Depression is a leading cause of disability worldwide, which has inspired the design of mobile health (mHealth) applications for disease monitoring, prediction, and diagnosis. Less mHealth research has, however, focused on the treatment of depressive ...

To support human decision making with machine learning models, we often need to elucidate patterns embedded in the models that are unsalient, unknown, or counterintuitive to humans. While existing approaches focus on explaining machine predictions with ...

Implementation of new health information systems such as Electronic Health Records (EHR) is expected to reap many benefits. However, the transition from one information system to another is often associated with inefficiency, ineffectiveness, and patient ...

Organizational culture (OC) encompasses the underlying beliefs, values, and practices that are unique to an organization. However, OC is inherently subjective and a coarse construct, and therefore challenging to quantify. Alternatively, self-initiated ...

Scholarship on algorithms has drawn on the analogy between algorithmic systems and bureaucracies to diagnose shortcomings in algorithmic decision-making. We extend the analogy further by drawing on Michel Crozier's theory of bureaucratic organizations to ...

Direct observation of behavior provides a unique type of data for reflecting on during a process of behavioral intervention. This study focuses on practitioners who specialize in operationalizing, recording, and monitoring behavior using data collection ...

A psychological phenomenon termed "stereotype threat" has been shown to contribute to women's underperformance and underrepresentation in math and science fields. Within the virtual reality literature, a recent study utilized gendered body-swap illusions ...

Interactive computing systems increasingly allow for experimental evaluations of fundamental issues in law, government, and society. In this paper, we describe a participatory simulation of the Accountable Capitalism Act, a bill proposed in 2018 by US ...

New consent management platforms (CMPs) have been introduced to the web to conform with the EU's General Data Protection Regulation, particularly its requirements for consent when companies collect and process users' personal data. This work analyses how ...

Understanding how racial information impacts human decision making in online systems is critical in today's world. Prior work revealed that race information of criminal defendants, when presented as a text field, had no significant impact on users' ...

How can social media platforms fight the spread of misinformation? One possibility is to use newsfeed algorithms to downrank content from sources that users rate as untrustworthy. But will laypeople be handicapped by motivated reasoning or lack of ...

Chatbots have great potential to serve as a low-cost, effective tool to support people's self-disclosure. Prior work has shown that reciprocity occurs in human-machine dialog; however, whether reciprocity can be leveraged to promote and sustain deep self-...

Despite high levels of digital technology access among college students, technology disruption remains an issue. This study was conducted to understand how technology disruption might contribute to socio-economic disparities in academic performance. Data ...