Evidence map›Paper›PMID 40363270›Full record

ArticleSensors (Basel, Switzerland)2025

ITap: Index Finger Tap Interaction by Gaze and Tabletop Integration.

Jeonghyeon Kim, Jemin Lee, Jung-Hoon Ahn, Youngwon Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jeonghyeon KimSchool of Computer Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi-si 39177, Republic of Korea.ORCID 0009-0009-2416-8127
Jemin LeeSchool of Computer Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi-si 39177, Republic of Korea.ORCID 0009-0001-2985-0055
Jung-Hoon AhnKorea Electronics Technology Institute (KETI), 226 Cheomdan-gwagiro, Buk-gu, Gwangju 61005, Republic of Korea.ORCID 0000-0001-8260-872X
Youngwon KimSchool of Computer Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi-si 39177, Republic of Korea.ORCID 0009-0004-3280-9653

Funding

Korea Institute of Energy Technology Evaluation and Planning (KETEP) and Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea RS-2024-00436695
6 · The paper itself

Abstract

This paper presents ITap, a novel interaction method utilizing hand tracking to create a virtual touchpad on a tabletop. ITap facilitates touch interactions such as tapping, dragging, and swiping using the index finger. The technique combines gaze-based object selection with touch gestures, while a pinch gesture performed with the opposite hand activates a manual mode, enabling precise cursor control independently of gaze direction. The primary purpose of this research is to enhance interaction efficiency, reduce user fatigue, and improve accuracy in gaze-based object selection tasks, particularly in complex and cluttered XR environments. Specifically, we addressed two research questions: (1) How does ITap's manual mode compare with the traditional gaze + pinch method regarding speed and accuracy in object selection tasks across varying distances and densities? (2) Does ITap provide improved user comfort, naturalness, and reduced fatigue compared to the traditional method during prolonged scrolling and swiping tasks? To evaluate these questions, two studies were conducted. The first study compared ITap's manual mode with the traditional gaze + pinch method for object selection tasks across various distances and in cluttered environments. The second study examined both methods for scrolling and swiping tasks, focusing on user comfort, naturalness, and fatigue. The findings revealed that ITap outperformed gaze + pinch in terms of object selection speed and error reduction, particularly in scenarios involving distant or densely arranged objects. Additionally, ITap demonstrated superior performance in scrolling and swiping tasks, with participants reporting greater comfort and reduced fatigue. The integration of gaze-based input and touch gestures provided by ITap offers a more efficient and user-friendly interaction method compared to the traditional gaze + pinch technique. Its ability to reduce fatigue and improve accuracy makes it especially suitable for tasks involving complex environments or extended usage in XR settings.

Indexed as

FingersTouchAdultFemaleFixation, OcularHumansMaleUser-Computer InterfaceYoung Adultgaze-based interactionhand trackingITapmultimodal interactionobject selectionscrollingswiping gesturestabletop interactionvirtual touchpad

Identifiers

PMID40363270
PMCPMC12074505

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.