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Ramzi Abou Chahine

dblp:320/7520 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-5616-9775ORCID · reported

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
Haptics and multimodal interaction · 77% Usability and user experience research · 23%

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

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › tactile perception
vibrotactile perception
0.712023
Can we crowdsource Tacton similarity perception and metaphor ratings? · CHI 2023
Usability and user experience research › evaluation methodology
crowdsourced evaluation
0.212023
Can we crowdsource Tacton similarity perception and metaphor ratings? · CHI 2023

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

user study · 0.7crowdsourcing · 0.7
YearPublicationVenuePosition
2023 Can we crowdsource Tacton similarity perception and metaphor ratings?
abstract
High-fidelity vibration actuators in recent mobile phones allow designers to crowdsource user evaluation of vibrotactile (VT) Tactons. Yet, little work has examined whether online crowdsourcing platforms can provide comparable results to lab studies. To address this question, we conducted two studies with iOS devices in the lab and crowdsourced settings. In Study I, 40 users provided pairwise similarity ratings for 12 VT Tactons that varied in their parameters (e.g., duration). In Study II, 40 new users rated pairwise similarities for 14 Tactons representing different metaphors (e.g., heartbeat). They also rated the Tactons’ match to the metaphors. In both studies, the resulting similarities and perceptual spaces strongly correlated in the lab and crowdsourced settings. Furthermore, 60% of the metaphor ratings were statistically equivalent in the two settings. We discuss the results and outline directions for future work on haptic crowdsourcing.
Dong-Jae Kwon, Ramzi Abou Chahine, Chungman Lim, Hasti Seifi, Gunhyuk Park
CHI2