People, Product and Experiences - User Centered Design of Mobile Mixed Reality Applications

Amandeep Dhir

AbstractThis thesis is based on the newly emerging area of Mobile Mixed Reality (MMR) which is still a futuristic concept for most of the people. According to User Centered Design (UCD) principles, it is important to take potential users into account in pursuing a successful application based on novel technologies, such as mixed reality (MR).
User Experience (UX) refers to users' perceptions and responses that result from the use or anticipated use of a product, system or service. The main purpose and goal of this thesis was to apply UCD and UX approaches in designing MMR applications.
Empirical UCD was performed by using focus groups, questionnaire and scenarios. As a result, it was found that majority of the user needs were pragmatic such as personalization, reliability, relevance and usefulness. I implemented four semifunctional prototypes and ve non-functional proofs of concept on MMR based on UCD study results.
UX evaluation was carried by using SUXES, AttrakDi and Emocard in order to assess as well as improve the UX of the created prototypes and proofs of concept. UX evaluation results shows that concreteness, realizability, personalization, novelty, intuitiveness and usefulness were some of the deciding factors for user expectations and perceptions in regard to MMR.
Studying user expectations is essential for designing products on novel and futuristic technologies such as MMR. Understanding of user expectations can potentially help in the approximation of UX even before the actual implementation and interaction with user. All the prototypes and proof of concept received high grade in terms of use experience and overall acceptance in the UX evaluation results.
This thesis has methodologically validated that products developed based on UCD receive higher acceptance in di fferent UX evaluations.
TypeMaster's thesis [Academic thesis]
Year2011
PublisherTechnical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk
AddressAsmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark
SeriesIMM-M.Sc.-2011-48
NoteSupervised by Associate Professor Assistant Professor Michael Kai Petersen, mkp@imm.dtu.dk, Associate Professor Jakob Eg Larsen, jel@imm.dtu.dk, DTU Informatics, and Professor Antti Yla Jaaski, Aalto University
Electronic version(s)[pdf]
Publication linkhttp://www.imm.dtu.dk/English.aspx
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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