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Claudio de'Sperati

dblp:20/11304 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-7322-2240ORCID · reported

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

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

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
Interaction techniques and input · 77% Accessibility and assistive technology · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › sensor-based interaction
physiological input
0.412019
A human-computer interface based on the "voluntary" pupil accommodative response · Int. J. Hum. Comput. Stud. 2019
YearPublicationVenuePosition
2020 Stairway to Elders: Bridging Space, Time and Emotions in Their Social Environment for Wellbeing
Giuseppe Boccignone, Claudio de'Sperati, Marco Granato, Giuliano Grossi, Raffaella Lanzarotti, Nicoletta Noceti, Francesca Odone
ICPRAM2
2019 A human-computer interface based on the "voluntary" pupil accommodative response
Francesco Ponzio, Andres Eduardo Lorenzo Villalobos, Luca Mesin, Claudio de'Sperati, Silvestro Roatta
Int. J. Hum. Comput. Stud.4
2012 Parsing visual stimuli into temporal units through eye movements
abstract
Automatic segmentation of a video stream poses a serious challenge to multimedia research. Here we explore the idea that temporal segmentation might include the observers' watching style. We propose a way to parse a visual stimulus into temporally-defined units by exploiting the difference of exploratory eye movements between novice and expert observers. The difference was condensed into a single quantity, the quasi-instantaneous spatial extension of the regions fixated significantly longer by either group of observers, which we termed Visual Differential Attractor (VDA). As test-bed, we presented a videotaped billiard match to novice and professional players, and recorded their eye movements. We assessed whether VDA, in tracing over time the oculomotor difference between experts and novices, would mark the individual shots embedded in the movie. Indeed, VDA showed systematic modulations over time, with peaks and toughs occurring before and after the shots, respectively. The effect disappeared by analyzing separately the scanpath of novices and experts. This finding suggests that it is possible to parse a visual stimulus into behaviorally relevant temporal units by comparing the gaze of expert and naïf observers.
Carlo Robino, Sofia Crespi, Ottavia Silva, Claudio de'Sperati
ETRA4