48 citations · 305 across the 22 of their papers we have counts for
23 papers
Popularity Trajectories and Mixing Patterns of Urban Venues in Two European Cities
Wang Ngai Yeung, Lakmal Meegahapola, Daniele Quercia +1
Urban venues such as restaurants, shops, bars and parks host the daily life of a city, and their collective rise and fall signals how vibrant a neighbourhood is. The usual assumpti…
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…
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…
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
Lakmal Meegahapola, Hamza Hassoune, Daniel Gatica-Perez
Over the years, multimodal mobile sensing has been used extensively for inferences regarding health and well being, behavior, and context. However, a significant challenge hinderin…
Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments
Aurel Ruben Mader, Lakmal Meegahapola, Daniel Gatica-Perez
Understanding how social situations unfold in people's daily lives is relevant to designing mobile systems that can support users in their personal goals, well-being, and activitie…
Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization
Wageesha Bangamuarachchi, Anju Chamantha, Lakmal Meegahapola +4
The interplay between mood and eating episodes has been extensively researched, revealing a connection between the two. Previous studies have relied on questionnaires and mobile ph…
Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity
Nathan Kammoun, Lakmal Meegahapola, Daniel Gatica-Perez
Understanding the social context of eating is crucial for promoting healthy eating behaviors. Multimodal smartphone sensor data could provide valuable insights into eating behavior…
Multimodal Earable Sensing for Human Energy Expenditure Estimation
Yasith Amarasinghe, Darshana Sandaruwan, Thilina Madusanka +2
Energy Expenditure Estimation (EEE) is vital for maintaining weight, managing chronic diseases, achieving fitness goals, and improving overall health and well-being. Gold standard…
Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK
Karim Assi, Lakmal Meegahapola, William Droz +19
Smartphones enable understanding human behavior with activity recognition to support people's daily lives. Prior studies focused on using inertial sensors to detect simple activiti…
Quantified Canine: Inferring Dog Personality From Wearables
Lakmal Meegahapola, Marios Constantinides, Zoran Radivojevic +3
Being able to assess dog personality can be used to, for example, match shelter dogs with future owners, and personalize dog activities. Such an assessment typically relies on expe…
Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers
Emma Bouton--Bessac, Lakmal Meegahapola, Daniel Gatica-Perez
Human Activity Recognition (HAR) enables context-aware user experiences where mobile apps can alter content and interactions depending on user activities. Hence, smartphones have b…
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…
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…
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…
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…
Smartphone Sensing for the Well-being of Young Adults: A Review
Lakmal Meegahapola, Daniel Gatica-Perez
Over the years, mobile phones have become versatile devices with a multitude of capabilities due to the plethora of embedded sensors that enable them to capture rich data unobtrusi…
Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing
Lakmal Meegahapola, Salvador Ruiz-Correa, Daniel Gatica-Perez
Understanding food consumption patterns and contexts using mobile sensing is fundamental to build mobile health applications that require minimal user interaction to generate mobil…
Jointly Optimizing Sensing Pipelines for Multimodal Mixed Reality Interaction
Darshana Rathnayake, Ashen de Silva, Dasun Puwakdandawa +3
Natural human interactions for Mixed Reality Applications are overwhelmingly multimodal: humans communicate intent and instructions via a combination of visual, aural and gestural…
Inferring Accurate Bus Trajectories from Noisy Estimated Arrival Time Records
Lakmal Meegahapola, Noel Athaide, Kasthuri Jayarajah +2
Urban commuting data has long been a vital source of understanding population mobility behaviour and has been widely adopted for various applications such as transport infrastructu…
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units
Lakmal Meegahapola, Vengateswaran Subramaniam, Lance Kaplan +1
In this paper, we introduce the concept of Prior Activation Distribution (PAD) as a versatile and general technique to capture the typical activation patterns of hidden layer units…
BuSCOPE : Fusing Individual & Aggregated Mobility Behavior for "Live" Smart City Services
Lakmal Meegahapola, Thivya Kandappu, Kasthuri Jayarajah +3
While analysis of urban commuting data has a long and demonstrated history of providing useful insights into human mobility behavior, such analysis has been performed largely in of…
Cognitive Analysis of 360 degree Surround Photos
Madhawa Vidanapathirana, Lakmal Meegahapola, Indika Perera
360 degrees surround photography or photospheres have taken the world by storm as the new media for content creation providing viewers rich, immersive experience compared to conven…
Change Detection and Notification of Webpages: A Survey
Vijini Mallawaarachchi, Lakmal Meegahapola, Roshan Alwis +3
Majority of the currently available webpages are dynamic in nature and are changing frequently. New content gets added to webpages and existing content gets updated or deleted. Hen…