Výsledky vyhledávání - "Lakmal Meegahapola"

Akademický článek

Sensing Eating Events in Context: A Smartphone-Only Approach

Autor: Wageesha Bangamuarachchi, Anju Chamantha, Lakmal Meegahapola, Salvador Ruiz-Correa, Indika Perera, Daniel Gatica-Perez

Publikováno v: IEEE Access, Vol 10, Pp 61249-61264 (2022)

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 events remains an open issue. This paper proposes a framework that in

Externí odkaz: https://doaj.org/article/e01dc640ec814120857d3df9ad58677c

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Akademický článek

Smartphone Sensing for the Well-Being of Young Adults: A Review

Autor: Lakmal Meegahapola, Daniel Gatica-Perez

Publikováno v: IEEE Access, Vol 9, Pp 3374-3399 (2021)

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 unobtrusively. In a world where people are more conscious regarding their healt

Externí odkaz: https://doaj.org/article/871d3b705ede485ea49a77fc54819c2d

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Akademický článek

Ten seconds of my nights: Exploring methods to measure brightness, loudness and attendance and their associations with alcohol use from video clips.

Autor: Florian Labhart, Skanda Muralidhar, Benoit Massé, Lakmal Meegahapola, Emmanuel Kuntsche, Daniel Gatica-Perez

Publikováno v: PLoS ONE, Vol 16, Iss 4, p e0250443 (2021)

IntroductionMost evidence on associations between alcohol use behaviors and the characteristics of its social and physical context is based on self-reports from study participants and, thus, only account for their subjective impressions of the situat

Externí odkaz: https://doaj.org/article/9ad1b1ec2537443cb69568cd9b915a9f

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Quantified Canine: Inferring Dog Personality From Wearables

Autor: Lakmal Meegahapola, Marios Constantinides, Zoran Radivojevic, Hongwei Li, Daniele Quercia, Michael S Eggleston

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 experts or psychological scales administered to dog owners, both of which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e6e0bb776c1cde2069e8d239817a386
http://arxiv.org/abs/2301.06964

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

Autor: Salvador Ruiz-Correa, Fausto Giunchiglia, Lakmal Meegahapola, Ivano Bison, Matteo Busso, Laura Schelenz, Daniel Gatica-Perez, Amalia De Götzen

Publikováno v: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
AIES
Schelenz, L, Busso, M, Bison, I, De Götzen, A, Gatica-Perez, D, Giunchiglia, F, Meegahapola, L & Ruiz-Correa, S 2021, The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations . in AIES 2021-Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society . Association for Computing Machinery, pp. 905-915, AIES' 21: AAAI/ACM conference on Artificial Intelligence, Ethics, and Society, United States, 19/05/2021 . https://doi.org/10.1145/3461702.3462595

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 users' autonomy, marginalizing minorities, and exploiting users' data fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aec488be91174b02eb5d3da3299f358
http://arxiv.org/abs/2202.12700

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

Publikováno v: Meegahapola, L, Droz, W, Kun, P, de Götzen, A, Nutakki, C, Diwakar, S, Ruiz-Correa, S, Song, D, Xu, H, Bidoglia, M, Gaskell, G, Chagnaa, A, Ganbold, A, Zundui, T, Caprini, C, Miorandi, D, Hume, A, Zarza, J L, Cernuzzi, L, Bison, I, Rodas Britez, M, Busso, M, Chenu-Abente, R, Günel, C, Giunchiglia, F, Schelenz, L & Gatica-Perez, D 2022, ' Generalization and Personalization of Mobile Sensing-Based Mood Inference Models : An Analysis of College Students in Eight Countries ', Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., vol. 6, no. 4, 176, pp. 1-32 . https://doi.org/10.1145/3569483

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 general mobile apps and valuable feedback and interventions in mobile healt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aae99099ea0abb1aefd2aeec71e0d88

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