activity
20242026
most citedA methodology and a platform for high-quality rich personal data

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Plurification in/of language technology -- The integration of culture in next-generation AI

Gertraud Koch, Fausto Giunchiglia

The paper explores how "culture" can be operationalised in Natural Language Processing (NLP) and what this reveals about the possibilities and limits of considering a plurality of…

cs.CV2026

Crowdsourcing of Real-world Image Annotation via Visual Properties

Xiaolei Diao, Fausto Giunchiglia

Recent advances in data-centric artificial intelligence highlight inherent limitations in object recognition datasets. One of the primary issues stems from the semantic gap problem…

cs.HC2025★ 1 cited

A methodology and a platform for high-quality rich personal data

Ivan Kayongo, Leonardo Malcotti, Haonan Zhao +1

In the last years the pervasive use of sensors, as they exist in smart devices, e.g., phones, watches, medical devices, has increased dramatically the availability of personal data…

cs.HC2024

Big-Thick Data generation via reference and personal context unification

Fausto Giunchiglia, Xiaoyue Li

Smart devices generate vast amounts of big data, mainly in the form of sensor data. While allowing for the prediction of many aspects of human behaviour (e.g., physical activities,…

cs.HC2024

What Impacts the Quality of the User Answers when Asked about the Current Context?

Ivano Bison, Haonan Zhao, Fausto Giunchiglia

Sensor data provide an objective view of reality but fail to capture the subjective motivations behind an individual's behavior. This latter information is crucial for learning abo…

cs.HC2024

A Methodology and System For Big-Thick Data Collection

Ivan Kayongo, Haonan Zhao, Leonardo Malcotti +1

Pervasive sensors have become essential in research for gathering real-world data. However, current studies often focus solely on objective data, neglecting subjective human contri…