Human agent collaboration

Human agent collaboration. ” Feb 20, 2024 · In this work, we introduce the problem of LLM-based human-agent collaboration for complex task-solving, exploring their synergistic potential. Over-trusting the autonomous system sometimes causes serious safety issues. DOI: 10. Second, that much of the on-going discourse around human-agent interaction implies Dec 5, 2023 · Human–agent interaction in virtual collaboration at the workplace Virtual collaboration describes the working of team members in companies whose communication is predominantly computer-based instead of face-to-face encounters (Kristof et al. 1145/1473018. Nov 30, 2023 · Humans teaming with intelligent autonomous agents is becoming indispensable in work environments. See full list on dl. , 2020). This paper presents an innovative shared intelligence framework for flexible human-agent collaboration. Section 4 then describes the system while Section 5 presents our experimental setup and results of our experi-ments. The “human-compatible” agents from these experiments Proc. However, a significant gap remains in assessing whether LLM-powered applications genuinely enhance user experience and task execution efficiency. For this collaboration to be effective, human operators must appropriately trust the agent(s) they are interacting Aug 8, 2023 · Purpose of Review Current real-world interaction between humans and robots is extremely limited. 757. First, there exists no global resource that. Jun 1, 2023 · The advanced Proactive HRC is characterised by four pivotal modules: (1) mutual-cognition and empathy among human–robot–workspace execution loop, (2) predictable spatio-temporal collaboration for task fulfilment, (3) self-organising multi-agent teamwork with dynamic resource allocation, and (4) compliance robot control and proactive robot Jul 26, 2021 · This paper introduces the theoretical basis for SA and. It is very important to understand the design process of the HAC system (HACS). strapped Logistic Regression for Human Agent Collaboration. 9 s (p = 0. Eileen Roesler and her team shed light on the multifaceted challenges that characterize the collaboration between humans and novel (embodied) agents, thereby paving the way for a more intuitive and socially conscious relationship with the technologies that will shape our future. He was a recipient of the National Science Foundation Young Investigator Award in 1992. Pelachaud, M. , Citation 1995 ). ’s (2019) teamwork In CHI Conference on Human Factors in Computing Systems. Ramchurn and Joel E. SMMall implements a hidden Markov model (HMM)-based cognitive load model for an agent to presents related work while Section 3 describes the human-agent collaboration challenges faced when coordinating mul-tiple UAVs. May 29, 2019 · The latest technology for service is virtual agents: Automated systems, trained on service transcripts, that can use AI to recognize and respond to customer requests whether by phone or chat. While utilizing natural language to coordinate multiple agents presents a promising avenue for democratizing agent technology for general users, designing coordination strategies remains challenging May 21, 2019 · Intelligence reveals itself in a variety of ways, including the ability to adapt to unknown situations or changing environments. Chen et al. 2023. SA in human -agent collaboration. View Show Jun 19, 2015 · This paper derives time-series human–agent mutual trust models based on results from human factors engineering and sets up dynamic timing models for the multi-agent scheduling problem and develops necessary and sufficient conditions to test the schedulability of the human multi- agent collaborative task. Mascardi, C. May 6, 2017 · Second, that much of the on-going discourse around human-agent interaction implies that agents can be trusted, collaborative partners. Jul 25, 2015 · A set of multi-UAV supervisory control interfaces and a multi-agent coordination algorithm to support human decision making in a setting where a team of humans oversee the coordination of multiple Unmanned Aerial Vehicles to perform a number of search tasks in dynamic environments that may cause the UAVs to drop out is developed. Jan 16, 2008 · The influence of agent reliability on trust in human-agent collaboration. Reinforcement learning provides effective results with agents learning from their observations, received rewards, and internal interactions between agents. 1080/10447318. Our validation tests confirm the model's effectiveness. of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), P. Taylor (eds. Second, that much of the on-going discourse around human-agent interaction implies that agents can be trusted, collaborative partners. 1177/1071181320641091 Corpus ID: 225592419; Impact of Agents’ Errors on Performance, Reliance and Trust in Human-Agent Collaboration @article{Daronnat2020ImpactOA, title={Impact of Agents’ Errors on Performance, Reliance and Trust in Human-Agent Collaboration}, author={Sylvain Daronnat and Leif Azzopardi and Martin Halvey}, journal={Proceedings of the Human Factors and Ergonomics defined collaboration as a process in which two or more agents work together to achieve shared goals [Ter95]. 3 Challenges for human-agent collaboration. In the thesis, we derive time-series human-agent mutual trust models based on results from human factors engineering. 0 or smart cities, are based on digital technologies that collect large amounts of data and artificial intelligence applications—or agents—to analyze this data and optimize various operational aspects of the environment. 6 ± 0. May 6, 2017 · Collaboration involves mutual goal understanding, preemptive task co-management and shared progress tracking. In this paper, we study the HAC problem in complex MOBA games (Silva & Chaimowicz, 2017), which is Jul 25, 2015 · Corpus ID: 7432413; A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments @inproceedings{Ramchurn2015ASO, title={A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments}, author={Sarvapali D. We have two starting points for this panel. As indicated in Sect. This model is trained using a two-stage approach: first, we pretrain a transformer [30] to learn to produce the parameters of a shal-low, parameterized policy that second, is updated throughout a human-agent collaboration using online logistic regression. 5 ± 2. Feb 20, 2015 · agent collaboration, to the exception of [51, 49], no real world studies of how human emer- gency response teams actually handle agent support have been carried out. Faliszewski, V. Yen is a member of the Editorial Board of several international journals on intelligent systems. A systematic analysis framework for HACS is proposed and the abbreviation “MAGNET” is coined to name the framework by stringing together the initials of the above six terms to provide novel insights into analyzing various HAC patterns and integrates different types of HACs in a unifying way. MOBA games, e. Despite this, LLM-based based Human-Agent Collaboration method, Re-HAC. discusses three major tensions and the associated opportunities for d eveloping. Feb 21, 2020 · Safety and efficiency of human-AI collaboration often depend on how humans could appropriately calibrate their trust towards the AI agents. proposed the three level SAT framework to improve Agent Transparency and users’ Situational This paper proposes the Reinforcement Learning from Human Gain (RLHG) approach, which introduces a "baseline", which corresponds to the extent to which humans primitively achieve their goals, and encourages agents to learn behaviors that can effectively enhance humans in achieving their goals better. In fact, [51,49] Recent research on human-centered teamwork highly demands the design of cognitive agents that can model and exploit human partners' cognitive load to enhance team performance. Trust is a prerequisite for effective human-agent collaboration. Mutual trust is a key factor in human–human collaboration. 2279400 To link to this article: https May 5, 2014 · Human teamwork studies have provided cumulative knowledge about team features and performance; however, transfer of this knowledge to human-IVA teams is challenging. [Citation 3] The recent meta-analysis [Citation 4] studies the factors involved in trust for human–robot interaction (HRI), which includes robot-related, human-related and environmental-related factors. Human agent teaming provides an interaction paradigm that differs from traditional approaches such as supervisory control, or user Mar 23, 2014 · The collaboration in a human-agent teamwork poses many. Although agent-based methods offer a promising solution to the above problems, the human experience and intelligence Sep 19, 2022 · Hybrid Collaboration in Medicine: A computational agent doctor (A) and a human doctor (B) are working together towards the diagnosis of a patient's (C) health problem. Human Digital Twin—Enabling Human-Agents Collaboration Abstract: Smart environments, such as Industry 4. The AI Institute leads conversations on applied AI innovation across industries, using cutting-edge insights to promote human-machine collaboration in the Age of With™. In addition, we propose a Reinforcement Learning-based Human-Agent Collaboration method, ReHAC. Artificial intelligence integrates with human expertise to drive forward the concept of collaborative intelligence in customer service teams. Panelists will engage the audience through discussion of their shared and diverging visions, and through suggestions for opportunities and challenges for the future of human-agent collaboration. Furthermore, they have specified human–computer collaboration to occur when at least one agent is a human and at least one agent is a computer [Ter95]. By 'flexible', we mean the level of collaboration is selected through a negotiated and iterative human-agent collaboration (HAC) process, . , if they are part of different agencies, misunderstand the instructions, or are just tired). This includes creating adaptable frameworks, tools, and techniques that facilitate human-AI co-creation and co-execution while ensuring humans remain empowered and in an agent (e. It formulates the human-agent collabo-ration problem as a Markov Decision Process (MDP) framework, represented by the tuple (S,A,P,R,γ), where Sis the set of states, Ais the set of actions, P: S×A×Sis the state transi-tion probabilities, Rserves as the reward function, and γthe discount factor. We present challenges that, if addressed, will enable humans and robots to collaborate fluently. Inspired by this social Motivation - To investigate ways to support human-automation teams with real-world, imperfect automation where many system failures are the result of systematic failure. 3. Another term for this collaboration is mixed-initiative, Recent research on human-centered teamwork highly demands the design of cognitive agents that can model and exploit human partners' cognitive load to enhance team performance. In addition, their performances are influenced by subjective factors, potentially leading to operational errors or task failure. Research approach - An experimental approach was used to investigate how variance in agent reliability may influence human's trust and subsequent reliance on agent's decision aids. , [3] [4] hate speech detection, [5] and music generation. Learn more. 2 Trust in human–AI collaboration Dec 14, 2021 · Human operators have the trend of increasing physical and mental workloads when performing teleoperation tasks in uncertain and dynamic environments. Inspired by the systematic analysis framework presented in Part I of this dual publication, this article proposes a Abstract. First we observe that interaction is not the same as collaboration. Conference: ECCE 2008 - The Ergonomics of Cool Interaction 3 Developing SA in Human-Agent Collaboration In a collaborative environment, the development of SA is influenced by various factors such as individual goals and skills, task complexity, and system Apr 23, 2023 · This paper proposes to enable humans and agents to collaborate through explicit communication by designing an efficient and interpretable Meta-Command Communication-based framework, dubbed MCC, for accomplishing effective human-agent collaboration in MOBA games. In this paper, we focus on teams composed of human–agent pairs and develop a system called Shared Mental Models for all—SMMall. While past work has studied how trust relates to an agent's reliability, it has been mainly carried out in turn based scenarios, rather than during real-time ones May 5, 2019 · Increasing agent transparency is an ongoing challenge for Human-Agent Collaboration (HAC). Nov 10, 2020 · The results emphasise the complexity of user trust in Human-Agent collaboration, highlighting the importance of considering task context in the wider perspective of trust calibration. May 31, 2018 · While this constitutes an essential first step in the achievement of human/agent collaboration, it constitutes only one of the requirements identified in Sect. January 2008. SMMall implements a hidden Markov model (HMM)-based cognitive load model for an agent to Dec 5, 2023 · Challenges for Human–Agent Interaction in Virtual Collaboration at Work, International Journal of Human–Computer Interaction, DOI: 10. 1007/978-3-030-90963-5_33 Corpus ID: 244004169; A Situation Awareness Perspective on Human-Agent Collaboration: Tensions and Opportunities @inproceedings{Jiang2021ASA, title={A Situation Awareness Perspective on Human-Agent Collaboration: Tensions and Opportunities}, author={Jinglu Jiang and Alexander John Karran and Constantinos K. Meshing humans’ decision making process with agents’ decision making process promises better human-agent collaboration. To improve our understanding of human-agent team dynamics, we conducted a systematic literature review. We consider a setting where a team of humans oversee the Feb 20, 2024 · We construct a human-agent collaboration dataset to train this policy model in an offline reinforcement learning environment. Teamwork is enhanced by integrating AI teamwork, where This work modelled the human-agent trust relationship and demonstrated that it is possible to reliably predict users' trust ratings using real-time interaction data. AU - Yen, John. Collaboration of agents to coordinate not only on domain-specific tasks but also in the decision-making process itself. Notably, there are important limitations in using a vignette methodology, especially in the study of experiences Dec 14, 2023 · In the human-agent collaboration laboratory (hac lab), Dr. The average operation time for human–human cooperation was 19. Strategic tech-human interaction bridges the gap between technological capabilities and the nuanced demands of customer relations. SMMall implements a hidden Markov model Feb 20, 2024 · The results demonstrate that the synergistic efforts of humans and LLM-based agents significantly improve performance in complex tasks, primarily through well-planned, limited human intervention. We present three examples from the visual analytics literature as case studies and examine them in detail using our framework. N1 - Funding Information: Dr. Aug 3, 2010 · Recent research on human-centered teamwork highly demands the design of cognitive agents that can model and exploit human partners' cognitive load to enhance team performance. In other words, most game AI agents are modeled in a Jun 29, 2023 · Therefore, a critical need for supporting COHUMAIN research is work that can bridge between individual and collective-level models of cognition and interaction. 38 goals. 2, the key requirement in terms of providing effective human/agent collaboration is requirement 2 – suspension and resumption of goal execution. 2020. Expand. The artificial intelligence system may be a robotic system, a decision support system, or a virtual agent. Existing game AI research mainly focuses on enhancing agents' abilities to win games, but this Dec 1, 2023 · The research gap is the development of a comprehensive methodology that enables effective human-AI collaboration, incorporating diverse innovative agents in plant-level processes. Feb 20, 2015 · 2. Jun 11, 2021 · Agent participation and individual relations in a formalised team context are likely to retain the interest of future research in human–machine collaborative manufacturing applications, due to their potential of addressing performance and fairness guarantees, and giving a comprehensive organisation-level guidance for human–robot collaboration. ), May 9–13, Jun 12, 2020 · COGMENT, to handle the collaboration between human and multiple RL-based agents in dif ferent environments. DBLP. To increase the viability and effectiveness of human–agent collaborative teams, there is a pressing need for research enabling such teams to maximally leverage relative strengths of human and This panel will bring together HCI experts who work on collaboration, virtual agent design and human-robot-interaction to ask: Can this potential for trusted collaboration be realized? Human-Agent Interaction has been much studied and discussed in the last two decades. Chatbots don’t have this limitation and can take care of several concurrent chats at a time. In a broad sense, the HAC system (HACS) can be Jun 12, 2020 · This work addresses the problem of cooperative multi-agent reinforcement learning with a single joint reward signal by training individual agents with a novel value decomposition network architecture, which learns to decompose the team value function into agent-wise value functions. In Proceedings of the 8th International Conference on Human-Agent Interaction Dec 12, 2022 · of human-agent compatibility theory and human-ag ent collaboration theory, improv e the performance of intelligent organizations and promote t he intelligentization progress of HACDM. Section 6 analyses the results and presents novel de-sign guidelines for human-agent collaboration. The remainder of the paper is organized as follows: Section 2 presents an overview of However, human-agent teams pose significant challenges as team dynamics are complex arising from the task and social aspects of human-agent interactions. It, however, requires humans and agents to maintain a shared understanding of the decision May 27, 2021 · As such, explanations are intrinsically part of the human-agent collaboration and should be included in the design for such collaborations. In recent developments within the research community, the integration of Large Language Models (LLMs) in creating fully autonomous agents has garnered significant interest. Mutual trust is a key factor in human-human collaboration. human team members and virtual agents can rely on to share. acm. In this paper, we focus on teams composed of human-agent pairs and develop a system called Shared Mental Models for all - SMMall. To avoid both over- Feb 14, 2024 · The rapid development in the field of Large Language Models (LLMs) has led to a surge in applications that facilitate collaboration among multiple agents to assist humans in their daily tasks. [1] AI systems can aid humans in everything from decision making tasks to art creation. To improve our understanding of human–agent team dynamics, in this article, we conduct a systematic literature review. However, before we use those algorithms to build agent-based planning support systems, there is a need to understand how humans and agents can effectively collaborate. Mar 18, 2020 · The human-agent collaboration (HAC) is a prospective research topic whose great applications and future scenarios have attracted vast attention. A likely application domain appear to be in the factories-of-the future where human-agent collaboration around a task will be in the center of attention. However, human and robot collaboration is challenging, and creating algorithmic advances to support teaming Second, that much of the on-going discourse around human-agent interaction implies that agents can be trusted, collaborative partners. Many multi-agent coordination algorithms have the potential to be applied to support task assignment of responder teams. However, human–agent teams pose significant challenges, as team dynamics are complex arising from the task and social aspects of human–agent interactions. AU - Fan, Xiaocong. Recent Findings Humans and robots have unique advantages best leveraged in Human-Robot Teams. In a broad sense, the HAC system (HACS) can be broken down into six elements: “Man,” “Agents,” “Goal,” “Network,” “Environment,” and “Tasks. T1 - Modeling cognitive loads for evolving shared mental models in human-agent collaboration. We propose that for the intelligent agents to be utilized optimally within the organization, a contextual perspective is needed to capture various factors related to the user, task, technology, and environment, which can inform the value proposition of human-agent collaboration in the organization. Keywords: Humanmachine May 4, 2021 · The design of agents that will act in accordance with human intentions, preferences and values — known as AI alignment 7 — is a crucial part of cooperative AI. Such work is essential for enabling progress on developing sociocognitive architectures and guiding the design of AI agents. The human–agent collaboration (HAC) is a prospective research topic whose great applications and Recent research on human-centered teamwork highly demands the design of cognitive agents that can model and exploit human partners' cognitive load to enhance team performance. However, before we use those algorithms to build agent- Apr 18, 2024 · The potential of automatic task-solving through Large Language Model (LLM)-based multi-agent collaboration has recently garnered widespread attention from both the research community and industry. Drawing on Mathieu This panel will bring together HCI experts who work on collaboration, virtual agent design and human-robotinteraction. , Dota2 and Honor of Kings, have been actively used as the testbed for the recent AI research on games, and various Human-Agent Collaboration FRs are coordinated from a headquarters (HQ) HQ is headed by a human coordinator H H is assisted by an agent-based planning agent PA PA receive input from, and direct FRs PA handles planning, task rejections and re-planning PA gives instructions directly to FRs H has the overriding power at any point Mar 14, 2024 · Key Takeaways. Given the history of customer service, you might think the focus here is once again on cutting jobs and saving money. Inspired by this social interaction, we analyze human-agent mutual trust in the collaboration of one human and (semi)autonomous multi-agent systems. Jan 10, 2024 · Improving agent capabilities and increasing availability of computing platforms and internet connectivity allows more effective and diverse collaboration between human users and automated agents. Although many studies focused on the importance of system transparency in keeping proper trust calibration, the research in detecting and mitigating improper trust calibration Human Agent Collaboration (HAC) Human agent collaboration is the effort carried out by human experts and software agents in pursuing mutual 1 This material is based upon work supported by DARPA SBIR program under contract # W31P4Q-07-C-0090. Apr 1, 2023 · In another study looking at human-agent collaboration between clinicians and machine learning recommender systems in medical treatment selection, participants were shown hypothetical patient scenario vignettes (Jacobs et al. The results demonstrate that the synergistic efforts of humans and LLM-based agents significantly improve performance in complex tasks, primarily through well Their research, involving 1,500 firms in a range of industries, shows that the biggest performance improvements come when humans and smart machines work together, enhancing each other’s Dec 14, 2021 · However, the advantages of human–agent cooperation in both metrics were still obvious compared with the human–human cooperation (Figure 10 c,d). 005). g. To test The human–agent collaboration (HAC) is a prospective research topic, whose great applications and future scenarios have attracted vast attention. The field of eXplainable Artificial Intelligence (XAI) focuses on evaluating and developing explanations that support human-agent collaboration (Gong and Zhang, 2018; Barredo Arrieta et al. In this paper, we employ an experience-based cognitive agent architecture (called R-CAST) to address the informational challenges associated with military command and control (C 2) decision-making Sep 12, 2022 · The primary contribution of this work is an artificial trust-based task allocation method for heterogeneous human–robot teams that (i) learns agent capabilities and develops trust in an agent Nov 22, 2022 · The Deloitte AI Institute helps organizations connect all the different dimensions of the robust, highly dynamic and rapidly evolving AI ecosystem. E. Jan 16, 2008 · Research approach - An experimental approach was used to investigate how variance in agent reliability may influence human's trust and subsequent reliance on agent's decision aids. Sep 1, 2016 · Request PDF | Intelligent Agent Transparency: The Design and Evaluation of an Interface to Facilitate Human and Intelligent Agent Collaboration | We evaluated the usability and utility of an Human-AI collaboration is the study of how humans and artificial intelligence (AI) agents work together to accomplish a shared goal. 1473028. 3 Challenges for human-agent collaboration Many multi-agent coordination algorithms have the potential to be applied to support task assignment of responder teams. org Feb 20, 2024 · In this paper, we propose the problem of large language model-based human-agent collaboration, delving into the synergy of human intuition and expertise with the computational prowess of LLM-based agents, particularly emphasizing their application in intricate decision-making tasks. Jan 28, 2024 · Existing game AI research mainly focuses on enhancing agents' abilities to win games, but this does not inherently make humans have a better experience when collaborating with these agents. Without the ability to adapt to new situations, an intelligent system is left to rely on a previously written set of rules, making collaboration difficult, since the AI System (AIS) cannot keep up with the human operator who can adapt to new situations. 2. In this work, we examine the impact of competitive and collaborative teaching styles on agent learning and human perception. Oct 5, 2020 · which undermines the human-agent collaboration as a whole. The human-agent collaboration (HAC) is a prospective research topic, whose great applications and future scenarios have attracted vast attention. Nov 12, 2022 · With burgeoning interest in the industry and among citizens about the potential of human-AI partnerships [ 10 ], academic researchers have been pushing the frontier of new modalities of peer-level and ad-hoc human-agent collaboration [ 5, 11 ]. In general, it is assumed that agents ’ p erformance is one of the most imp ortant f actors that will contribute to an individual's leaving Human-Agent Collaboration (HAC) in complex environments still to be investigated. Our position is that while virtual and embodied agents have the potential to be work partners, for this goal to be achieved we need to better understand what partnership in collaboration involves. 1–18. [2] Examples of collaboration include medical decision making aids. Our position is that while virtual and embodied agents have the potential to be work partners, for Jun 12, 2020 · Human and Multi-Agent collaboration in a human-MARL teaming framework. 8 s, while the human and agent spent about 8. This study proposes a new open-source MARL framework, called COGMENT, to efficiently leverage human and agent to train interactive agents for human-agent collaboration [13, 52, 82, 83]. Fischer and Yuki Ikuno and Feng Wu and Jack Flann and Antony Waldock}, booktitle={International Joint There is a high probability, however, that the current developments in sensor technologies will enable a much wider range of scenarios in the near future. A human-agent team is a system composed of multiple interacting humans and artificial intelligence systems. But it is only a part, because Sep 27, 2017 · Collaboration involves mutual goal understanding, preemptive task co-management and shared progress tracking. Coursaris and Pierre-Majorique L{\'e}ger and Joerg Collaborative virtual agents help human operators to perform tasks in real-time. Mar 18, 2020 · Abstract: The human–agent collaboration (HAC) is a prospective research topic whose great applications and future scenarios have attracted vast attention. Moreover, agent performance has been the main focal point while neglecting the perspective of the human teacher, who is crucial to the instructional process. Sixty command and control (C2) teams, each consisting of a human operator and two cognitive agents, were asked to detect and respond to battlefield threats in six Jul 14, 2020 · DOI: 10. Impact of agent reliability and predictability on trust in real time human-agent collaboration. Drawing on Mathieu et al. Multicontext team decision making under time stress is an extremely challenging issue faced by various real-world application domains. For example, agents may dominate the collaboration and exhibit unintended or detrimental behaviors, leading to poor experiences for their human partners. Novelly, this paper investigates the impact of multiple communication channels on the development and maintenance of a Shared Mental Model (SMM) between humans and IVAs. Inspired by the systematic analysis framework presented in Part I of this dual publication, this article proposes a normalized two-phase procedure, namely, GET-MAN, for Jun 19, 2015 · Human-to-agent trust is a significant factor to guarantee successful human–agent collaboration (HAC). In this paper, we focus on teams composed of human-agent pairs and develop a system called Shared Mental Models for all--SMMall. But it’s not. , 2021). What’s more interesting is that with AI-Human collaboration, human agents can handle at least eight to ten conversations between chatbots and customers. [6] Jun 27, 2023 · In this work, we propose an agent-based conceptual model for the visual analytic process by drawing parallels from the artificial intelligence literature. This highlights the pressing need for methods to verify A human agent is only able to handle 4-5 simultaneous chats single-handedly. Source. Google Scholar Digital Library; Sylvain Daronnat, Leif Azzopardi, Martin Halvey, and Mateusz Dubiel. important challenges. ue ya yz kc hx jp nh xs bw ow