Abstract | ||
---|---|---|
Considerable effort the area of context-aware systems goes into applications that process sensor data to proactively drive actuators. However, there are concerns about such fully automated operation. Most notably, due to imperfect context inferences, actuating decisions can be contrary to the useru0027s desires. In this article, the authors focus on what they refer to as soft actuation: issuing low-key, nonverbal hints prompting the user to optionally perform a simple manual operation on a nearby object. Soft actuation targets noncritical applications for the home or office. In the spirit of calm technology, special care is taken to respect the useru0027s attention. The authors elaborate the interaction concept and present its experimental evaluation in the wild. The results are encouraging, given that users liked the soft-actuating system and accepted quite a few hints. |
Year | DOI | Venue |
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2016 | 10.1109/MPRV.2016.5 | IEEE Pervasive Computing |
Keywords | Field | DocType |
home computing,office automation,ubiquitous computing,actuators,context inferences,context-aware systems,human-in-the-loop,office,sensor data processing,smart home,soft actuation,HCI,Internet of Things,calm technology,context-aware applications,human-computer interaction,pervasive computing,proactive actuation,smart home,soft actuation,user control,user interaction | User control,Imperfect,Computer science,Computer security,Context model,Automation,Home automation,Human–computer interaction,Ubiquitous computing,Human-in-the-loop,Calm technology | Journal |
Volume | Issue | ISSN |
15 | 1 | 1536-1268 |
Citations | PageRank | References |
5 | 0.49 | 5 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jaroslaw Domaszewicz | 1 | 68 | 9.39 |
Spyros Lalis | 2 | 208 | 35.55 |
Aleksander Pruszkowski | 3 | 8 | 1.97 |
manos koutsoubelias | 4 | 14 | 5.45 |
Tomasz Tajmajer | 5 | 8 | 2.38 |
Nasos Grigoropoulos | 6 | 5 | 0.49 |
Michele Nati | 7 | 139 | 12.62 |
Alexander Gluhak | 8 | 480 | 35.37 |