Demo Data from SIGIR 2026 / reviewers in the wild / expert
Francesco Martino
dblp:05/4225
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-6812-1675ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2Computer networks · 1
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 |
Games and playful interaction · 87% Collaborative and social computing · 13% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Games and playful interaction › social play
social network games |
0.1 | 1 | 2010 | Improving social game engagement on facebook through enhanced socio-contextual information · CHI 2010 |
Methods — techniques the papers use, named apart from their topics
controlled study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Enhancing Security in ETSI Open Source MANO with Usage Control Capability
Antonio La Marra, Alessio Lunardelli, Fabio Martinelli, Paolo Mori, Andrea Saracino, Piero Castoldi, Francesco Martino, Barbara Martini |
IM | 7 |
| 2013 | How natural is a natural interface? An evaluation procedure based on action breakdowns
Luciano Gamberini, Anna Spagnolli, Lisa Prontu, Sarah Furlan, Francesco Martino, Beatriz Rey, Mariano Alcañiz Raya, José Antonio Lozano 0002 |
Pers. Ubiquitous Comput. | 5 |
| 2010 | Improving social game engagement on facebook through enhanced socio-contextual informationabstractIn this paper we describe the results of a controlled study of a social game, Magpies, which was built on the Facebook Online Social Network (OSN) and enhanced with contextual social information in the form of a variety of social network indices. Through comparison with a concurrent control trial using an identical game without the enhanced social information, it was shown that the additional contextual data increased the frequency of social activity between players engaged in the game. Despite this increase in activity, there was little increase in growth of the player-base when compared to the control condition. These findings corroborate previous work that showed how socio-contextual enhancement can increase performance on task-driven games, whilst also suggesting that it can increase activity and engagement when provided as context for non task-driven game environments. Ben Kirman, Shaun W. Lawson, Conor Linehan, Francesco Martino, Luciano Gamberini, Andrea Gaggioli |
CHI | 4 |