Abstract
Aiming to develop an infrastructure awareness system, Hincapie-Ramos, Tabard, and Bardram apply card sorting for assessing users’ ideas on infrastructures. The relate awareness model cards (AMC)--their method--to Halskov and Dalsgård’s inspiration cards, but the origin can easily be placed more than half a century earlier.
Card sorting is an appealing research paradigm; its simplicity is probably its biggest strength. Since its introduction in the late 1940s, it has shown its usefulness in a number of fields, such as psychology, computer science, and design. Card sorting is used to assess several characteristics of people; in most cases, they have associations as a common denominator.
The authors propose two types of cards: focus--that is, users’ interests--and nimbus--that is, the information an object projects about itself. The extent to which users’ interests and system characteristics map each other can then be assessed. This is illustrated in a pilot study, but only some qualitative characteristics of this study are provided.
Overall, the paper introduces an interesting method founded on existing research paradigms. Its introduction is timely, as it enables assessing users’ awareness of ambient (invisible) technology. However, validation studies are needed to confirm its usefulness in practice.
Original language | Undefined |
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Pages (from-to) | CR138618 |
Number of pages | 1 |
Journal | Computing reviews |
Publication status | Published - 6 Dec 2010 |
Keywords
- card sorting
- user-centered
- EWI-19290
- smart surroundings
- Infrastructure
- HMI-MI: MULTIMODAL INTERACTIONS
- HMI-VRG: Virtual Reality and Graphics
- METIS-275840
- Ambient Intelligence
- HMI-HF: Human Factors