Digital Wellbeing

Investigating how technology affects habits, wellbeing, and self-control through empirical research on digital self-control tools, multi-device interactions, and educational approaches. My work focuses on understanding habitual smartphone use, developing effective self-control mechanisms, and creating educational systems that promote healthier technology relationships.

Digital Self‑Control Tools

Evaluating and designing mechanisms like blocking, nudging, and goal setting that help people align technology use with their values and wellbeing goals.

Examples

Habitual Behaviors

Understanding and analyzing habitual smartphone use patterns, developing tools to help users break unhealthy digital habits, and creating interventions for meaningful behavior change.

Educational Systems

Creating educational frameworks and curricula that teach mindful human-computer interaction, digital wellbeing principles, and responsible technology design practices.

Selected Publications

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Deceptive Designs

Research on dark patterns and manipulative interface strategies that capture and exploit user attention, their impact on user autonomy and wellbeing, and approaches to identify, measure, and mitigate them in practice. My work focuses on understanding how digital interfaces steal attention and developing design heuristics that respect rather than exploit user attention.

Attention-Capture Damaging Patterns

Defining and identifying attention capture deceptive designs in digital interfaces, understanding how dark patterns steal user attention.

Digital Attention Heuristics

Developing design heuristics and frameworks that support user attention by design, creating interfaces that respect rather than exploit attention.

Wellbeing‑Focused Design

Bridging digital wellbeing and usability through design interfaces that respect user attention and promote meaningful interactions.

Selected Publications

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End User Development Previous Focus

Empowering people to personalize connected devices and online services without programming expertise. My research spans semantic approaches to IoT personalization, voice-based rule composition, debugging mechanisms for trigger–action programming, and educational tools that make end-user development accessible across diverse technological contexts.

High Level Rule Composition

Enabling natural language interaction for defining trigger–action rules through conversational interfaces and voice commands.

Examples

Debugging

Creating intuitive debugging tools using metaphors like jigsaw puzzles to help users understand and troubleshoot trigger–action programming issues.

Recommendations

Developing intelligent recommendation systems that help users discover and compose effective trigger–action rules based on their context and preferences.

Examples

Selected Publications

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