End-User Development for Human-Robot Interaction Workshop Overview

Core Concepts

End-user development (EUD) is crucial in making robotics accessible, but its role within HRI is not well-defined. The authors aim to address challenges and questions related to EUD in human-robot interaction.

Abstract

The content discusses the importance of End-User Development (EUD) in Human-Robot Interaction (HRI). It highlights the struggles of EUD to define its role among alternative approaches, such as robot learning and teleoperation. The authors organize a workshop to address key questions and challenges surrounding EUD in HRI, aiming for consensus on its role within human-robot interaction.

Stats

Key questions remain such as how EUD is justified over alternate approaches to application development.
Questions surround open-source expectations of contributions, maintenance of tools, and emergence within design-focused tracks.
Many researchers prefer different interface paradigms and paradigms for capturing applications with little theory on when different paradigms should be used.

Quotes

"We seek to address these challenges and questions by organizing the first End-User Development for Human-Robot Interaction (EUD4HRI) workshop."
"The workshop will bring together researchers with a wide range of expertise across academia and industry."
"We aim to cultivate a body of contributions that stimulate discussion, challenge the current state of the field, and offer novel positions on how EUD can be best situated within HRI."

Key Insights Distilled From

End-User Development for Human-Robot Interaction

by Laur... at arxiv.org 02-29-2024

https://arxiv.org/pdf/2402.17878.pdf

Deeper Inquiries

How can EUD be effectively justified over alternative approaches in application development?

End-User Development (EUD) can be effectively justified over alternative approaches in application development by focusing on its key strengths and advantages. One of the primary justifications for EUD is its ability to empower non-programmers, experts, and even end-users to create robot applications without extensive programming knowledge. This democratization of application development allows for a wider range of individuals to engage with robotics, fostering innovation and creativity.
Furthermore, EUD tools often provide intuitive interfaces that make it easier for users to interact with robots, reducing the barrier to entry for developing applications. By leveraging visual programming environments or natural language communication, EUD enhances user experience and encourages more people to participate in human-robot interaction.
Another justification lies in the flexibility and adaptability of EUD systems. Unlike rigid pre-programmed behaviors or complex machine learning algorithms, EUD allows users to quickly iterate on their ideas, test different scenarios, and customize interactions based on specific needs or preferences. This agility is crucial in dynamic environments where requirements may change frequently.
Moreover, EUD promotes user engagement and ownership of the development process. When end-users are involved in creating applications for human-robot interaction, they have a deeper understanding of the system's capabilities and limitations. This hands-on involvement leads to more tailored solutions that better meet user expectations.
In summary, the justification for using EUD over alternative approaches stems from its inclusivity, usability, flexibility, agility, and promotion of user engagement throughout the application development process.

What are the implications of diverging trends within EUD for HRI?

Diverging trends within End-User Development (EUD) for Human-Robot Interaction (HRI) present both challenges and opportunities for researchers and practitioners in this field.
One implication is the need to reconcile different perspectives on how best to approach application development within HRI. As various subfields such as robot learning techniques or teleoperation continue to evolve independently alongside traditional EUD methods, there arises a challenge in integrating these diverse approaches cohesively. Researchers must navigate these diverging trends carefully to leverage advancements while maintaining compatibility with existing practices.
Additionally,
the emergence
of new technologies
and methodologies
in HRI necessitates ongoing adaptation
within
the realm
of
E UD.
For example,
as robotic systems become more autonomous
or interactive,
there may be shifts towards incorporating AI-driven decision-making processes into end-user tools.
This evolution requires continuous evaluation
and adjustment
to ensure that
E UD remains relevant
and effective
Furthermore,
diverging trends highlight
the importance
of standardization
and collaboration across disciplines.
As different research groups pursue unique paths
in developing e nd-u ser t ools ,
establishing common frameworks , terminologies , an d guidelines becomes essential .
By fostering communication
an d sharing best practices ,
t he community c an address fragmentation an d work towards unified goals .
Ultimately ,
embracing diverging trends within EU D f o r HR I presents an opportunity fo r growth , innovation , an d cross-pollination o f ideas . B y navigating these complexities thoughtfully , researchers c a n harness t h e full potential o f varied approaches w ithi n th e field

How can interdisciplinary collaborations enhance the understanding of EUD's role in human-robot interaction?

Interdisciplinary collaborations play a vital role in enhancing our understanding of End-User Development's (EUD) role in Human-Robot Interaction (HRI). By bringing together experts from diverse fields such as robotics engineering,
human-computer interaction,
cognitive psychology ,
a rtificial intelligence ,
an d design ,
interdisciplinary collaborations offer fresh perspectives ,
novel insights , an d innovative solutions t hat enrich th e study o f EU D i n HR I
Firstly,
collaborations enable researchers t o draw upon complementary expertise fro m multiple domains .
For instance ,
engineers ma y contribute technical knowledge regarding robot capabilities ;
psychologists might offer insights int o human behavior s;
designers could focus on creating intuitive interfaces ;
an d computer scientists might develop novel algorithms fo r personalized interactions .
T his multidisciplinary approach fosters holistic understandings
o f EU D wit hin th e context o f HR I
Secondly,
interdisciplinary collaborations encourage creative problem-solving through diverse viewpoints .
By engaging with professionals fro m varying backgrounds ,
researchers ca n explore unconventional strategies ,
challenge existing assumptions ,
an d push boundaries i n defining th e scope an d impact
o f EU D i n HR I
Thirdly,
such collaborations facilitate technology transfer
by bridging gaps between academic research
an industry practice .
Insights gained through interdisciplinary efforts c a n inform real-world applications
a nd vice versa ,
leading t o practical innovations tha t benefit bot h academia industrial stakeholders .
Overall,
interdisciplinary collaborations serve as catalysts fo r advancing knowledge
enhancing methodologies ,
a nd driving progress wit hin th e field
o f EU D i n HR I