Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Nir Rachmel

dblp:129/2182 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Collaborative and social computing › collaborative design
collaborative ideation
0.212013
Brainstorm, Chainstorm, Cheatstorm, Tweetstorm: new ideation strategies for distributed HCI design · CHI 2013
Design research and methods
ideation method
0.012013
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
YearPublicationVenuePosition
2013 Brainstorm, Chainstorm, Cheatstorm, Tweetstorm: new ideation strategies for distributed HCI design
abstract
In 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
CHI2