Name
Abstract | ||
|---|---|---|
With the diversity and variety of devices and interface modalities these devices offer, the choice of the right interface is still a significant research challenge. We propose a method of Context-driven Heterogeneous Interface Selection for Smart City Applications, which is based on context-driven and situation-aware modality selection mechanism. The method involves the use of a user model, a device model, and an environment model as an adaptation mechanism and a mechanism for selecting an appropriate modality or combination of modalities. Several scenarios of the functioning of the system are described. A series of tests was conducted for each scenario. Tests results are also given in the article. Benefits of the proposed approach are discussed and demonstrated. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-01168-0_3 | INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2018 |
Keywords | Field | DocType |
Heterogeneous interface, Knowledge representation, Context awareness, Smart city, Waste management | Modalities,Knowledge representation and reasoning,Computer science,Computer network,Context awareness,Human–computer interaction,User modeling,Smart city,Interface selection | Conference |
Volume | ISSN | Citations |
11118 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Inna Sosunova | 1 | 0 | 0.34 |
| Arkady B. Zaslavsky | 2 | 943 | 168.27 |
| Alexey Matvienko | 3 | 0 | 0.34 |
| Oleg Sadov | 4 | 0 | 0.34 |
| Petr Fedchenkov | 5 | 11 | 2.90 |
| Theodoros Anagnostopoulos | 6 | 157 | 14.54 |