VLDB 2026 Research / reviewers in the wild / expert
Maakito Inoue
dblp:260/9662
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
0000-0003-3297-0768ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 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
2 papers |
Immersive interaction · 38% Human-robot interaction · 36% Interaction techniques and input · 27% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
head-mounted display |
0.5 | 1 | 2021 | ModularHMD: A Reconfigurable Mobile Head-Mounted Display Enabling Ad-hoc Peripheral Interactions with the Real World · UIST 2021 |
Interaction techniques and input › post-WIMP interaction
peripheral interaction |
0.5 | 1 | 2021 | ModularHMD: A Reconfigurable Mobile Head-Mounted Display Enabling Ad-hoc Peripheral Interactions with the Real World · UIST 2021 |
Methods — techniques the papers use, named apart from their topics
user study · 1.2proof-of-concept prototype · 1.2optimization-based autopilot · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | BirdViewAR: Surroundings-aware Remote Drone Piloting Using an Augmented Third-person PerspectiveabstractWe propose BirdViewAR, a surroundings-aware remote drone-operation system that provides significant spatial awareness to pilots through an augmented third-person view (TPV) from an autopiloted secondary follower drone. The follower drone responds to the main drone’s motions and directions using our optimization-based autopilot, allowing the pilots to clearly observe the main drone and its imminent destination without extra input. To improve their understanding of the spatial relationships between the main drone and its surroundings, the TPV is visually augmented with AR-overlay graphics, where the main drone’s spatial statuses are highlighted: its heading, altitude, ground position, camera field-of-view (FOV), and proximity areas. We discuss BirdViewAR’s design and implement its proof-of-concept prototype using programmable drones. Finally, we conduct a preliminary outdoor user study and find that BirdViewAR effectively increased spatial awareness and piloting performance. Maakito Inoue, Kazuki Takashima, Kazuyuki Fujita, Yoshifumi Kitamura |
CHI | 1 |
| 2021 | ModularHMD: A Reconfigurable Mobile Head-Mounted Display Enabling Ad-hoc Peripheral Interactions with the Real WorldabstractWe propose ModularHMD, a new mobile head-mounted display concept, which adopts a modular mechanism and allows a user to perform ad-hoc peripheral interaction with real-world devices or people during VR experiences. ModularHMD is comprised of a central HMD and three removable module devices installed in the periphery of the HMD cowl. Each module has four main states: occluding, extended VR view, video see-through (VST), and removed/reused. Among different combinations of module states, a user can quickly setup the necessary HMD forms, functions, and real-world visions for ad-hoc peripheral interactions without removing the headset. For instance, an HMD user can see her surroundings by switching a module into the VST mode. She can also physically remove a module to obtain direct peripheral visions of the real world. The removed module can be reused as an instant interaction device (e.g., touch keyboards) for subsequent peripheral interactions. Users can end the peripheral interaction and revert to a full VR experience by re-mounting the module. We design ModularHMD’s configuration and peripheral interactions with real-world objects and people. We also implement a proof-of-concept prototype of ModularHMD to validate its interactions capabilities through a user study. Results show that ModularHMD is an effective solution that enables both immersive VR and ad-hoc peripheral interactions. Isamu Endo, Kazuki Takashima, Maakito Inoue, Kazuyuki Fujita, Kiyoshi Kiyokawa, Yoshifumi Kitamura |
UIST | 3 |