Luca Corcella

dblp:200/9103 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 100%
Software engineering, system software, and programming languages
1 paper
Debugging and program repair · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Debugging and program repair › human factors in debugging
end-user debugging
0.112019
Supporting end-user debugging of trigger-action rules for IoT applications · Int. J. Hum. Comput. Stud. 2019

Methods — techniques the papers use, named apart from their topics

trigger-action rule analysis · 0.8
YearPublicationVenuePosition
2019 Supporting end-user debugging of trigger-action rules for IoT applications
Marco Manca 0001, Fabio Paternò, Carmen Santoro, Luca Corcella
Int. J. Hum. Comput. Stud.4
2019 Enabling personalisation of remote elderly assistance
Luca Corcella, Marco Manca 0001, Jan Egil Nordvik, Fabio Paternò, Anne-Marthe Sanders, Carmen Santoro
Multim. Tools Appl.1
2018 Trigger-action programming for context-aware elderly support in practice
abstract
Remote monitoring services should be strongly personalised to the specific needs, preferences, abilities and motivations of elderly, a population segment whose characteristics can largely vary and even dynamically evolve over time for the same individual, depending on changing needs and usage contexts. We present a demo showing how a platform supporting End User Development (EUD) of context-dependent applications has been customized for remotely assisting elderly people at home. The user-editable personalisation features are specified by using trigger-action rules. The platform has been integrated with various sensors and appliances, and an application for remotely monitoring older adults at home. The resulting environment supports the possibility of creating trigger-action rules that can actually be executed when relevant sensors indicate that specific events or conditions occurred.
Cristina Chesta, Luca Corcella, Marco Manca 0001, Fabio Paternò, Carmen Santoro
AVI2