Demo Data from SIGIR 2026 / reviewers in the wild / expert
Nir Rachmel
dblp:129/2182
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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 |
Collaborative and social computing · 77% Design research and methods · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › collaborative design
collaborative ideation |
0.2 | 1 | 2013 | Brainstorm, Chainstorm, Cheatstorm, Tweetstorm: new ideation strategies for distributed HCI design · CHI 2013 |
Design research and methods
ideation method |
0.0 | 1 | 2013 | Brainstorm, Chainstorm, Cheatstorm, Tweetstorm: new ideation strategies for distributed HCI design · CHI 2013 |
Methods — techniques the papers use, named apart from their topics
design-driven study · 0.2case study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Brainstorm, Chainstorm, Cheatstorm, Tweetstorm: new ideation strategies for distributed HCI designabstractIn this paper we describe the results of a design-driven study of collaborative ideation. Based on preliminary findings that identified a novel digital ideation paradigm we refer to as chainstorming, or online communication brainstorming, two exploratory studies were performed. First, we developed and tested a distributed method of ideation we call cheatstorming, in which previously generated brainstorm ideas are delivered to targeted local contexts in response to a prompt. We then performed a more rigorous case study to examine the cheatstorming method and consider its possible implementation in the context of a distributed online ideation tool. Based on observations from these studies, we conclude with the somewhat provocative suggestion that ideation need not require the generation of new ideas. Rather, we present a model of ideation suggesting that its value has less to do with the generation of novel ideas than the cultural influence exerted by unconventional ideas on the ideating team. Thus brainstorming is more than the pooling of "invented" ideas, it involves the sharing and interpretation of concepts in unintended and (ideally) unanticipated ways. Haakon Faste, Nir Rachmel, Russell Essary, Evan Sheehan |
CHI | 2 |