Gonzalo Ramos

schoolMicrosoftbar_chart#938 Global Rank

Total Papers

HCI Rank

#938

Research Areas

Years Active

Recent Publications

ImaginationVellum: Generative-AI Ideation Canvas with Spatial Prompts, Generative Strokes, and Ideation History

We introduce ImaginationVellum, a multi-modal spatial canvas for early-stage visual ideation and concept sketching with generative AI. The resulting system supports a unique style of human-AI co-creation where the canvas is the prompt. This means that ImaginationVellum employs the entire 2D canvas as an active prompt…

CSCW '245th+ AuthorSession 3b: Work, Non-Work, and Social Technologies

Improving Work-Nonwork Balance with Data-Driven Implementation Intention with Mental Contrasting

Work-nonwork balance is an important aspect of workplace well-being with associations to improved physical and mental health, job performance, and quality of life. However, realizing work-nonwork balance goals is challenging due to competing demands and limited resources within organizational and interpersonal context…

CC '24CorrespondingGenerative AI (Text, Image, Music, Video) +1

Evolving Roles and Workflows of Creative Practitioners in the Age of Generative AI

Creative practitioners (like designers, software developers, and architects) have started to employ Generative AI models (GenAI) to produce text, images, and assets comparable to those made by people. While HCI research explores specific GenAI models and creativity support tools, little is known about practitioners' e…

CHI '225th+ AuthorWorkplace Wellbeing & Work Stress

Design of Digital Workplace Stress-Reduction Intervention Systems: Effects of Intervention Type and Timing

Workplace stress-reduction interventions have produced mixed results due to engagement and adherence barriers. Leveraging technology to integrate such interventions into the workday may address these barriers and help mitigate the mental, physical, and monetary effects of workplace stress. To inform the design of a wo…

IUI '21CorrespondingHuman-LLM Collaboration +2

DIY: Helping People Assess the Correctness of Natural Language to SQL Systems

Designing natural language interfaces for querying databases remains an important goal pursued by researchers in natural language processing, databases, and HCI. These systems receive natural language as input, translate it into a formal database query, and execute the query to compute a result. Because the responses…

IUI '212nd AuthorHuman-LLM Collaboration +2

Forsense: Accelerating online research through sensemaking integration and machine research support.

Online research is a frequent and important activity people perform on the Internet, yet current support for this task is basic, fragmented and not well integrated into web browser experiences. Guided by sensemaking theory, we present ForSense, a browser extension for accelerating people’s online research experienc…

DIS '20CorrespondingHuman-LLM Collaboration +1

Understanding and Supporting Knowledge Decomposition for Machine Teaching

Machine teaching (MT) is an emerging field that studies non-machine learning (ML) experts incrementally building semantic ML models in efficient ways. While MT focuses on the types of knowledge a human teacher provides a machine learner, not much is known about how people perform or can be supported in this essential…

DIS '20CorrespondingExplainable AI (XAI) +2

A Teaching Language for Building Object Detection Models

Object detection is a key application of machine learning. Currently, these detector models rely on deep networks that offer model builders limited agency over model construction, refinement and maintenance. Human-centered approaches to address these issues explore the exchange of knowledge between a human-in-the-loop…

DIS '205th+ AuthorBiosensors & Physiological Monitoring +2

EcoPatches: Maker-Friendly Chemical-Based UV Sensing

Year-round ultraviolet exposure silently causes skin damage that goes unnoticed until sunburn. Current personal wearables for monitoring UV exposure have not seen significant uptake, which may be attributed to their one-size-fits-all aesthetic or inapplicability to people with different skin tones. We present EcoPatch…

IUI '184th AuthorExplainable AI (XAI) +2

AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration

In supervised interactive machine learning, human knowledge about the target concept can be a powerful reference to build a concept classifier that is robust to unseen items in the real world. The main challenge lies in finding unlabeled items that can either help discover or refine subconcepts for which the current c…

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