Approaching context-awareness for open intelligent space

Author(s):  
Patrice Roy ◽  
Bessam Abdulrazak ◽  
Yacine Belala
2013 ◽  
Vol 33 (12) ◽  
pp. 3363-3367
Author(s):  
Chao FANG ◽  
Yiling YANG ◽  
Yu HUANG

2020 ◽  
Vol 6 (3) ◽  
pp. 380-383
Author(s):  
Jochen Bauer ◽  
Michael Hechtel ◽  
Martin Holzwarth ◽  
Julian Sessner ◽  
Jörg Franke ◽  
...  

AbstractAll aspects of daily life increasingly include digitization. So-called „smart home“ technologies, as well as „wearables“, are gaining attention from more and more dwellers. Therefore, sensor-based, individualized, AI-based services for improved post-intervention monitoring and therapy accompaniment will become feasible and possible if these systems offer a related context-awareness. This paper provides an approach on how to sense and interpret specific contexts with the help of wearables, smartwatches, smart home sensors, and emotion detection software.


Author(s):  
Mario Casillo ◽  
Francesco Colace ◽  
Dajana Conte ◽  
Marco Lombardi ◽  
Domenico Santaniello ◽  
...  

AbstractIn the Big Data era, every sector has adapted to technological development to service the vast amount of information available. In this way, each field has benefited from technological improvements over the years. The cultural and artistic field was no exception, and several studies contributed to the aim of the interaction between human beings and artistic-cultural heritage. In this scenario, systems able to analyze the current situation and recommend the right services play a crucial role. In particular, in the Recommender Systems field, Context-Awareness helps to improve the recommendations provided. This article aims to present a general overview of the introduction of Context analysis techniques in Recommender Systems and discuss some challenging applications to the Cultural Heritage field.


Author(s):  
Jan vom Brocke ◽  
Marie-Sophie Baier ◽  
Theresa Schmiedel ◽  
Katharina Stelzl ◽  
Maximilian Röglinger ◽  
...  

AbstractContext awareness is essential for successful business process management (BPM). So far, research has covered relevant BPM context factors and context-aware process design, but little is known about how to assess and select BPM methods in a context-aware manner. As BPM methods are involved in all stages of the BPM lifecycle, it is key to apply appropriate methods to efficiently use organizational resources. Following the design science paradigm, the study at hand addresses this gap by developing and evaluating the Context-Aware BPM Method Assessment and Selection (CAMAS) Method. This method assists method engineers in assessing in which contexts their BPM methods can be applied and method users in selecting appropriate BPM methods for given contexts. The findings of this study call for more context awareness in BPM method design and for a stronger focus on explorative BPM. They also provide insights into the status quo of existing BPM methods.


Sign in / Sign up

Export Citation Format

Share Document