWFAs, these technologies provide limited utilization for the shared resources. In contrast, the scalability and flexibility challenges are better handled by using cloud-computing technologies for SWFA. Since cloud computing offers a technology that can significantly utilize the amounts of storage space and computing resources necessary for processing large-size and complex SWFAs. The workflow pattern design has provided the facility of re-using previously developed workflow solutions that enable the developers to adopt them for the considered SWFA. Inspired by this, the researchers have adopted several patterns of design to better design the SWFA. Effective pattern design that can consider challenges that may not become visible only in the implementation stage of a SWFA. However, the selection of the most effective pattern design in accordance with an execution method, data size, and problem complexity of a SWFA remains a challenging task. Motivated by this, we have proposed a conceptual framework that facilitates in recommending a suitable pattern design based on the quality requirements and capabilities are given and advertised by cloud consumers and providers, respectively. Finally, guidelines to assist in a smooth migrating of SWFA from other computation paradigms to cloud computing.Transport and PlanningPolicy Analysi
- …
