Exploratory Design Search
Exploratory Design Search is a systematic computational process that belongs to the genus of design decision support methods, distinguished by its focus on autonomously discovering and evaluating a broad, diverse set of viable design alternatives without predefined objectives, thereby enabling insight generation and hypothesis formation in early-stage, under-constrained design problems.
20
Publications
716
Citations
65
Authors
28
Institutions
Publications per year
2017–2026
9
Parents
20
Daniel Ritchie, Ankita Kejriwal, Scott Klemmer · 2011 · 74 citations
Arts, Design, Information Retrieval +11
1–5 of 20
65
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 65
28

Australian National University
Canberra, Australia
2 h-index
3 publications
182 citations

Monash University
Melbourne, Australia
2 h-index
3 publications
112 citations
Stanford University
Stanford, United States
1 h-index
3 publications
222 citations

University of Plymouth
Plymouth, United Kingdom
1 h-index
2 publications
110 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
1 h-index
2 publications
42 citations

Universidad de Las Palmas de Gran Canaria
Las Palmas de Gran Canaria, Spain
1 h-index
1 publications
69 citations
Oregon State University Cascades
Bend, United States
1 h-index
1 publications
16 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
1 publications
79 citations
1–8 of 28
RSR · 1 publications · 16 citations
1
h-index
PRL · 1 publications · 21 citations
1
h-index
1 publications · 58 citations
1
h-index
AIEDAM · 1 publications · 55 citations
1
h-index
1 publications · 79 citations
1
h-index
1–5