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Dhruv Kundu

dblp:292/5521 · 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
Wearable and physiological sensing · 44% Haptics and multimodal interaction · 44% Ubiquitous computing and smart environments · 13%

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

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › on-skin interfaces
on-skin wearables
0.512021
Soma-noti: Delivering Notifications Through Under-clothing Wearables · CHI 2021
Ubiquitous computing and smart environments › notification systems
notification delivery
0.112021
Soma-noti: Delivering Notifications Through Under-clothing Wearables · CHI 2021

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

user study · 0.5prototype development · 0.5
YearPublicationVenuePosition
2021 Soma-noti: Delivering Notifications Through Under-clothing Wearables
abstract
Different form factors of wearable technology provide unique opportunities for output based on how they are connected to the human body. In this work, we investigate the idea of delivering notifications through devices worn on the underside of a user’s clothing. A wearable worn in such a manner is in direct contact with the user’s skin. We leverage this proximity to test the performance of 10 on-skin sensations (Press, Poke, Pinch, Heat, Cool, Blow, Suck, Vibrate, Moisture and Brush) as methods of notification delivery. We developed prototypes for each stimulus and conducted a user study to evaluate them across 6 locations commonly covered by upper body clothing. Results indicate significant differences in reaction time, error rates and comfort which may influence the design of future under-clothing wearables.
Arpit Bhatia, Dhruv Kundu, Suyash Agarwal, Varnika Kairon, Aman Parnami
CHI2