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Farzin Farhadi-Niaki

dblp:131/8657 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

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 · 100%

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

TopicWeightPapersLastEvidence papers
Interaction techniques and input › gesture input
mid-air input
0.512021
Elbow-Anchored Interaction: Designing Restful Mid-Air Input · CHI 2021
Interaction techniques and input
gesture input
0.112021
Elbow-Anchored Interaction: Designing Restful Mid-Air Input · CHI 2021

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

spherical input space · 0.5controlled study · 0.5
YearPublicationVenuePosition
2021 Elbow-Anchored Interaction: Designing Restful Mid-Air Input
abstract
We designed a mid-air input space for restful interactions on the couch. We observed people gesturing in various postures on a couch and found that posture affects the choice of arm motions when no constraints are imposed by a system. Study participants that sat with the arm rested were more likely to use the forearm and wrist, as opposed to the whole arm. We investigate how a spherical input space, where forearm angles are mapped to screen coordinates, can facilitate restful mid-air input in multiple postures. We present two controlled studies. In the first, we examine how a spherical space compares with a planar space in an elbow-anchored setup, with a shoulder-level input space as baseline. In the second, we examine the performance of a spherical input space in four common couch postures that set unique constraints to the arm. We observe that a spherical model that captures forearm movement facilitates comfortable input across different seated postures.
Rafael Veras, Gaganpreet Singh, Farzin Farhadi-Niaki, Ritesh Udhani, Parth Pradeep Patekar, Wei Zhou 0021, Pourang Irani, Wei Li 0002
CHI3