Demo Data from SIGIR 2026 / reviewers in the wild / expert
Matthieu Rupin
dblp:273/7183
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0002-7716-1975ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 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 · 87% Interaction techniques and input · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction
haptic perception |
1.0 | 1 | 2026 | Does It Matter Which Finger You Use? Investigating Finger Identity and Haptic Pattern Recognition for Stationary and Moving Fingers · CHI 2026 |
Haptics and multimodal interaction › tactile display
touch screen haptics |
1.0 | 1 | 2026 | Does It Matter Which Finger You Use? Investigating Finger Identity and Haptic Pattern Recognition for Stationary and Moving Fingers · CHI 2026 |
Interaction techniques and input › touch interaction
touch input |
0.3 | 1 | 2026 | Does It Matter Which Finger You Use? Investigating Finger Identity and Haptic Pattern Recognition for Stationary and Moving Fingers · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
user experiment · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Does It Matter Which Finger You Use? Investigating Finger Identity and Haptic Pattern Recognition for Stationary and Moving FingersabstractHaptic perception on touchscreens varies across fingers, yet little is known about how finger identity and multi-finger use shape tactile discrimination and user experience. We conducted two experiments with four haptic feedback. In Experiment 1, right-handed participants explored each of the ten fingers individually under stationary and moving conditions. Experiment 2 examined two-finger sequences with same participants. Results showed that moving exploration enhanced accuracy, confidence, and enjoyment, while stationary touch increased cognitive and physical load, especially for weaker fingers such as the left ring and pinky. The right thumb and index consistently performed best. In dual-finger trials, moving exploration improved second-finger performance, and adjacent same-hand pairs (e.g., Left Index–Left Thumb, Right Thumb–Right Index) yielded higher synergy. These findings highlight the role of finger anatomy, motion, and coordination, and provide concrete guidelines on which fingers (or combinations) and exploration modes to assign for haptic surfaces that optimize accuracy, comfort, and engagement. Milad Jamalzadeh, Yosra Rekik, Matthieu Rupin, Frédéric Giraud 0001 |
CHI | 3 |
| 2024 | Enhancing Touch Circular Knob with Haptic Feedback when Performing Another Saturating Attention Primary TaskabstractTouch knobs usually require visual attention when performing a targeting task. This can draw the user’s visual focus to the device, which is not desirable if the visual attention is needed elsewhere. In this work, we investigated the use of haptic feedback for touch knobs when performing another primary task that saturates the attention. In an experiment, we compare three potential tactile feedback designs to a no-feedback variant for a circular targeting task, while performing an attention saturating primary task. Our findings indicate that two investigated designs, namely, gradual+hapticObject and adaptive+hapticObject, providing the user with both haptic feedback on the objects and continuous haptic feedback through the trajectory, can serve as a reliable and effective mechanism for increasing the speed and reducing the mental demand for the secondary task while reducing visual distraction for the primary task. Yosra Rekik, Adnane Guettaf, Matthieu Rupin, Milad Jamalzadeh, Laurent Grisoni |
AVI | 3 |