Demo Data from SIGIR 2026 / reviewers in the wild / expert
Samyuktha Mikkilineni
dblp:94/6293
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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% Learning and educational technologies · 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 feedback
force feedback |
0.0 | 1 | 2004 | Eye-hand Coordination Assessment Using a Robotic Haptic Interface · ICRA 2004 |
Haptics and multimodal interaction
haptic interface |
0.0 | 1 | 2004 | Eye-hand Coordination Assessment Using a Robotic Haptic Interface · ICRA 2004 |
Learning and educational technologies › skill acquisition › motor skill learning
eye-hand coordination training |
0.0 | 1 | 2004 | Eye-hand Coordination Assessment Using a Robotic Haptic Interface · ICRA 2004 |
Methods — techniques the papers use, named apart from their topics
inertia and viscosity effects · 0.0haptic rendering · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Eye-hand Coordination Assessment Using a Robotic Haptic InterfaceabstractWe discuss the possibility of improving eyehand coordination in children diagnosed with this problem, using a robotic mapping from a haptic user interface to a virtual environment. Our goal is to develop an assessment and training procedure that will result in improving handwriting taking the advantage of the force feedback provided by the haptic device. Force feedback can be used to guide the subject's hand in a predetermined trajectory when he/she is unable to move in response to visual feedback. We also incorporate the inertia and viscosity effects to decrease the tremor in the hand as well as to stimulate the muscles involved in the task of holding a pencil (known as facilitation technique in the occupational therapy field). The robotic system is operated within ranges established by baseline data for accuracy of eye-hand coordination and grip strength. A set of assessment tests, commonly used by occupational therapists, were chosen to implement the various functions using force, inertia and viscosity effects. The test bed used for these tasks consisted of a six-degree-of-freedom force reflecting haptic interface device, PHANToM with the GHOST SDK Software. Preliminary data obtained from two children diagnosed with eye-hand coordination problems show that the assistance provided, improved their ability to execute and complete the tasks, suggesting that the system could be used for assessment and training purposes. In addition, these results suggest that the introduction of the haptic rendering capabilities, including the force feedback, offers special benefit and measures the impact on the occupation of handwriting. Furthermore, a real application of this system could be implemented in the future, by identifying specific job tasks that may be made accessible through a desktop in classrooms by the aforementioned haptic system. Norali Pernalete, Ramakrishna Gottipati, Samyuktha Mikkilineni, Sandra Edwards, Erin McCann, Rajiv V. Dubey |
ICRA | 3 |