Demo Data from SIGIR 2026 / reviewers in the wild / expert
Evan Pezent
dblp:208/1422
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
0000-0003-0725-4997ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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
2 papers |
Haptics and multimodal interaction · 50% Interaction techniques and input · 50% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › text entry
mid-air typing |
0.7 | 1 | 2023 | Investigating Eyes-away Mid-air Typing in Virtual Reality using Squeeze haptics-based Postural Reinforcement · CHI 2023 |
Interaction techniques and input
text entry |
0.7 | 1 | 2023 | Investigating Eyes-away Mid-air Typing in Virtual Reality using Squeeze haptics-based Postural Reinforcement · CHI 2023 |
Haptics and multimodal interaction › tactile perception
vibrotactile perception |
0.6 | 1 | 2022 | Design, Control, and Psychophysics of Tasbi: A Force-Controlled Multimodal Haptic Bracelet · IEEE Trans. Robotics 2022 |
Haptics and multimodal interaction
wearable haptic device |
0.6 | 1 | 2022 | Design, Control, and Psychophysics of Tasbi: A Force-Controlled Multimodal Haptic Bracelet · IEEE Trans. Robotics 2022 |
Methods — techniques the papers use, named apart from their topics
user study · 0.7eye tracking · 0.7psychophysical experiment · 0.6closed-loop force control · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Investigating Eyes-away Mid-air Typing in Virtual Reality using Squeeze haptics-based Postural ReinforcementabstractIn this paper, we investigate postural reinforcement haptics for mid-air typing using squeeze actuation on the wrist. We propose and validate eye-tracking based objective metrics that capture the impact of haptics on the user’s experience, which traditional performance metrics like speed and accuracy are not able to capture. To this end, we design four wrist-based haptic feedback conditions: no haptics, vibrations on keypress, squeeze+vibrations on keypress, and squeeze posture reinforcement + vibrations on keypress. We conduct a text input study with 48 participants to compare the four conditions on typing and gaze metrics. Our results show that for expert qwerty users, posture reinforcement haptics significantly benefit typing by reducing the visual attention on the keyboard by up to 44% relative to no haptics, thus enabling eyes-away behaviors. Aakar Gupta, Naveen Sendhilnathan, Jessica Hartcher-O'Brien, Evan Pezent, Hrvoje Benko, Tanya R. Jonker |
CHI | 4 |
| 2022 | Design, Control, and Psychophysics of Tasbi: A Force-Controlled Multimodal Haptic BraceletabstractHaptic feedback is known to enhance the realism of an individual’s interactions with objects in virtual environments. Wearable haptic devices, such as vibrotactile sleeves or armbands, can provide haptic feedback in a smaller and more lightweight form factor than haptic gloves that can be bulky and cumbersome to the wearer. In this article, we present tactile and squeeze bracelet interface (Tasbi), a multimodal haptic wristband that can provide radial squeeze forces around the wrist along with vibrotactile feedback at six discrete locations around the band. Tasbi implements a squeezing mechanism that minimizes tangential forces between the band’s points of contact with the skin, instead of focusing the motor actuation to predominantly normal forces. Force sensing capacitors enable closed-loop control of the squeeze force, while vibration is achieved with linear resonant actuators. A detailed description of the design and experimental results demonstrating closed-loop control of squeeze cues provided by Tasbi is presented. Additionally, we present the results of psychophysical experiments that quantify user perception of the vibration and squeeze cues, including vibrotactile identification accuracy in the presence of varying squeeze forces, discrimination thresholds for the squeeze force, and an analysis of user preferences for squeeze actuation magnitudes. Evan Pezent, Priyanshu Agarwal, Jessica Hartcher-O'Brien, Nick Colonnese, Marcia Kilchenman O'Malley |
IEEE Trans. Robotics | 1 |