EDBT 2026 Demo / reviewers in the wild / expert
Gideon Goldin
dblp:26/9598
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 |
User interface design and tools · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools › design guidelines
interaction design guidelines |
0.2 | 1 | 2014 | Causal interactions · CHI 2014 |
Methods — techniques the papers use, named apart from their topics
controlled experiment · 0.2causal psychology · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Causal interactionsabstractIn this paper we present two design guidelines, causal order and continuity, to be used as rules of thumb for designing intuitive interactions based on principles of causal reasoning. We propose that designing interactions to behave like real-world systems of cause and effect makes them more intuitive. Using these basic principles avoids the limitations inherent to specific metaphors. In three experiments, participants solved puzzles using variations of a novel graphical interface. Participants using interfaces that were consistent with the causal guidelines consistently solved the puzzle faster than participants using inconsistent interfaces. We also discuss common interactions already consistent with the causal guidelines as well as areas where the guidelines are likely to apply successfully. The causal order guidelines provide specific utility while also demonstrating how principles of causal psychology can be applied to help interface designers better convey the functionality of their interfaces. Adam Darlow, Gideon Goldin, Steven A. Sloman |
CHI | 2 |