Taking context into account in conceptual models using a Model Driven Engineering approach

Brossard, Arnaud; Abed, Mourad; Kolski, Christophe

doi:10.1016/j.infsof.2011.06.011

Cited by 31 publications

(13 citation statements)

References 26 publications

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“…18 About the Participants In the first test series, all participants 6) were male. The younger participants in this series were between 26 and 29 years ( 27.7 years) old, the older participants between 57 and 62 years ( 59.3 years).…”

Section: Resultsmentioning

confidence: 99%

“…Research papers that deal with passenger information systems mostly focus on technical aspects, such as the theoretical modeling and technical implementation of context information (Eichler et al [17] or Brossard, Abed and Kolski [18]). Others focus on the system description of certain applications (such as Liikka et al [19] describing KAMO or García et al [20], presenting a yet unnamed system).…”

Section: Related Workmentioning

confidence: 99%

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Improving User Experience for Passenger Information Systems. Prototypes and Reference Objects

Wirtz

Jakobs

2013

IEEE Trans. Profess. Commun.

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Research problem: This study explores how established patterns, means, and services influence the users' first experience when encountering a novel self-service application. The application (DB Cairo) is a passenger information system for public transportation running on mobile phones. Research questions: Is the users' first experience with the application influenced by established communicative patterns, means, and services? Are they used as reference objects? Which attributes of the application are relevant? Is there a leading reference object (prototype)? Do reference objects vary depending on the personal factors age and gender? Literature review: Little is known about user experience in first contact situations regarding passenger information systems. For our investigations, we used a theoretical framework combining Linguistic Evaluation Theory, Prototype Theory, and Linguistic Genre Theory: Evaluations are regarded as an integral part of user experience. Evaluation is conceptualized as an act where a subject evaluates an object with a certain purpose at a certain time by comparing it with other objects. Every object has various attributes-some are relevant for the evaluation, and others are not. Communication quality is seen as a crucial complex attribute for the evaluation of communicative applications. Methodology: We conducted a qualitative study: Data from two user test series with thinking-aloud protocols and retrospective interviews were analyzed with qualitative content analysis procedures. The participants were male and female, age 25-35 or 55-65, mobile-phone users, and multimodal travellers. The tests were conducted in a laboratory with a computer-based mobile-phone emulator. Results and conclusions: Results show that the participants explore the application by comparing its attributes with attributes of reference objects. Reference objects vary depending on attributes of the application. Regarding topic-related attributes, participants rely on established artifacts, which form a topic-related multimedia network. Within this network, the website of German Railways functions as prototype. Age-and gender-specific differences were not detected. The findings indicate that research into user experience and development practice could benefit from reconstructing and analyzing topic-related artifacts. Limitations of the study were a small sample size, the test location, and environment. Future challenges are the investigation of influencing factors and the development of new methods/tools for data collection in field studies.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Improving User Experience for Passenger Information Systems. Prototypes and Reference Objects

Wirtz

Jakobs

2013

IEEE Trans. Profess. Commun.

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“…The application domain is focused on the design of adaptable, adaptive, and personalized HCI as used by different types of users. The pedagogic content is grounded on several works, such as those of Rasmussen (1986), Schneider-Hufschmidt et al (1993, Hoc and Amalberti (1995), , Brossard et al (2011), as well as the instructor's personal professional experience gained in several industrial projects.…”

Section: Protocolmentioning

confidence: 99%

Patterns of HCI Design and HCI Design of Patterns

Ahmed

2015

Human–Computer Interaction Series

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HCI is a multidisciplinary field focused on human aspects of the development of computer technology. As computer-based technology becomes increasingly pervasive-not just in developed countries, but worldwide-the need to take a humancentered approach in the design and development of this technology becomes ever more important. For roughly 30 years now, researchers and practitioners in computational and behavioral sciences have worked to identify theory and practice that influences the direction of these technologies, and this diverse work makes up the field of human-computer interaction. Broadly speaking it includes the study of what technology might be able to do for people and how people might interact with the technology. The HCI series publishes books that advance the science and technology of developing systems which are both effective and satisfying for people in a wide variety of contexts. Titles focus on theoretical perspectives (such as formal approaches drawn from a variety of behavioral sciences), practical approaches (such as the techniques for effectively integrating user needs in system development), and social issues (such as the determinants of utility, usability and acceptability).

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“…The user lets the system iterate till the outline and relevant contents satisfy his intuition on the background. It seems that the users are able to comparatively quickly change their minds or outlines after gaining some experience with the investigated stimuli from newly detected topics and retrieved contents [36] . Additionally, the applied cluster analysis reveals that the topics are not homogenous in their opinions, and they form new outline having preference structures similar to users' opinions in a dynamic manner.…”

Section: Experimental Analysismentioning

confidence: 99%

A Close-to-linear Topic Detection Algorithm using Relative Entropy based Relevance Model and Inverted Indices Retrieval

Shi¹,

Li²

2012

IJCIS

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Although timely access to information is becoming increasingly important and gaining such access is no longer a problem, the capacity for humans to assimilate such huge amounts of information is limited. Topic Detection(TD) is then a promising research area that addresses speedy access of desired information. However, ironically, the time complexity of existing TD algorithms themselves is usually O(n 3 ) or up to the x-th power of e. Linear performance requirement of real world topic detection has not been significantly addressed. This paper reveals a new patented topic detection algorithm called RMIR that combines relevance model with information retrieval technique to improve on time efficiency. Relevance Model(RM) is a theoretical extension of statistical language modeling that was developed for the task of document retrieval. To reduce the costs of fetching RM, we reduce the number of comparisons for stories by a query-based approach that makes similar stories exist in the top-k query results. We also build our query based on inverted indices, which have the complexity close to linear. The time cost of rest of operations in the RMIR topic detection process is a constant. Hence, the total complexity of RMIR topic detection algorithm should be close to linear as shown in experimental results. In addition, RMIR also gains better detection rates and robustness by relative entropy based topic model design.

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Taking context into account in conceptual models using a Model Driven Engineering approach

Cited by 31 publications

References 26 publications

Improving User Experience for Passenger Information Systems. Prototypes and Reference Objects

Improving User Experience for Passenger Information Systems. Prototypes and Reference Objects

Patterns of HCI Design and HCI Design of Patterns

A Close-to-linear Topic Detection Algorithm using Relative Entropy based Relevance Model and Inverted Indices Retrieval

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