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Daniel Gatica-Perez

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Publications associées (115)

A Sensor-Driven Visit Detection System in Older Adults' Homes: Towards Digital Late-Life Depression Marker Extraction

Daniel Gatica-Perez

Modern sensor technology is increasingly used in older adults to not only provide additional safety but also to monitor health status, often by means of sensor derived digital measures or biomarkers. Social isolation is a known risk factor for late-life de ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

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

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

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 health apps ...

ASSOC COMPUTING MACHINERY2022

A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust

Daniel Gatica-Perez

Using connected sensing devices to remotely monitor health is a promising way to help transition healthcare from a rather reactive to a more precision medicine oriented proactive approach, which could be particularly relevant in the face of rapid populatio ...

NATURE PORTFOLIO2022

Data Privacy Concerns as a Source of Resistance to Complete Mobile Data Collection Tasks Via a Smartphone App

Daniel Gatica-Perez

Smartphones present many interesting opportunities for survey research, particularly through the use of mobile data collection applications (apps). There is still much to learn, however, about how to integrate apps in general population surveys. Recent stu ...

OXFORD UNIV PRESS INC2022

Locally Private Graph Neural Networks

Daniel Gatica-Perez

Graph Neural Networks (GNNs) have demonstrated superior performance in learning node representations for various graph inference tasks. However, learning over graph data can raise privacy concerns when nodes represent people or human-related variables that ...

ASSOC COMPUTING MACHINERY2021

Trust Indicators and Explainable AI: A Study on User Perceptions

Nicolas Henchoz, Daniel Gatica-Perez, Delphine Ribes Lemay, Thanh Trung Phan, Andreas Sonderegger

Nowadays, search engines, social media or news aggregators are the preferred services for news access. Aggregation is mostly based on artificial intelligence technologies raising a new challenge: Trust has been ranked as the most important factor for media ...

Springer2021

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

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

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 health and ...

2021

Shooting shots: Estimating alcoholic drink sizes in real life using event-level reports and annotations of close-up pictures

Daniel Gatica-Perez, Thanh Trung Phan

Introduction and Aims Drinks consumed in real life are diverse, in terms of beverage type, container size and alcohol by volume. To date, most ecological momentary assessment studies have assessed drinking amounts with 'standard' drinks, although their eve ...

WILEY2021

Declarative Variables in Online Dating: A Mixed-Method Analysis of a Mimetic-Distinctive Mechanism

Daniel Gatica-Perez, Jessica Carolina Pidoux

Declarative variables of self-description have a long-standing tradition in matchmaking media. With the advent of online dating platforms and their brand positioning, the volume and semantics of variables vary greatly across apps. However, a variable lands ...

2021

Contactless Sleep Monitoring for Early Detection of Health Deteriorations in Community-Dwelling Older Adults: Exploratory Study

Philipp Buluschek, Daniel Gatica-Perez, Bruno Pais

Background: Population aging is posing multiple social and economic challenges to society. One such challenge is the social and economic burden related to increased health care expenditure caused by early institutionalizations. The use of modern pervasive ...

JMIR PUBLICATIONS, INC2021

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

Daniel Gatica-Perez, Skanda Muralidhar, Lakmal Buddika Meegahapola

Introduction Most 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 situation. ...

2021

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

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

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 for prof ...

ASSOC COMPUTING MACHINERY2021

One More Bite? Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

ACM2021

The impact of personality in using technology to ask and offer help: the experience of the Chatbot "UC - Paraguay"

Daniel Gatica-Perez

In the context of the project "WeNet: Internet of us" we are studying the role of diversity in relation to Internet-mediated social interactions. In this paper, in particular, we analyze a possible relationship between personality aspects and social intera ...

IEEE2021

The emotional entanglements of smartphones "in the field": on social positioning, power relations, and research ethics

Daniel Gatica-Perez, Darshan Santani

Despite human geographers’ growing recognition of the need to explore how digital technologies are increasingly co‐producing geographies, the methodological implications of such forms of data production are rarely discussed. This paper explores how smartph ...

2020

Youth nightlife at home: towards a feminist conceptualisation of home

Daniel Gatica-Perez, Darshan Santani

This paper explores home as a space of youth nightlife and drinking through a feminist lens. It draws on feminist geographical scholarship on home and 40 semi-structured interviews with young people aged 16–25 in Switzerland in the context of a larger inte ...

2021

Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Understanding food consumption patterns and contexts using mobile sensing is fundamental to build mobile health applications that require minimal user interaction to generate mobile food diaries. Many available mobile food diaries, both commercial and in r ...

Association for Computing Machinery2020

Capturing drinking and nightlife behaviours and their social and physical context with a smartphone application - investigation of users' experience and reactivity

Daniel Gatica-Perez, Darshan Santani

Background: Many addictive behaviours are influenced by the context in which they occur, but methods for simultaneously capturing the characteristics of a behaviour and its context are scarce. This study describes a smartphone application developed to docu ...

TAYLOR & FRANCIS LTD2020

Understanding Applicants' Reactions to Asynchronous Video Interviews through Self-Reports and Nonverbal Cues

Daniel Gatica-Perez, Skanda Muralidhar

Asynchronous video interviews (AVIs) are increasingly used by organizations in their hiring process. In this mode of interviewing, the applicants are asked to record their responses to predefined interview questions using a webcam via an online platform. A ...

ACM2020

Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement

Daniel Gatica-Perez, Skanda Muralidhar, Thanh Trung Phan

Heavy alcohol consumption can lead to many severe consequences. In this paper, we study the phenomenon of heavy drinking at night (4+ drinks for women or 5+ for men on a single evening), using a smartphone sensing dataset depicting about nightlife and drin ...

ACM2020

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