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Sara Honarvar

dblp:304/8251 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 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
1 paper
Human-robot interaction · 56% Immersive interaction · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction
augmented reality interaction
0.612022
Effectiveness of Augmented Reality for Human Swarm Interactions · ICRA 2022
Human-robot interaction
human-swarm interaction
0.612022
Effectiveness of Augmented Reality for Human Swarm Interactions · ICRA 2022
Human-robot interaction
teleoperation
0.212022
Effectiveness of Augmented Reality for Human Swarm Interactions · ICRA 2022

Methods — techniques the papers use, named apart from their topics

user study · 0.6
YearPublicationVenuePosition
2022 Effectiveness of Augmented Reality for Human Swarm Interactions
abstract
Human-Swarm Interaction (HSI) is a fast-growing research area in swarm robotics. One challenging aspect of HSI is facilitating effective handling of the many degrees-of-freedom present in robot swarms by humans. One emergent option is the use of Augmented Reality (AR) systems to encode information. AR based interfaces can help provide human operators with visual cues about the swarm's states and control to facilitate decision-making. In research settings, AR systems can address issues such as limited availability of lab spaces, limited access to robotics resources, and the need for the ability to simulate dynamic environments with which robots and humans can interact. Further, to make swarm robotics more accessible and ubiquitous, HSI systems that support remote interaction would allow humans to interact with robot swarms and multi-robot systems regardless of the geographical distance between humans and swarms. Taking these into consideration, we aim to investigate the effectiveness of AR based interfaces as tools for remote interaction in HSI systems. We developed a simple AR based interface and evaluated its effectiveness against an unaugmented interface, by means of remote human user studies where a human operator would control a team of robots remotely through a video call. Our finding suggests that augmentation can improve control accuracy and reduce collision safety violations when performing navigation tasks. Through experimental surveys, it is shown that operators with varying levels of robotics and technology experience overwhelmingly prefer the augmented interface to facilitate swarm control. These results suggest that AR-based interfaces are effective in improving the control experience in remote HSI.
Sarjana Oradiambalam Sachidanandam, Sara Honarvar, Yancy Diaz-Mercado
ICRA2