Lorena Castaneda

  • Citations Per Year
Learn More
Despite the increasing use of the web to support human activities, most web interactions required to accomplish personal goals are performed manually by users. Even though users can easily transform a goal into multiple web interactions, the manual governance of these interactions diminishes the user experience. Personalized web-tasking seeks to improve the(More)
Personalized Web-Tasking (PWT) proposes the automation of user-centric and repetitive web interactions to assist users in the fulfilment of personal goals using internet systems. In PWT, both personal goals and internet systems are affected by unpredictable changes in user preferences, situations, system infrastructures and environments. Therefore,(More)
With the constant evolution of the Internet, a repetitive and ordinary task such as searching online resources has become more complex due to the amount of web services and formats available (e.g., video, audio, text or images). In order to obtain resources within a specific domain, a user manually performs several tasks, such as navigating through(More)
Self-adaptive systems (SAS) automatically adjust their behavior at runtime in order to manage changes in their user requirements and operating context. To achieve this goal, a SAS needs to carry knowledge in artifacts (e.g., contextual goal models) at runtime. However, identifying, representing, and refining requirements and their context to create and(More)
For the past decades, the internet has become the most important technological invention and the infrastructure of our digital society. However, the constant growth and massive use had also increased its complexity exposing weaknesses that were not considered by the original design. As a result, international efforts are being made on a clean-slate design(More)
Nowadays, users utilize web applications to perform everyday tasks in order to achieve personal goals. Personalized Web-Tasking (PWT) is the automation of such web interactions while exploiting personal context to enrich users experience. However, web-tasking is affected by unpredictable context behaviour—environment, user, and infrastructure— and(More)
Data generated by video applications are rarely mined for context in order to augment and improve user experiences. In this paper, we propose an innovative approach to extract context from video streams dynamically. As a case study we apply this approach in a context based multimedia chat application. In particular, this paper discusses how we perform video(More)
  • 1