More Like this

1. Information Retrieval and Interaction System (IRIS): A Toolkit for Investigating Information Retrieval and Interaction Activities

   https://doi.org/10.1145/3176349.3176895  

   Pulliza, Jonathan; Shah, Chirag (January 2018, ACM Conference on Human Information Interaction and Retrieval (CHIIR))

   In this demo we present IRIS, an open-source framework that provides a set of simple and modular document operators that can be combined in various ways to create more interesting and advanced functionality otherwise unavailable during most information search sessions. Those functionalities include summarization, ranking, filtering and query. The goal is to support users looking for, collecting, and synthesizing information. The system is also easily extendable, allowing for customized functionality for users during information sessions and researchers studying higher levels of abstraction for information retrieval. The demo shows the front end interactions using a browser plug-in that offers new interactions with documents during search sessions, as well as the back-end components driving the system. 

   more » « less
2. Supporting Human–Robot Interaction in Manufacturing with Augmented Reality and Effective Human–Computer Interaction: A Review and Framework

   https://doi.org/10.3390/machines12100706  

   Subramanian, Karthik; Thomas, Liya; Sahin, Melis; Sahin, Ferat (October 2024, Machines)

   The integration of Augmented Reality (AR) into Human–Robot Interaction (HRI) represents a significant advancement in collaborative technologies. This paper provides a comprehensive review of AR applications within HRI with a focus on manufacturing, emphasizing their role in enhancing collaboration, trust, and safety. By aggregating findings from numerous studies, this research highlights key challenges, including the need for improved Situational Awareness, enhanced safety, and more effective communication between humans and robots. A framework developed from the literature is presented, detailing the critical elements of AR necessary for advancing HRI. The framework outlines effective methods for continuously evaluating AR systems for HRI. The framework is supported with the help of two case studies and another ongoing research endeavor presented in this paper. This structured approach focuses on enhancing collaboration and safety, with a strong emphasis on integrating best practices from Human–Computer Interaction (HCI) centered around user experience and design. 

   more » « less
3. On the interaction of metric trapping and a boundary

   https://doi.org/10.1090/proc/15460  

   Datchev, Kiril; Metcalfe, Jason; Shapiro, Jacob; Tohaneanu, Mihai (September 2021, Proceedings of the American Mathematical Society)

   null (Ed.)
4. Learning and Comfort in Human–Robot Interaction: A Review

   https://doi.org/10.3390/app9235152  

   Wang, Weitian; Chen, Yi; Li, Rui; Jia, Yunyi (December 2019, Applied Sciences)

   Collaborative robots provide prospective and great solutions to human–robot cooperative tasks. In this paper, we present a comprehensive review for two significant topics in human–robot interaction: robots learning from demonstrations and human comfort. The collaboration quality between the human and the robot has been improved largely by taking advantage of robots learning from demonstrations. Human teaching and robot learning approaches with their corresponding applications are investigated in this review. We also discuss several important issues that need to be paid attention to and addressed in the human–robot teaching–learning process. After that, the factors that may affect human comfort in human–robot interaction are described and discussed. Moreover, the measures utilized to improve human acceptance of robots and human comfort in human–robot interaction are also presented and discussed. 

   more » « less
5. Emotion and Interaction Processes in a Collaborative Online Network

   Deepak, Rishi; Hoey, Jesse; Nagappan, Mei; Rogers, Kimberly B.; Schroeder, Tobias (July 2018, International Conference on Computational Social Science)