activity
20192026
most citedGeneralization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

48 citations · 229 across the 13 of their papers we have counts for

collaborators

14 papers

cs.AI2026

Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents

Gabriele La Malfa, Lakmal Meegahapola, Edyta Bogucka +4

To anticipate socio-technical risks from AI agents, organizations need taxonomies to classify them. However, existing AI risk taxonomies focus on broad risks and do not capture job…

cs.CY202512 cited

DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling

Matteo Busso, Andrea Bontempelli, Leonardo Javier Malcotti +23

Understanding everyday life behavior of young adults through personal devices, e.g., smartphones and smartwatches, is key for various applications, from enhancing the user experien…

cs.HC202248 cited

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Lakmal Meegahapola, William Droz, Peter Kun +24

Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in gener…

cs.HC202218 cited

Sensing Eating Events in Context: A Smartphone-Only Approach

Wageesha Bangamuarachchi, Anju Chamantha, Lakmal Meegahapola +3

While the task of automatically detecting eating events has been examined in prior work using various wearable devices, the use of smartphones as standalone devices to infer eating…

cs.HC202226 cited

The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations

Laura Schelenz, Ivano Bison, Matteo Busso +5

Diversity-aware platform design is a paradigm that responds to the ethical challenges of existing social media platforms. Available platforms have been criticized for minimizing us…

cs.SI202124 cited

Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing

Lakmal Meegahapola, Florian Labhart, Thanh-Trung Phan +1

According to prior work, the type of relationship between the person consuming alcohol and others in the surrounding (friends, family, spouse, etc.), and the number of those people…