Towards Multifaceted Human-Centered AI
- URL: http://arxiv.org/abs/2301.03656v1
- Date: Mon, 9 Jan 2023 19:56:47 GMT
- Title: Towards Multifaceted Human-Centered AI
- Authors: Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser
Kandogan
- Abstract summary: Human-centered AI involve stakeholders with multiple roles interacting with each other and automated agents to accomplish diverse tasks.
In this paper, we call for a holistic view when designing support mechanisms, such as interaction paradigms, and systems.
- Score: 9.95226150616764
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: Human-centered AI workflows involve stakeholders with multiple roles
interacting with each other and automated agents to accomplish diverse tasks.
In this paper, we call for a holistic view when designing support mechanisms,
such as interaction paradigms, interfaces, and systems, for these multifaceted
workflows.
Related papers
- Asynchronous Tool Usage for Real-Time Agents [61.3041983544042]
We introduce asynchronous AI agents capable of parallel processing and real-time tool-use.
Our key contribution is an event-driven finite-state machine architecture for agent execution and prompting.
This work presents both a conceptual framework and practical tools for creating AI agents capable of fluid, multitasking interactions.
arXiv Detail & Related papers (2024-10-28T23:57:19Z) - BMW Agents -- A Framework For Task Automation Through Multi-Agent Collaboration [0.0]
We focus on designing a flexible agent engineering framework capable of handling complex use case applications across various domains.
The proposed framework provides reliability in industrial applications and presents techniques to ensure a scalable, flexible, and collaborative workflow for multiple autonomous agents.
arXiv Detail & Related papers (2024-06-28T16:39:20Z) - An Interactive Agent Foundation Model [49.77861810045509]
We propose an Interactive Agent Foundation Model that uses a novel multi-task agent training paradigm for training AI agents.
Our training paradigm unifies diverse pre-training strategies, including visual masked auto-encoders, language modeling, and next-action prediction.
We demonstrate the performance of our framework across three separate domains -- Robotics, Gaming AI, and Healthcare.
arXiv Detail & Related papers (2024-02-08T18:58:02Z) - Revisiting Disentanglement and Fusion on Modality and Context in
Conversational Multimodal Emotion Recognition [81.2011058113579]
We argue that both the feature multimodality and conversational contextualization should be properly modeled simultaneously during the feature disentanglement and fusion steps.
We propose a Contribution-aware Fusion Mechanism (CFM) and a Context Refusion Mechanism ( CRM) for multimodal and context integration.
Our system achieves new state-of-the-art performance consistently.
arXiv Detail & Related papers (2023-08-08T18:11:27Z) - Persistent-Transient Duality: A Multi-mechanism Approach for Modeling
Human-Object Interaction [58.67761673662716]
Humans are highly adaptable, swiftly switching between different modes to handle different tasks, situations and contexts.
In Human-object interaction (HOI) activities, these modes can be attributed to two mechanisms: (1) the large-scale consistent plan for the whole activity and (2) the small-scale children interactive actions that start and end along the timeline.
This work proposes to model two concurrent mechanisms that jointly control human motion.
arXiv Detail & Related papers (2023-07-24T12:21:33Z) - A Unified Architecture for Dynamic Role Allocation and Collaborative
Task Planning in Mixed Human-Robot Teams [0.0]
We present a novel architecture for dynamic role allocation and collaborative task planning in a mixed human-robot team of arbitrary size.
The architecture capitalizes on a centralized reactive and modular task-agnostic planning method based on Behavior Trees (BTs)
Different metrics used as MILP cost allow the architecture to favor various aspects of the collaboration.
arXiv Detail & Related papers (2023-01-19T12:30:56Z) - Participation Interfaces for Human-Centered AI [6.85316573653194]
This paper introduces interactive visual "participation interfaces" for Markov Decision Processes (MDPs) and collaborative ranking problems as examples restoring a human-centered locus of control.
arXiv Detail & Related papers (2022-11-15T18:57:34Z) - Rethinking Trajectory Prediction via "Team Game" [118.59480535826094]
We present a novel formulation for multi-agent trajectory prediction, which explicitly introduces the concept of interactive group consensus.
On two multi-agent settings, i.e. team sports and pedestrians, the proposed framework consistently achieves superior performance compared to existing methods.
arXiv Detail & Related papers (2022-10-17T07:16:44Z) - A ROS Architecture for Personalised HRI with a Bartender Social Robot [61.843727637976045]
BRILLO project has the overall goal of creating an autonomous robotic bartender that can interact with customers while accomplishing its bartending tasks.
We present the developed three-layers ROS architecture integrating a perception layer managing the processing of different social signals, a decision-making layer for handling multi-party interactions, and an execution layer controlling the behaviour of a complex robot composed of arms and a face.
arXiv Detail & Related papers (2022-03-13T11:33:06Z) - A Mental-Model Centric Landscape of Human-AI Symbiosis [31.14516396625931]
We introduce a significantly general version of human-aware AI interaction scheme, called generalized human-aware interaction (GHAI)
We will see how this new framework allows us to capture the various works done in the space of human-AI interaction and identify the fundamental behavioral patterns supported by these works.
arXiv Detail & Related papers (2022-02-18T22:08:08Z) - Designing Interaction for Multi-agent Cooperative System in an Office
Environment [2.2430284460908605]
Future intelligent system will involve very various types of artificial agents, such as mobile robots, smart home infrastructure or personal devices.
This paper presents the design and implementation of the human-machine interface of Intelligent Cyber-Physical system (ICPS)
ICPS is a multi-entity coordination system of robots and other smart devices in a working environment.
arXiv Detail & Related papers (2020-02-15T17:36:00Z)
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.