Advances in communication technology have led to the growth of what is called Ambient Intelligence (AmI). AmI refers to an environment which is intelligent and has advanced computing, networking technology and specific interfaces. It is aware of the specific characteristics of human presence and personalities, takes care of what people need and is capable of responding intelligently according to different activities, and even can engage in intelligent dialogue with the user. Variability of location and system behavior is a central issue in AmI, where behavior of software has to change and re-adapt to the different location settings. AmI refers to an environment that acts on behalf of humans. It is sensitive, contextualized, responsive, interconnected, transparent, and intelligent. This environment is coupled with ubiquity of computing devices that enables it to react differently according to different actions, and even to take the initiative towards fulfilling human needs. Security, privacy, and trust challenges are amplified with AmI computing model and need to be carefully engineered. From software engineering perspective, the shift towards AmI can be seen abstractly similar to the shift from object paradigm towards agent one. Objects provide functionality to be exploited, while agents possess functionality and know how and when to use and offer it autonomously. Agent paradigm is suitable for implementing AmI considering AmI as an open complex system. Moreover, developers argue that agent paradigm is useful for engineering all aspects of such intelligent systems. These days, the large diversity of needs in a home-based patient population requires complex technology. Meeting those needs technically requires the use of a distributed approach and the combination of many hardware and software techniques. Furthermore, this service should be accepted in all scales and should be sufficient enough to meet all the requirements. In this thesis, I study the factors which can affect the acceptance of AmI especially when it is used to support elderly people and people with dementia, and I give suggestions which can improve the acceptance of this technology. / <p>Validerat; 20101217 (root)</p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-47314 |
| Date | January 2008 |
| Creators | Kikhia, Basel |
| Publisher | Luleå tekniska universitet, Institutionen för system- och rymdteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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