Christine Wolf

schoolIBMbar_chart#2057 Global Rank

Total Papers

HCI Rank

#2057

Research Areas

Years Active

Recent Publications

AI-Assisted Human Labeling: Batching for Efficiency without Overreliance

Human labeling of training data is often a time-consuming, expensive part of machine learning. In this paper, we study "batch labeling", an AI-assisted UX paradigm, that aids data labelers by allowing a single labeling action to apply to multiple records. We ran a large scale study on Mechanical Turk with 156 particip…

CSCW '191st AuthorHomes

Home Worlds: Situating Domestic Computing in Everyday Life Through a Study of DIY Home Repair

We draw on a qualitative study of homeowners who engage in do-it-yourself (DIY) home repair and introduce “home worlds” as a conceptual lens to understand how interactions with the home as a built environment (local and mechanical engagements with its material components) are situated in broad, diffuse, and constraint…

IUI '19CorrespondingExplainable AI (XAI) +1

Explainability Scenarios: Towards Scenario-based XAI Design

Integral to the adoption and uptake of AI systems in real-world settings is the ability for people to make sense of and evaluate such systems, a growing area of development and design efforts known as XAI (Explainable AI). Recent work has advanced the state of the art, yet a key challenge remains in understanding uniq…

CSCW '191st AuthorCollaboration and work practice

Evaluating the Promise of Human-Algorithm Collaborations in Everyday Work Practices

Human-algorithm interaction is a growing phenomenon of interest as the use of machine learning (ML) capabilities in everyday technologies becomes more commonplace. In the workplace, such developments raise questions about how people not only make sense of algorithmic actions, but also figure out ways to collaborate wi…

CSCW '181st AuthorWorkshop: The Changing Contours of “Participation” in Data-driven, Algorithmic ...

Workshop: The Changing Contours of “Participation” in Data-driven, Algorithmic ...

Who? – Who are stakeholders in algorithmic ecosystems? What are the “stakes” held in data-driven, algorithmic ecosystems and what are the politics and power dynamics amongst stakeholders? What? – What does it mean to “participate” in algorithmic ecosystems? Has the nature of “participation” changed, particularly in la…

CSCW '181st AuthorOnline Community Engagement

Participating Through Data: Charting Relational Tensions in Multiplatform Data Flows

Engagements with social media today frequently involve the use of multiple platforms, which often exchange personal data about users. We explore individuals’ experiences with the flow of personal data across platforms through interviews about dating apps, often requiring integration with a Facebook account. Inductive…

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