HMI Archives - mediaX at Stanford University https://mediax.stanford.edu/tag/hmi/ Industry Affiliate Program of Stanford’s H-STAR Institute Mon, 01 Nov 2021 21:55:49 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 Taxonomies and Ontologies for the Human Experience in Digital Environments https://mediax.stanford.edu/event/taxonomies-and-ontologies-for-the-human-experience-in-digital-environments/ Fri, 10 Sep 2021 17:52:45 +0000 https://mediax.stanford.edu/?post_type=mediax_event&p=13837 In this Symposium, mediaX brings together a multidisciplinary selection of scientists and researchers studying the human experience in digital environments. Through established frameworks, concept-proving projects, and practical issues, this program will explore how we might better describe the human experience in digital environments.

The post Taxonomies and Ontologies for the Human Experience in Digital Environments appeared first on mediaX at Stanford University.

]]>
mediaX 2021 Conference Presentations Are Available https://mediax.stanford.edu/news/mediax-2021-conference-presentations-are-available/ Fri, 13 Aug 2021 18:04:42 +0000 https://mediax.stanford.edu/?p=13814 Relive the three session conference as thought leaders from the Stanford and mediaX member communities come together to explore how curiosity and learning can build the relationship between humans and machines.

The post mediaX 2021 Conference Presentations Are Available appeared first on mediaX at Stanford University.

]]>
mediaX 2021 Conference Will Be Held Over 3 Days https://mediax.stanford.edu/news/mediax2021-conference/ Tue, 08 Jun 2021 20:15:49 +0000 https://mediax.stanford.edu/?p=13746 This three session conference (July 13, 14 and 15) brings together thought leaders from the Stanford and mediaX member communities to share recent insights on what similarities in curiosity and learning of humans and machines can be assumed or explored.

The post mediaX 2021 Conference Will Be Held Over 3 Days appeared first on mediaX at Stanford University.

]]>
Role Choices of Robotic Teammates https://mediax.stanford.edu/programs/role-choices-of-robotic-teammates/ Fri, 18 Sep 2020 20:20:44 +0000 https://mediax.stanford.edu/?page_id=13244 Ryota Yamada is a Chief Specialist of Technology focused on Information and Communication Technology at the Open Innovation Group, Innovation Exploring Initiative H.Q., OMRON Corporation. He joined OMRON in 2002 as a Software Engineer. From 2003 to 2006, He was a Visiting Researcher at mediaX at Stanford University, where he worked with the Late Professor […]

The post Role Choices of Robotic Teammates appeared first on mediaX at Stanford University.

]]>
Human-Robot Interaction through the Lens of Learning and Control https://mediax.stanford.edu/program/thinking-tools-for-wicked-problems/human-robot-interaction-through-the-lens-of-learning-and-control/ Mon, 15 Jun 2020 20:02:36 +0000 https://mediax.stanford.edu/?post_type=mediax_program&p=12740 Machine learning and control theory have made substantial advances in the field of robotics in the past decade. However, there are still many challenges when studying robots interacting with humans. Dorsa Sadigh discusses her insights on this issue.

The post Human-Robot Interaction through the Lens of Learning and Control appeared first on mediaX at Stanford University.

]]>
Changing Patterns of Interaction https://mediax.stanford.edu/program/insights-perspectives/changing-patterns-of-interaction/ Tue, 05 May 2020 19:01:23 +0000 https://mediax.stanford.edu/?post_type=mediax_program&p=12490 Getting computers to do our bidding has always been a bit mysterious to those of us not steeped in machine code, operating systems, and programming. mediaX Distinguished Visiting Scholar Susan Stucky explains why and how that has changed.

The post Changing Patterns of Interaction appeared first on mediaX at Stanford University.

]]>
Human-Robot Interaction through the Lens of Learning and Control https://mediax.stanford.edu/event/human-robot-interaction-through-the-lens-of-learning-and-control/ Tue, 05 May 2020 18:07:12 +0000 https://mediax.stanford.edu/?post_type=mediax_event&p=12481 Machine learning and control theory have made substantial advances in the field of robotics in the past decade. However, there are still many challenges when studying robots interacting with humans. Dorsa Sadigh continues the mediaX webinar series "Thinking Tools for Wicked Problems", and will discuss her insights on this issue.

The post Human-Robot Interaction through the Lens of Learning and Control appeared first on mediaX at Stanford University.

]]>
Haptic Tether for Human Robot Communication https://mediax.stanford.edu/research-projects/sow-okamura/ Tue, 20 Nov 2018 18:03:53 +0000 https://mediax.stanford.edu/?page_id=11375 From The Theme SMART OFFICE WORKFLOWS WHAT IF What if we could help mobile robots navigate crowded environments using haptic communication? WHAT WE SET OUT TO DO We set out to explore the use of haptic communication to improve human-mobile robot interaction, especially in crowded environments, such as offices and shopping malls. We developed and […]

The post Haptic Tether for Human Robot Communication appeared first on mediaX at Stanford University.

]]>
Making Noise Intentional: Capturing and Designing Robotic Sonic Expressions https://mediax.stanford.edu/research-projects/sow-leifer/ Tue, 20 Nov 2018 17:29:25 +0000 https://mediax.stanford.edu/?page_id=11359 From The Theme SMART OFFICE WORKFLOWS WHAT IF What if we could better understand how robotic sound influences human perceptions and interactions? WHAT WE SET OUT TO DO We set out to develop design heuristics for the sounds that are a byproduct of interactive objects in the technologically advanced workplace of the future. Specifically, we […]

The post Making Noise Intentional: Capturing and Designing Robotic Sonic Expressions appeared first on mediaX at Stanford University.

]]>
Dream Team: Computational Techniques for Adaptive Teams https://mediax.stanford.edu/research-projects/sow-bernstein/ Tue, 20 Nov 2018 17:20:07 +0000 https://mediax.stanford.edu/?page_id=11352 From The Theme SMART OFFICE WORKFLOWS WHAT IF What if we could leverage computation and machine learning to optimize team structure? WHAT WE SET OUT TO DO We set out to explore a new computationally empowered management practice for teams. We developed a system called “DreamTeam” that experiments with a set of possible team structures […]

The post Dream Team: Computational Techniques for Adaptive Teams appeared first on mediaX at Stanford University.

]]>