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Farshad Daliri

dblp:161/3303 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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 · 87% User interface design and tools · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › gesture input
deformation-based gestures
0.212015
One-Handed Bend Interactions with Deformable Smartphones · CHI 2015
Interaction techniques and input › mobile interaction
one-handed interaction
0.212015
One-Handed Bend Interactions with Deformable Smartphones · CHI 2015

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

user study · 0.2online survey · 0.2
YearPublicationVenuePosition
2016 Visual Feedforward Guides for Performing Bend Gestures on Deformable Prototypes
Farshad Daliri, Audrey Girouard
Graphics Interface1
2015 One-Handed Bend Interactions with Deformable Smartphones
abstract
Smartphones are becoming larger, mainly because bigger screens offer a better experience for viewing content. One drawback of larger screens is that they make single-hand interactions difficult because of hard to reach touch targets and of the need to re-grip the device, both factors significantly reducing their usability. Flexible smartphones offer an opportunity for addressing this issue. We first set out to determine the use of common single-hand mobile interactions through an online survey. Then, we designed and evaluated one-handed deformable gestures that offer the potential for addressing the finger reach limitation on large smartphones. We identified that the top right up bend and the center squeeze up gestures are the fastest and preferred gestures. We found no hand preference, which indicates that the gestures could be implemented to fit the needs of a wider range of the population, instead of favoring right-handed users. Finally, we discuss the impact on deformable gestures on one-handed interactions issues.
Audrey Girouard, Jessica Lo, Md. Riyadh, Farshad Daliri, Alexander Keith Eady, Jérôme Pasquero
CHI4