Juan Carlos Ortiz

dblp:62/5502 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0003-2180-1360ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Design research and methods · 33% User interface design and tools · 33% Human-AI interaction · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › AI-assisted creativity
AI-assisted design
1.012026
Sketching vs. AI Prompt Based Design Intent Evolution in Undergraduate Students: an Exploratory Study · CHI 2026
Design research and methods
design cognition
1.012026
Sketching vs. AI Prompt Based Design Intent Evolution in Undergraduate Students: an Exploratory Study · CHI 2026
User interface design and tools
design tools
1.012026
Sketching vs. AI Prompt Based Design Intent Evolution in Undergraduate Students: an Exploratory Study · CHI 2026

Methods — techniques the papers use, named apart from their topics

exploratory study · 2.0
YearPublicationVenuePosition
2026 Sketching vs. AI Prompt Based Design Intent Evolution in Undergraduate Students: an Exploratory Study
abstract
The use of AI in product design during early creative phases raises questions about its long-term consequences. Concerns are that extended AI use might inhibit creative cognitive processes, especially in novice designers. The aim of this study is to contribute to ongoing research in creative cognition and creative support tools such as AI in design. We conducted an exploratory study with 61 undergraduate students to analyze design exploration in sketching versus AI concept generation. The results indicate that AI groups produced a higher quantity and variation of total ideas (including text-based ideas), while sketch groups generated more image-based ideas. It was inconclusive whether the final image concepts from both AI and sketch groups were more creative. Additionally, homogenization effects were observed in the AI groups. Moreover, while the evolution of the design intent was evident in students who sketched, the focus in AI groups appeared to shift towards the tool (AI), which we analyzed as different design space exploration (DSE) prompting styles.
Vanessa Sattele, Juan Carlos Ortiz
CHI2