Juan M. Pieschacon

dblp:412/4402 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0001-7912-2796ORCID · reported

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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 · 44% Learning and educational technologies · 44% Immersive interaction · 13%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction › virtual reality
virtual reality simulation
0.312025
Smart Pipette: Elevating Laboratory Performance With Tactile Authenticity and Real-Time Feedback · IEEE Trans. Vis. Comput. Graph. 2025
YearPublicationVenuePosition
2025 Smart Pipette: Elevating Laboratory Performance With Tactile Authenticity and Real-Time Feedback
abstract
Mastering the correct use of laboratory equipment is a fundamental skill for undergraduate science students involved in laboratory-based training. However, hands-on laboratory time is often limited, and remote students may struggle as their absence from the physical lab limits their skill development. An air displacement micropipette was selected for this investigation, as accuracy and correct technique are essential in generating reliable assay data. Handling small liquid volumes demands hand dexterity and practice to achieve proficiency. This research assesses the importance of tactile authenticity during training by faithfully replicating the micropipette's key physical and operational characteristics. We developed a custom haptic training approach called 'Smart Pipette' which promotes accurate operation and enhances laboratory dexterity training. A comparative user study with 34 participants evaluated the effectiveness of the Smart Pipette custom haptic device against training with off-the-shelf hardware, specifically the Quest VR hand controller, which was chosen because it is held mid-air similar to a laboratory micropipette. Both training conditions are integrated with the same self-paced virtual simulation displayed on a computer screen, offering audiovisual instructions and real-time guidance. Results demonstrated that participants trained with the Smart Pipette custom haptic exhibited increased accuracy and precision while making fewer errors than those trained with off-the-shelf hardware. The Smart Pipette and the Quest VR controller had no significant differences in cognitive load or system usability scores. Tactile authentic interaction devices address challenges faced by online learners, while their applicability extends to traditional classrooms, where real-time feedback significantly enhances overall training performance outcomes.
Juan M. Pieschacon, Maurizio Costabile, Andrew Cunningham, Joanne E. Zucco, G. Stewart Von Itzstein, Ross Smith 0001
IEEE Trans. Vis. Comput. Graph.1