Proc. ACM Human-Computer Interaction (ISS 2022) | December 2022, Vol 6 Project PSST: Enabling Blind or Visually Impaired Developers to Author Sonifications of Streaming Sensor Data Venkatesh Potluri, John Thompson, James Devine, Bongshin Lee, Nora Morsi, Peli de Halleux, Steve Hodges, Jenni...
Varatharajoo, Spheres interact-human-machine interaction aboard the international space station, Journal of Field Robotics, 29(4), 2012, 554-575E. Stoll, S. Jaekel, J. Katz, A. Saenz-Otero, and R. Varatharajoo, SPHERES interact-Human-machine interaction aboard the International Space Station...
Child co-designers were in 6th-8th grade (n = 6), with a mean age of 12.6 years (SD = 1.8), while adult co-designers (n = 6) had a mean age of 43.3 years (SD = 8.08). The results are guided by the psychological needs satisfaction mini theory from self-determ...
Human Computer Interaction HF: Human Factors ML: Machine Learning References Bonczek RH, Holsapple CW, Whinston AB. Foundations of decision support systems. Academic; 2014. Lee JD, Wickens CD, Liu Y, Boyle LN. Designing for people: an introduction to human factors engineering. CreateSpace; ...
2. Ensure safe human–machine interaction and collaborative learning 3. Positive character traits are to be ensured. 4. Overloading of information to be avoided 5. Build an encouraging and curious learning environment 6. Ergonomics features to be considered 7. Ensure the system promotes the roles...
So, too, HMT is about much more than just partnering a person with the right machine. It’s about the components in and on that machine and how humans interact with them. Anentirely new R&D disciplinehas arisen around the concept of systemic human-robot interaction (HRI). Its focus areas...
a robot may be responsible for the heavy lifting and a human may be responsible for the fine work. The differences between these actors impose challenges in the collaboration due to the dynamics of their interaction that can even lead to the human’s physical and cognitive fatigue1. For exampl...
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition; 2023. p. 3725–3731. Adadi A, Berrada M. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE Access. 2018;6:52138–60. Article Google Scholar Minh D, Wang HX, ...
Despite the recent advancements that Autonomous Vehicles have shown in their potential to improve safety and operation, considering differences between Autonomous Vehicles and Human-Driven Vehicles in accidents remain unidentified due to the scarcity of
Distribution of different effects of human-wildlife interactions by short- and long-term outcomes. (Question 4. What outcomes of the human-wildlife interaction with the wildlife species mentioned before [in Question 3a] were typical in the context of your studied peri-urban landscape? ) ...