A Case Study on the Acceptance of a Humanoid Robotic Head Employed in Three Public Spaces
- URL: http://arxiv.org/abs/2607.24113v1
- Date: Mon, 27 Jul 2026 07:56:28 GMT
- Title: A Case Study on the Acceptance of a Humanoid Robotic Head Employed in Three Public Spaces
- Abstract summary: This paper reports on how our robot processes natural language to generate a multimodal, verbal response integrating emotional expressions.<n>On average users were motivated to use the robot and found it rather useful and easy to use regardless of the specific location.<n>Overall, the robot's multi-lingual responses were very much appreciated, but every fifth user found the response time too slow impeding the dialog flow.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: Previous research has shown that a human-like robot's acceptance heavily depends on the setting in which it operates and its ability to perform relevant tasks. This paper, first, reports on how our robot processes natural language to generate a multimodal, verbal response integrating emotional expressions based on an emotion simulation backend. Then, it describes how visitors were invited to speak with our robot in their own language at three different, public locations, where the robot was running continuously for several days. The TAM2 questionnaire results reveal that on average users were motivated to use the robot and found it rather useful and easy to use regardless of the specific location. However, public spaces like the tourist information and the city library seem to be a better fit for our interactive, robotic head than an office environment such as the building authority, where the willingness to interact was lower. Overall, the robot's multi-lingual responses were very much appreciated, but every fifth user found the response time too slow impeding the dialog flow, which remains to be improved in future work.
Related papers
- Back to the museum: Investigation of the acceptance of Android Andrea with and without emotion simulation in a museum [0.0]
The android robot Andrea was set up at a public museum in Germany for six consecutive days to have conversations with visitors, fully autonomously.<n>The robot was prepared with context information about the museum in general and its surrounding exhibits this time.<n>The robot featured a slightly artificial sounding voice that was previously evaluated as congruent with its gender-ambiguous but very humanlike design.
arXiv Detail & Related papers (2026-07-17T18:22:49Z) - Project Report: Requirements for a Social Robot as an Information Provider in the Public Sector [0.0]
We have devised an application scenario for integrating a humanoid social robot into an official environment.<n>We developed a corresponding robot application and carried out initial tests and evaluations in a project together with the Kiel City Council.<n>One of the most important insights gained in the project was that a humanoid robot with natural language processing capabilities proved to be much more preferred by users.<n>We propose a connection of the ACT-R cognitive architecture with the robot, where an ACT-R model is used in interaction with the robot application to cognitively process and enhance a dialogue between human and robot.
arXiv Detail & Related papers (2024-12-06T13:07:06Z) - Socially Pertinent Robots in Gerontological Healthcare [81.67026771075037]
This paper is an attempt to partially answer the question, via two waves of experiments with patients and companions in a day-care gerontological facility in Paris with a full-sized humanoid robot endowed with social and conversational interaction capabilities.<n>Overall, the users are receptive to this technology, especially when the robot perception and action skills are robust to environmental clutter and flexible to handle a plethora of different interactions.
arXiv Detail & Related papers (2024-04-11T08:43:37Z) - Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community [57.56212633174706]
The ability to interact with machines using natural human language is becoming commonplace, but expected.
In this paper, we chronicle the recent history of this growing field of spoken dialogue with robots.
We offer the community three proposals, the first focused on education, the second on benchmarks, and the third on the modeling of language when it comes to spoken interaction with robots.
arXiv Detail & Related papers (2024-04-01T15:03:27Z) - RoboScript: Code Generation for Free-Form Manipulation Tasks across Real
and Simulation [77.41969287400977]
This paper presents textbfRobotScript, a platform for a deployable robot manipulation pipeline powered by code generation.
We also present a benchmark for a code generation benchmark for robot manipulation tasks in free-form natural language.
We demonstrate the adaptability of our code generation framework across multiple robot embodiments, including the Franka and UR5 robot arms.
arXiv Detail & Related papers (2024-02-22T15:12:00Z) - Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in
Conversations with the Tabletop Robot Haru [9.2526849536751]
We introduce a fully-automated conversation system that leverages large language models (LLMs) to generate robot responses with expressive behaviors.
We conduct a pilot study where volunteers chat with a social robot using our proposed system, and we analyze their feedback, conducting a rigorous error analysis of chat transcripts.
Most negative feedback was due to automatic speech recognition (ASR) errors which had limited impact on conversations.
arXiv Detail & Related papers (2024-02-18T12:35:52Z) - Exploring Large Language Models to Facilitate Variable Autonomy for Human-Robot Teaming [4.779196219827508]
We introduce a novel framework for a GPT-powered multi-robot testbed environment, based on a Unity Virtual Reality (VR) setting.
This system allows users to interact with robot agents through natural language, each powered by individual GPT cores.
A user study with 12 participants explores the effectiveness of GPT-4 and, more importantly, user strategies when being given the opportunity to converse in natural language within a multi-robot environment.
arXiv Detail & Related papers (2023-12-12T12:26:48Z) - Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots [119.55240471433302]
Habitat 3.0 is a simulation platform for studying collaborative human-robot tasks in home environments.
It addresses challenges in modeling complex deformable bodies and diversity in appearance and motion.
Human-in-the-loop infrastructure enables real human interaction with simulated robots via mouse/keyboard or a VR interface.
arXiv Detail & Related papers (2023-10-19T17:29:17Z) - Robots with Different Embodiments Can Express and Influence Carefulness
in Object Manipulation [104.5440430194206]
This work investigates the perception of object manipulations performed with a communicative intent by two robots.
We designed the robots' movements to communicate carefulness or not during the transportation of objects.
arXiv Detail & Related papers (2022-08-03T13:26:52Z) - Understanding Natural Language in Context [13.112390442564442]
We focus on cognitive robots, which have some knowledge-based models of the world and operate by reasoning and planning with this model.
Our goal in this research is to translate natural language utterances into this robot's formalism.
We do so by combining off-the-shelf SOTA language models, planning tools, and the robot's knowledge-base for better communication.
arXiv Detail & Related papers (2022-05-25T11:52:16Z) - Semantics for Robotic Mapping, Perception and Interaction: A Survey [93.93587844202534]
Study of understanding dictates what does the world "mean" to a robot.
With humans and robots increasingly operating in the same world, the prospects of human-robot interaction also bring semantics into the picture.
Driven by need, as well as by enablers like increasing availability of training data and computational resources, semantics is a rapidly growing research area in robotics.
arXiv Detail & Related papers (2021-01-02T12:34:39Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.