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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Desired Qualities of Mobility-as-a-Service : Informing User-centred Service Design

Baduna, Maryam January 2021 (has links)
Desired qualities of Mobility-as-a-Service (MaaS) represent what potential users want, hope for, and expect of MaaS without having experienced the service yet. Knowledge about the desired qualities is essential to design MaaS to meet users’ needs. However, little attention has been paid to understand potential users' desired qualities in the literature on MaaS. This paper addresses this void in literature with an explorative study with potential MaaS users in Sweden. The results of the study are desired qualities of MaaS such as reliability, entertainment and inclusivity. The study contributes with a thematization and classification of desired qualities of MaaS. The themes are desired qualities that make life easier, desired qualities that provide assurance, desired qualities that reward, desired qualities that appeal to inclinations and desired qualities that maintain preferred habits. The four levels of classification are functional, emotional, life-changing, and social significance. Researchers and service designers could work backward from these desired qualities to design user-centred services towards user satisfaction.
2

A Qualitative Study on Expectations of Potential Users of Connected and Automated Vehicles (CAVs)

Nkemchor Adejo, Regina January 2022 (has links)
The expectations of potential users of Connected and Automated Vehicles (CAVs) reveal howusers conceptualize the technology, how they expect it to serve them and what they need from the service. Previous studies of CAVs have concentrated research on user adoption, willingness to use, pay, and future challenges of the technology. However, a few studies have explored the expectations of potentialusers of CAVs. The knowledge of the expectations of potential users is essential for service designers to understand the needs of each category of users to enhance user-level satisfaction and prioritize different alternatives for service improvements. Through a qualitative and explorative study of potential users inSweden, this study presents three categories of the expectations of potential users of CAVs: Optimistic,Pessimistic, and Contradictory expectations. The Optimistic expectations represent potential users'positive insights of what they need for CAVs to be a successful innovation. The Pessimistic expectations relate to the potential user's hope that adverse events will happen in the introduction of CAVs and thatthe service will produce negative outcomes. The Contradictory expectations are conflicting expectations that potential users have for CAVs which share both optimistic and pessimistic views. This studydiscusses the implications of the categories of the expectations of potential users for service designersand researchers. The study also proposes future recommendations for the extension of this researchwork.
3

Structuring and Modelling Competences in the Healthcare Area with the help of Ontologies

Ayub, Muhammad, Jawad, Muhammad January 2009 (has links)
<p>Ontology development is a systematic technique to represent the existing and new knowledge about a specific domain by using some models to present the system in which <em>conceptualization</em> is involved. This thesis presents the use of ontologies to formally represent ontology-based competence model for potential users of quality registry report in a healthcare organization. The model describes the professional and occupational interests and needs of the users through structuring and describing their skills and qualifications. There are individual competences model having two main parts: general competence and occupational competence. The model is implemented in an ontology editor. Although our competence model gives the general view about all medical areas in a hospital, from implementation point of view, we have considered only Cardiology area in detail. The potential users of quality registry are medical staff, county council staff and Pharmaceutical staff. In this report we have also used different classifications of education, occupational fields and diseases. A user can get information about the patient and specific disease with treatment tips by using various organizational resources: i.e. quality registries, electronic medical reports, and online journals. Our model also provides a support of information filtering which filters the information according to the need and the competencies of the users.</p>
4

Structuring and Modelling Competences in the Healthcare Area with the help of Ontologies

Ayub, Muhammad, Jawad, Muhammad January 2009 (has links)
Ontology development is a systematic technique to represent the existing and new knowledge about a specific domain by using some models to present the system in which conceptualization is involved. This thesis presents the use of ontologies to formally represent ontology-based competence model for potential users of quality registry report in a healthcare organization. The model describes the professional and occupational interests and needs of the users through structuring and describing their skills and qualifications. There are individual competences model having two main parts: general competence and occupational competence. The model is implemented in an ontology editor. Although our competence model gives the general view about all medical areas in a hospital, from implementation point of view, we have considered only Cardiology area in detail. The potential users of quality registry are medical staff, county council staff and Pharmaceutical staff. In this report we have also used different classifications of education, occupational fields and diseases. A user can get information about the patient and specific disease with treatment tips by using various organizational resources: i.e. quality registries, electronic medical reports, and online journals. Our model also provides a support of information filtering which filters the information according to the need and the competencies of the users.

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