Designing Efficient Human Algorithm Collaboration
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Designing Efficient Human Algorithm Collaboration
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Author : Cedric Lehmann
language : en
Publisher:
Release Date : 2023
Designing Efficient Human Algorithm Collaboration written by Cedric Lehmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Human Machine Learning
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Author : Corinne Schillizzi
language : en
Publisher: Corinne Schillizzi
Release Date : 2023-10-22
Human Machine Learning written by Corinne Schillizzi and has been published by Corinne Schillizzi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-22 with Technology & Engineering categories.
...This book explores AI ethics, surveys system thinking, and offers actionable tactics for aligning with engineering and product teams in the tech realm. Its engaging narrative provides a roadmap for iterative "designing in loops" product development in today’s AI-driven industry. — John Maeda, Author of How To Speak Machine Forget to design a solution once and for all - with Machine Learning, it simply doesn’t work! Since learning is inherently dynamic, designers must harness feedback loops to create solutions that adapt to changing environments and data. Discover how to work backward from humans, partner with ML field experts, build effective feedback loop mechanisms and design data-aware interactions. With Machine Learning, designers are crucial in keeping humans and society at the center. The book guides the reader in understanding the challenges and peculiarities of designing these systems. It provides methods and tools to apply a human-centered approach to problem-framing and solving. 'Human-Machine learning’ is a design paradigm that enables humans and machines to learn and adapt. Shifting our perspective from a growth to an adaptive mindset, the book presents the Human-Machine Learning paradigm as a way to tackle complex problems and drive positive change systemically. Six things you will find in this book: 1. The role of feedback in shaping human and machine learning 2. The role of designers in working backward from human needs in ML projects 3. How to design with and for data 4. How to design feedback loops at three levels of interactions: individual, organizational, and societal 5. A systemic perspective on designing with ML with a humanity-centered approach 6. How to design for Human-Machine Continual Learning
Designing Robot Behavior In Human Robot Interactions
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Author : Changliu Liu
language : en
Publisher: CRC Press
Release Date : 2019-09-12
Designing Robot Behavior In Human Robot Interactions written by Changliu Liu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-12 with Computers categories.
In this book, we have set up a unified analytical framework for various human-robot systems, which involve peer-peer interactions (either space-sharing or time-sharing) or hierarchical interactions. A methodology in designing the robot behavior through control, planning, decision and learning is proposed. In particular, the following topics are discussed in-depth: safety during human-robot interactions, efficiency in real-time robot motion planning, imitation of human behaviors from demonstration, dexterity of robots to adapt to different environments and tasks, cooperation among robots and humans with conflict resolution. These methods are applied in various scenarios, such as human-robot collaborative assembly, robot skill learning from human demonstration, interaction between autonomous and human-driven vehicles, etc. Key Features: Proposes a unified framework to model and analyze human-robot interactions under different modes of interactions. Systematically discusses the control, decision and learning algorithms to enable robots to interact safely with humans in a variety of applications. Presents numerous experimental studies with both industrial collaborative robot arms and autonomous vehicles.
Designing Human Centric Ai Experiences
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Author : Akshay Kore
language : en
Publisher: Apress
Release Date : 2022-08-13
Designing Human Centric Ai Experiences written by Akshay Kore and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-13 with Computers categories.
User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX design’s role in making technologies inclusive and enabling user collaboration with AI. AI/ML-based systems have changed the way of traditional UX design. Instead of programming a method to do a specific action, creators of these systems provide data and nurture them to curate outcomes based on inputs. These systems are dynamic and while AI systems change over time, their user experience, in many cases, does not adapt to this dynamic nature. Applied UX Design for Artificial Intelligence will explore this problem, addressing the challenges and opportunities in UX design for AI/ML systems, look at best practices for designers, managers, and product creators and showcase how individuals from a non-technical background can collaborate effectively with AI and Machine learning teams. You Will Learn: Best practices in UX design when building human-centric AI products or features Ability to spot opportunities for applying AI in their organizations Advantages and limitations of AI when building software products Ability to collaborate and communicate effectively with AI/ML tech teams • UX design for different modalities (voice, speech, text, etc.) Designing ethical AI system
Intelligent Information Processing Xi
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Author : Zhongzhi Shi
language : en
Publisher: Springer Nature
Release Date : 2022-05-23
Intelligent Information Processing Xi written by Zhongzhi Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-23 with Computers categories.
This book constitutes the refereed proceedings of the 12th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2022, held in Qingdao, China, in July 2022. The 37 full papers and 6 short papers presented were carefully reviewed and selected from 57 submissions. They are organized in topical sections on Machine Learning, Data Mining, Multiagent Systems, Social Computing, Blockchain Technology, Game Theory and Emotion, Pattern Recognition, Image Processing and Applications.
Design Computing And Cognition 18
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Author : John S. Gero
language : en
Publisher: Springer
Release Date : 2019-01-07
Design Computing And Cognition 18 written by John S. Gero and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-07 with Technology & Engineering categories.
This is the proceedings of the Eighth International Conference on Design Computing and Cognition (DCC’18) held at the Polytecnico di Milano in Italy. This volume presents both advances in theory and applications and demonstrates the depth and breadth of design computing and design cognition. Design thinking, the label given to the acts of designing, has become a paradigmatic view that has transcended the discipline of design and is now widely used in business and elsewhere. As a consequence there is an increasing interest in design research. This volume contains papers that represent the state-of-the-art research and developments in design computing and design cognition. This book is of particular interest to researchers, developers and users of advanced computation in design and those who need to gain a better understanding of designing that can be obtained through empirical studies.
Handbook Of Engineering Systems Design
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Author : Anja Maier
language : en
Publisher: Springer Nature
Release Date : 2022-07-30
Handbook Of Engineering Systems Design written by Anja Maier and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-30 with Technology & Engineering categories.
This handbook charts the new engineering paradigm of engineering systems. It brings together contributions from leading thinkers in the field and discusses the design, management and enabling policy of engineering systems. It contains explorations of core themes including technical and (socio-) organisational complexity, human behaviour and uncertainty. The text includes chapters on the education of future engineers, the way in which interventions can be designed, and presents a look to the future. This book follows the emergence of engineering systems, a new engineering paradigm that will help solve truly global challenges. This global approach is characterised by complex sociotechnical systems that are now co-dependent and highly integrated both functionally and technically as well as by a realisation that we all share the same: climate, natural resources, a highly integrated economical system and a responsibility for global sustainability goals. The new paradigm and approach requires the (re)designing of engineering systems that take into account the shifting dynamics of human behaviour, the influence of global stakeholders, and the need for system integration. The text is a reference point for scholars, engineers and policy leaders who are interested in broadening their current perspective on engineering systems design and in devising interventions to help shape societal futures.
Optimizing For Task Performance And Fairness In Human Robot Teams
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Author : Mai Lee Chang
language : en
Publisher:
Release Date : 2022
Optimizing For Task Performance And Fairness In Human Robot Teams written by Mai Lee Chang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Robots are already entering our homes and workplaces, and they are increasingly put in the role of a teammate working with teams of humans. Designing effective robotic teammates is challenging because teamwork is a multi-faceted concept. The ability to quickly assimilate into human teams will help robots to foster strong collaborations. Prior approaches in human-robot teamwork have mostly focused on optimizing for the team's task performance such as task allocation algorithms that minimize the overall task completion time. However, another critical dimension of teamwork that can impact task performance is fairness since it is a hallmark of cooperative relationships. A robot who treats team members fairly may have to make a trade-off with task performance. In recent years, human-robot interaction (HRI) researchers have started to explore the concept of fairness in human-robot teaming. A challenge in the human-robot teaming domain is understanding the relationship between task performance and fairness. The adjacent field of fairness in machine learning (ML) shows that there is typically a trade-off with accuracy and fairness. It is unclear if this trade-off in ML translates to human-robot teamwork since fairness is context sensitive. Motivated by this challenge, this dissertation shows that robots can optimize task performance through intent communication and can maintain this while treating human teammates fairly to achieve satisfactory human-robot partnerships. In my approach, I define task performance and fairness as team-level components. My exploration of human-robot teamwork is inspired by the concept of Shared Cooperative Activity (SCA) by Bratman. For an activity to be considered teamwork, Bratman defines three facets that must all be present: mutual responsiveness, commitment to the joint activity, and commitment to mutual support. My approach can be categorized into three main stages. In the first stage, I use SCA to guide my exploration of human-robot teamwork with a focus on optimizing for the team's task performance. From this work, I learn that fairness is an important factor. However, the human-robot teaming field lacks proper metrics and understanding of fairness. In the second stage, I seek to understand factors that influence people's perception of fairness and develop fairness metrics. In the last stage, I use the insights gained from investigating task performance and fairness to design an algorithm that optimizes for task performance and fairness. My contributions include algorithms, fairness metrics, and empirical findings. To optimize for task performance in single robot - single human teams in which the robot's role is a peer, I implement a bi-directional intent system that enables robots to recognize the human teammate's intent and also communicate its intent resulting in improved collaboration. In addition, I develop the Teammate Algorithm for Shared Cooperation (TASC) that enables robots to consider three components of teamwork: intent, effort, and value. TASC enables participants to predict the robot's goal significantly earlier and with higher confidence as well as conserve their energy usage compared to the baseline. To develop fairness metrics, my empirical findings show that people's perceptions of fairness in single robot - single human teams where the robot is a peer are influenced by factors including capabilities, task type, and workload. Based on these insights, I create fairness metrics: equality of capability, equality of task type and equality of workload. When another human is added to the team, I consider the amount of time that the robot spends working with each human teammate and develop an additional fairness metric, equality of time. My evaluation conducted with participants validate that equality of capability and equality of time aligns with people's perception of fairness from a third-person perspective. My results reveal that there are bleed-over effects in people's assessments of fairness. Due to the context dependent nature of fairness, I also explore single robot - groups of human teams where the robot takes on the leader role. I focus on the scenario where the robot allocates tasks to two human teammates who are characterized by their capabilities and task preferences. I use an iterative design approach consisting of simulation data and human pilot data to design a robotic teammate algorithm that balances fairness and task efficiency. My pilot user study results suggest that team members who are the most capable in the team's perception of fairness does not align with the equality of capability metric. That is, they want more opportunities to work on tasks that they are the most skilled at. This leads to the creation of the fair-equity metric. This metric measures the difference between the ratio of teammates' outcomes to inputs. Outcomes are defined by task preference and inputs are defined by capabilities. I develop the Efficient & Fair-Equity algorithm that considers task efficiency and fairness in terms of capabilities and task preferences. I evaluate this algorithm against the baseline (Efficient algorithm) in a set of studies focusing on various team types in a task allocations scenario. I show that in the mixed team type, the Efficient & Fair-Equity robot is able to achieve fairness without reducing task efficiency. By treating team members fairly, the team is able to maintain their performance. My initial results of the twins team type suggest that the Efficient & Fair-Equity robot can treat teammates fairly while maintaining task efficiency. In general, participants prefer robotic teammates that display efficient and fair behavior. Overall, these contributions aim to enable robotic teammates to easily integrate within human teams to collaborate with people who have different capabilities and preferences. Considering fairness in the robot's decision-making process will help reduce potential negative impacts on the team's social dynamics. My research aims to create strong human-robot collaborations
Human In The Loop System Design And Control Adaptation For Behavior Assistant Robots
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Author : Yuquan Leng
language : en
Publisher: Frontiers Media SA
Release Date : 2024-06-03
Human In The Loop System Design And Control Adaptation For Behavior Assistant Robots written by Yuquan Leng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-03 with Science categories.
With the progress and development of human-robot systems, the coordination among humans, robots, and environments has become increasingly sophisticated. In this Research Topic, we focus on an important field in robotics and automation disciplines, which is commonly defined as behavior-assistant robots. The scope includes but is not limited to: (1) rehabilitation assistive devices, such as rigid/soft exoskeletons, prosthetic systems, orthoses, and intelligent wheelchairs; (2) intelligent medical systems, such as endoscopic robots, surgical robots, and the navigation systems; (3) industrial application devices, such as collaborative manipulators, load-bearing exoskeletons, supernumerary robotic limbs; (4) intelligent domestic devices, such as mobile robots, elderly-care robots, walking-aids robots and so on. The emergence of robot-assisted daily behaviors, based on aforementioned devices, is gradually becoming part of our social lives, which can improve weak motor abilities, enhance physical functionalities, and enable various other benefits.
Cooperative Design Visualization And Engineering
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Author : Yuhua Luo
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-07
Cooperative Design Visualization And Engineering written by Yuhua Luo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-07 with Computers categories.
The 6th InternationalConference on Cooperative Design, Visualization and - gineering CDVE 2009 was held in central Europe - Luxembourg. Participants from ?ve continents came together to celebrate this annual event. Thepaperspublishedintheconferenceinthisvolumere?ectthenewprogress in the following aspect. Research in developing cooperative applications is currently focusing on two directions. One is the cooperation in the software development process and the other is the variety of the targeted cooperative software products. Many papers address how to facilitate cooperation in the software engineering process p- ticularly global software engineering. The importance of sharing information in cooperation is emphasized by the authors. For example, papers that addressed the developmentof sharing mental models, tools for easilyshared projects,sh- ing links for cross-media information spaces, sharing resources and transfer of knowledge among team members etc. have attracted special attention. Many papers presented in this volume are the research results of tackling problems in developing a great variety of cooperative software products. The targeted systems are cooperative support for music creation, cooperative process m- agement systems, cooperative visualization systems for geographic information, cooperative cultural information sharing platforms, cooperative reasoning s- tems, cooperative sensor networks for environment monitoring, remote coop- ative video vehicle monitoring systems etc. Another aspect of the papers in this volume is dealing with the problems in ?ner phases in the cooperative product production life cycle. The topics addressed range from partner selection for - operation at the beginning, requirement gathering, requirement negotiation, to cooperativedesign, production to cooperative testing, and ?nally to cooperative system operation.