Selected Projects

Our projects adopt participatory, systemic, and strategic approaches to improve human life by designing and improving integrated product-service systems, environments, and digital technologies.

We focus on the emotional experiences, subjective well-being, and health of vulnerable populations, empowering individuals and organizations.

Subjective Well-Being in Design Education

This project aims to support subjective well-being (SWB) in design education by involving students and faculty in the co-design of ‘good practices’ aimed at improving design students’ SWB. Recognizing the critical need for student success, well-being, belonging, and cultural competence, this project also integrates the arts into pedagogy. By exploring current practices within the College of Design at Georgia Tech, co-creating with students and faculty, and experimenting with new approaches in a specialized elective course, we aim to support teaching and learning initiatives targeting the understanding, expression, and improvement of students’ SWB. The expected impact includes long-term benefits across the College of Design through the dissemination of a ‘good practices’ guidebook.

Designing for Inclusive Healthcare: Enhancing Patient Experience through User-Centered Approaches

This group of projects focuses on the intersection of design and healthcare within the Brazilian Universal Healthcare System, emphasizing inclusive and user-centered approaches to improving patient experiences. It explores various facets of design for health and well-being, including the development of services for cognitively impaired patients, pediatric oncology patients and their families, and individuals with visual impairments. Through a combination of real-world case studies in public teaching hospitals and NGOs, the research aims to inform better design practices and strategies that enhance accessibility, well-being, and overall patient care in healthcare settings.

Social Engagement of Seniors Living with Mild Cognitive Impairment

Engaging in social activities can mitigate cognitive decline, but it must extend beyond face-to-face interactions to foster the development of social networks (SNs). SNs are chains of interactions that reveal people’s bonds. Mild cognitive impairment (MCI) is likely to negatively influence the development of SNs as it is challenging to deal with groups. The built environment (BE) can facilitate interactions within SNs. However, its specific role and significance in facilitating interactions among individuals with MCI, as well as the key elements to prioritize in the design of therapeutic spaces, represent an under-investigated research avenue. This project addresses this gap, offering practical and theoretical implications. The project’s main objective is to assess the impact of the BE of therapeutic spaces on the development of SNs among individuals with MCI. The research design uses a mixed-methods approach, employing quantitative and qualitative behavioral observations.

Team Resilience and Social Networks of Healthcare Providers and Organizations

This study explores the application of social network analysis (SNA) to optimize workspace layouts to enhance resilience in healthcare teams. Currently being conducted at a large tertiary care hospital, the research aims to redesign the work environment for three hospital services—rapid response, medical on-call, and nursing supervision. The project focuses on understanding how social interactions, particularly those related to key resilience abilities (monitor, anticipate, respond, and learn), influence team performance and cohesion. Using a three-stage process, the team is gathering data on these interactions, creating sociograms to visualize relationships, and proposing workspace layouts based on network metrics. These layouts are being evaluated to identify the optimal spatial distribution, ensuring improved resilience across shifts. By integrating spatial design and shift allocation strategies, the study seeks to enhance the hospital’s collective ability to respond to crises and maintain operational effectiveness, ultimately providing a model for workspace design that fosters both individual and team resilience in healthcare environments.

BiasCheck: Uncovering and Mitigating Implicit Biases from Social Determinants of Health in Preterm Birth Care through Machine Learning and Co-Design

To be announced.