My research addresses the delivery and coordination of health and social services. I design, build, and evaluate the effects of novel collaborative systems through community field studies. My focus is the design of information systems and ubiquitous computing to foster collaboration and decision-making. I draw on behavioral and social psychology to develop technology that fits the needs of stakeholders and has a positive impact. I use action research, participatory design, and community-based participatory research to involve users in solving problems that matter to them, through the design of systems that fit into their lives.
Designing for Collaborative Reflection. PervasiveHealth 2014. Marcu, G., Dey, A. K., Kiesler, S.
A significant problem with electronic health records (EHRs) has been their failure to fit into existing workflows because they do not support informal documentation and communication. We used qualitative fieldwork and participatory design to investigate how EHRs could be designed to meet these needs. The contributions of this work are twofold: we identified and described the informal processes of documentation and communication that we refer to as collaborative reflection, and then developed design recommendations for EHRs to support these existing workflows.
Why Do They Still Use Paper? Understanding Data Collection and Use in Autism Education. CHI 2013. Marcu, G., Tassini, K., Carlson, Q., Goodwyn, J., Rivkin, G., Schaefer, K., Dey, A. K., Kiesler, S.
Autism education programs for children collect and use large amounts of behavioral data on each student. Staff use paper almost exclusively to collect these data, despite significant problems they face in tracking student data in situ, filling out data sheets and graphs on a daily basis, and using the sheets in collaborative decision making. We conducted fieldwork to understand data collection and use in the domain of autism education to explain why current technology had not met staff needs.
The Lilypad System: Designing for Collaborative Reflection. WISH 2013. Marcu, G., Demerson, H., Ratanalert, C., Shin, C., Jayasinghe, A., Dey, A. K., Kiesler, S.
Collaboration among healthcare teams requires integrating a patient’s data from different sources, reviewing changes in the data over time, and drawing from the knowledge of different practitioners to interpret these changes and make decisions. We call this data-driven process collaborative reflection. It enables decision-making over time based on what data reveals about the effects of interventions. In this work, we investigate the ad hoc, unstructured aspects of healthcare teamwork and address the need for tools that enable this type of work.
Parent-Driven Use of Wearable Cameras for Autism Support: A Field Study with Families. Ubicomp 2012. Marcu, G., Dey, A. K., and Kiesler, S.
Recorded images of children’s activities can be useful to caregivers and clinicians who need behavioral evidence to support children with autism. However, image capture systems for autism are typically complex and provide only a top-down, outsider’s view. In this work, we assessed the use of cameras worn by children to record the context of their activities and interactions from their perspective. We used a technology probe to explore how this simple, parent-driven system could be designed for families to adopt in their homes.
A Framework for Overcoming Challenges in Designing Persuasive Monitoring Systems for Mental Illness. PervasiveHealth 2011. Marcu, G., Bardram, J. E., and Gabrielli, S.
Persuasive personal monitoring and feedback systems could help patients and clinicians manage mental illness. Mental illness is complex, difficult to treat, and carries social stigma. From a review of literature on bipolar disorder and interviews with bipolar disorder experts, we developed a framework for designing a persuasive monitoring system to support management of the illness. The framework applies a user-centered design process that is especially sensitive to the complexity of the illness, the difficulty of treatment, its stigma, and the goals of patients and clinicians.
The MONARCA Self-Assessment System: Persuasive Personal Monitoring for Bipolar Patients. PervasiveHealth 2011. Frost, M., Marcu, G., Hansen, R., Szaánto, K., Bardram, J. E.
An increasing number of persuasive personal healthcare monitoring systems are being designed and tested, many of them being based on Smartphone technology. These systems could help patients and clinicians monitor and manage mental illness. Mental illness is complex, difficult to treat, and carries social stigma. We describe our setup to support the treatment of bipolar patients using a persuasive mobile phone monitoring system and a web portal.
Interactive Visual Supports for Children with Autism. Personal and Ubiquitous Computing, 2010. Hayes, G. R., Hirano, S., Marcu, G., Monibi, M., Nguyen, D. H., Yeganyan, M.
Interventions to support children with autism often include the use of visual supports, which are cognitive tools to enable learning and the production of language. Although visual supports are effective in helping to diminish many of the challenges of autism, they are difficult and time-consuming to create, distribute, and use. In this paper, we present the results of a qualitative study focused on uncovering design guidelines for interactive visual supports that would address the many challenges inherent to current tools and practices. We present three prototype systems that address these design challenges with the use of large group displays, mobile personal devices, and personal recording technologies.