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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yao, Xiangkui |
| Abstract | There has been a rapid growth in navigation aids recently. However, no meaningful personalization exists in these devices. Theories and pilot studies show the importance of individual differences in designing pedestrian navigation assistants. I take a Requirements Engineering (RE) perspective to approach the personalization problem. Different from viewing users as a general consumer group, I propose a "deep personalization" method that pays attention to knowledge of an individual user's skills and limitations. In some cases, these skills and limitations might not be self- aware, i.e., a user cannot accurately self- reflect on his or her skills and weaknesses. In this paper, I will demonstrate the notion of deep personalization in the domain of personal navigation systems. I find this an interesting domain for several reasons: (1) There is a domain theory of navigation skills that draws from both Cartography and Psychology. (2) There are individual differences in navigation skills. (3) An individual user may not be self- aware of his or her skills. (4) If a system is delivered that does not match the skills of the user, it may be less than effective, and at worst, abandoned. |
| Starting Page | 174 |
| Ending Page | 177 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781595938626 |
| DOI | 10.1145/1377999.1378002 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-09-09 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Navigation Assistive technology Deep personalization Assessment Individual differences Virtual reality Spatial abilities Requirements engineering |
| Content Type | Text |
| Resource Type | Article |
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