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Aisha Edrah

dblp:199/3250 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—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
Interaction techniques and input · 61% User interface design and tools · 30% Ubiquitous computing and smart environments · 9%

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

TopicWeightPapersLastEvidence papers
Interaction techniques and input
mobile interaction
0.312017
Block Party: Synchronized Planning and Navigation Views for Neighbourhood Expeditions · CHI 2017
Interaction techniques and input › spatial interaction › navigation
wayfinding
0.312017
Block Party: Synchronized Planning and Navigation Views for Neighbourhood Expeditions · CHI 2017
Ubiquitous computing and smart environments › urban computing
urban navigation
0.112017
Block Party: Synchronized Planning and Navigation Views for Neighbourhood Expeditions · CHI 2017

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

prototype evaluation · 0.3experimental simulation · 0.3
YearPublicationVenuePosition
2017 Block Party: Synchronized Planning and Navigation Views for Neighbourhood Expeditions
abstract
Mobile wayfinding and guide apps have become indispensable tools for navigating unfamiliar urban spaces. Such applications address targeted, "just-in-time" queries, but are not optimally designed for multi-point expeditions that can quickly build route and survey-level familiarity with a neighbourhood. We first conducted an experimental simulation involving a homebuying scenario to assess the usefulness of a popular mobile wayfinding and search application (Google Maps) for exploring a neighbourhood. We then designed a prototype application called Block Party that addresses a number of limitations of Google Maps for this purpose, and evaluated it in a second replica study. The results suggested that application designs that facilitate switching among distinct but synchronized navigation views such as Block Party might support more efficient usage and the selection of task-appropriate views, leading to better overall spatial awareness.
Huiyuan Zhou, Aisha Edrah, Bonnie MacKay, Derek Reilly
CHI2