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Praneeth Bimsara Perera

dblp:345/0117 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2026
0000-0001-9390-8381ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 3 · 1 first-author · 3 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
3 papers
Design research and methods · 27% Haptics and multimodal interaction · 26% User interface design and tools · 22%

Topics — the 2 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Design research and methods › design space
design space exploration
0.912025
eTactileKit: A Toolkit for Design Exploration and Rapid Prototyping of Electro-Tactile Interfaces · UIST 2025
User interface design and tools › prototyping
rapid prototyping
0.912025
eTactileKit: A Toolkit for Design Exploration and Rapid Prototyping of Electro-Tactile Interfaces · UIST 2025

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

user study · 1.0parametric rendering · 1.0electro-tactile interface · 1.0technical evaluation · 0.7parametric design · 0.7
YearPublicationVenuePosition
2026 TactDeform: Finger Pad Deformation Inspired Spatial Tactile Feedback for Virtual Geometry Exploration
abstract
Spatial tactile feedback can enhance the realism of geometry exploration in virtual reality applications. Current vibrotactile approaches often face challenges with the spatial and temporal resolution needed to render different 3D geometries. Inspired by the natural deformation of finger pads when exploring 3D objects and surfaces, we propose TactDeform, a parametric approach to render spatio-temporal tactile patterns using a finger-worn electro-tactile interface. The system dynamically renders electro-tactile patterns based on both interaction contexts (approaching, contact, and sliding) and geometric contexts (geometric features and textures), emulating deformations that occur during real-world touch exploration. Results from a user study \rr{(N=24)} show that the proposed approach enabled high texture discrimination and geometric feature identification compared to a baseline. Informed by results from a free 3D-geometry exploration phase, we provide insights that can inform future tactile interface designs.
Yihao Dong, Praneeth Bimsara Perera, Chin-Teng Lin, Craig T. Jin, Anusha Withana
CHI2
2025 eTactileKit: A Toolkit for Design Exploration and Rapid Prototyping of Electro-Tactile Interfaces
Praneeth Bimsara Perera, Ravindu Madhushan Pushpakumara, Hiroyuki Kajimoto, Arata Jingu, Jürgen Steimle, Anusha Withana
UIST1
2023 Design, Mould, Grow!: A Fabrication Pipeline for Growing 3D Designs Using Myco-Materials
abstract
There is a growing interest in sustainable fabrication approaches, including the exploration of material conservation and utilisation of waste materials. Particularly, recent work has applied organic myco-materials, made from fungi, to develop tangible, interactive devices. However, a systematic approach for 3D fabrication using myco-materials is under-explored. In this paper, we present a parametric design tool and a fabrication pipeline to grow 3D designs using the mycelia of edible fungi species, such as Reishi or Oyster mushrooms. The proposed tool is designed based on empirical results from a series of technical evaluations of the geometric and material qualities of 3D-grown myco-objects. Furthermore, the paper introduces an easy-to-replicate fabrication process that can recycle different organic waste material combinations such as sawdust and coffee grounds to grow mycelia. Through a series of demonstration applications, we identify the challenges and opportunities for working with myco-materials in the HCI context.
Phillip Gough, Praneeth Bimsara Perera, Michael A. Kertesz, Anusha Withana
CHI2