Designing for experience: Example experience design projects on workspace

Thesis (Master)--Izmir Institute of Technology, Industrial Design, Izmir, 2006Includes bibliographical references (leaves: 94-95)Text in English; Abstract: Turkish and Englishxv, 96 leavesThe great experiences can be deliberate and are based upon principles that have been proven. This thesis study explored the most important of these principles before the practical study. After that, the study focused on making a practical study on the workspace domain in three main phases.In the data collecting phase, experience data was collected for a workspace domain by observing workspace activities. Used methods were photographing, informal interviews, field notes and ethnographic observation. In the data modeling phase, a data model were constructed. Pattern language was used as a base for re-modeling the experience data. The data model is simply a framework that allows the designer to document, collect, communicate and understand all design related information quickly and easily. During the design phase, this framework became the design guideline and was used as a roadmap for every single design idea.Framework also gives the opportunity of defining relations from patterns to patterns and from design ideas to patterns. This flexible opportunity lets the designer visualize experience scenarios with design ideas in a higher level of understanding. Framework has a special data encapsulation format which is inherited from pattern language. According to that format, short pattern names, short essence paragraphs and other sections makes easier to remember, communicate and connect the patterns with new ideas. At the end of the design phase, three different products which are actively related with the experience patterns were designed

Location-aware services and interfaces in smart homes using multiagent systems

Computer systems are fully capable of providing\ud customized interfaces for users. Every time we log on to an ecommerce\ud website we have used before, the interface changes\ud in order to fit our most probable interests. Some sophisticated\ud vehicles adjust the seat position, rearview mirror orientation and\ud other parameters to match the preferences of the drivers when\ud they enter the car -provided that they belong to the set of known\ud drivers-. However, this kind of service customization has not yet\ud reached the home environment. In the same way as computer\ud systems with productivity, the smart home must prevent the user\ud from performing routine and tedious tasks to achieve comfort,\ud security, and effective energy management. In this paper we\ud propose an architecture for building a smart home environment\ud using multiagent systems, and we demonstrate its effectivenes\ud with an application example where multimedia contents follow\ud the user movements throughout the house