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As AI-enabled software systems become more prevalent in smart manufacturing, their role shifts from a reactive to a proactive one that provides context-specific support to machine operators. In the context of an international research…

软件工程 · 计算机科学 2022-06-01 Philipp Haindl , Thomas Hoch , Javier Dominguez , Julen Aperribai , Nazim Kemal Ure , Mehmet Tunçel

This paper introduces collaborating robots which provide the possibility of enhanced task performance, high reliability and decreased. Collaborating-bots are a collection of mobile robots able to self-assemble and to self-organize in order…

神经与进化计算 · 计算机科学 2012-12-27 M. A. El-Dosuky , M. Z. Rashad , T. T. Hamza , A. H. EL-Bassiouny

The trustworthiness of AI is considered essential to the adoption and application of AI systems. However, the meaning of trust varies across industry, research and policy spaces. Studies suggest that professionals who develop and use AI…

计算机与社会 · 计算机科学 2025-08-21 Lameck Mbangula Amugongo , Nicola J Bidwell , Joseph Mwatukange

As robots find their way into more and more aspects of everyday life, questions around trust are becoming increasingly important. What does it mean to trust a robot? And how should we think about trust in relationships that involve both…

Increasing anthropomorphic robot behavioral design could affect trust and cooperation positively. However, studies have shown contradicting results and suggest a task-dependent relationship between robots that display emotions and trust.…

It is intractable for assistive robots to have all functionalities pre-programmed prior to deployment. Rather, it is more realistic for robots to perform supplemental, on-site learning about user's needs and preferences, and particularities…

机器人学 · 计算机科学 2022-10-19 Nina Moorman , Erin Hedlund-Botti , Matthew Gombolay

Collaborative human-AI (HAI) teaming combines the unique skills and capabilities of humans and machines in sustained teaming interactions leveraging the strengths of each. In tasks involving regular exposure to novelty and uncertainty,…

人机交互 · 计算机科学 2024-04-03 Melanie J. McGrath , Andreas Duenser , Justine Lacey , Cecile Paris

Artificial Intelligence (AI) is becoming the corner stone of many systems used in our daily lives such as autonomous vehicles, healthcare systems, and unmanned aircraft systems. Machine Learning is a field of AI that enables systems to…

人工智能 · 计算机科学 2022-06-27 Lionel Nganyewou Tidjon , Foutse Khomh

Research on human-robot collaboration or human-robot teaming, has focused predominantly on understanding and enabling collaboration between a single robot and a single human. Extending human-robot collaboration research beyond the dyad,…

机器人学 · 计算机科学 2018-12-27 Malte F. Jung , Dominic DiFranzo , Brett Stoll , Solace Shen , Austin Lawrence , Houston Claure

Building trust in AI-based systems is deemed critical for their adoption and appropriate use. Recent research has thus attempted to evaluate how various attributes of these systems affect user trust. However, limitations regarding the…

人机交互 · 计算机科学 2022-04-29 Michaela Benk , Suzanne Tolmeijer , Florian von Wangenheim , Andrea Ferrario

The promise of AI is huge. AI systems have already achieved good enough performance to be in our streets and in our homes. However, they can be brittle and unfair. For society to reap the benefits of AI systems, society needs to be able to…

人工智能 · 计算机科学 2020-02-18 Jeannette M. Wing

From robots that replace workers to robots that serve as helpful colleagues, the field of robotic automation is experiencing a new trend that represents a huge challenge for component manufacturers. The contribution starts from an…

Integrating robots into teams of humans is anticipated to bring significant capability improvements for tasks such as searching potentially hazardous buildings. Trust between humans and robots is recognized as a key enabler for human-robot…

Socially assistive robots have the potential to improve group dynamics when interacting with groups of people in social settings. This work contributes to the understanding of those dynamics through a user study of trust dynamics in the…

机器人学 · 计算机科学 2020-10-23 Chris Birmingham , Zijian Hu , Kartik Mahajan , Eli Reber , Maja J Mataric

Trustworthiness and trust are basic factors in common societies that allow us to interact and enjoy being in crowds without fear. As robotic devices start percolating into our daily lives they must behave as fully trustworthy objects, such…

计算机与社会 · 计算机科学 2025-04-15 Gerhard P. Fettweis , Patricia Grünberg , Tim Hentschel , Stefan Köpsell

The connected automated vehicle has been often touted as a technology that will become pervasive in society in the near future. One can view an automated vehicle as having Artificial Intelligence (AI) capabilities, being able to self-drive,…

人工智能 · 计算机科学 2019-08-28 Seng W. Loke

Collaborative human activities are grounded in social and moral norms, which humans consciously and subconsciously use to guide and constrain their decision-making and behavior, thereby strengthening their interactions and preventing…

机器人学 · 计算机科学 2016-02-12 Vasanth Sarathy , Jason R. Wilson , Thomas Arnold , Matthias Scheutz

Trust is a central component of the interaction between people and AI, in that 'incorrect' levels of trust may cause misuse, abuse or disuse of the technology. But what, precisely, is the nature of trust in AI? What are the prerequisites…

人工智能 · 计算机科学 2021-01-21 Alon Jacovi , Ana Marasović , Tim Miller , Yoav Goldberg

Chatbots have become increasingly prevalent. A growing body of research focused on the issue of human trust in AI. However, most existing user studies are conducted primarily with adult groups, overlooking teenagers who are also engaging…

人机交互 · 计算机科学 2025-12-09 Siyu Qiu , Anqi Lin , Shiya Wang , Xingyu Lan

The introduction of assistive construction robots can significantly alleviate physical demands on construction workers while enhancing both the productivity and safety of construction projects. Leveraging a Building Information Model (BIM)…

机器人学 · 计算机科学 2024-06-11 Xi Wang , Hongrui Yu , Wes McGee , Carol C. Menassa , Vineet R. Kamat