'Plant.play()', a plant-participatory game system developed by Professor Lee Chang-hee's team at KAIST. It is the recipient of the Best Paper Award at ACM CHI 2026. Photo provided by KAIST.

‘Plant.play()’, a plant-participatory game system developed by Professor Lee Chang-hee’s workforce at KAIST. It is the recipient of the Best Paper Award at ACM CHI 2026. Photo supplied by KAIST.

■ A KAIST workforce led by Professor Lee Chang-hee of the Department of Industrial Design has gained the Best Paper Award at ACM CHI 2026, probably the most prestigious convention within the Human-Computer Interaction (HCI) subject, KAIST introduced on the fifteenth. The paper proposed a brand new interplay methodology the place crops immediately take part in digital video games by incorporating their bio-signals and circadian rhythms. Users interact by observing and deciphering the plant’s state modifications somewhat than immediately controlling the game. A person examine additionally confirmed that members tended to turn out to be emotionally immersed in each the plant and the digital character. The work is acknowledged for presenting new potentialities for interplay with non-human entities, transferring past human-centered digital interactions.

■ POSTECH introduced on the fifteenth {that a} workforce led by Professor Kim Chul-hong (Depts. of Electronic and Electrical Engineering, IT Convergence Engineering, Mechanical Engineering, and the Graduate School of Convergence Science and Technology) and Professor Park Jung-woo’s workforce at Kyungpook National University have succeeded in systematizing the expertise to develop a ‘Transparent Ultrasound Transducer (TUT)’ that integrates gentle and ultrasound right into a single path. This ultrasound machine, which gentle can move by means of, permits optical and ultrasound alerts to view the identical space concurrently alongside the identical axis. They additionally launched an ordinary fabrication guide protecting your complete course of from materials choice to efficiency verification, rising analysis accessibility. The expertise is anticipated to be utilized in precision medication fields comparable to wearable healthcare, micro-endoscopy, and real-time image-guided remedy methods.

■ Daegu Gyeongbuk Institute of Science and Technology (DGIST) introduced on the fifteenth that it signed an MOU with Sambo Motors on the 14th to advertise the AI Transformation (AX) of the robotic {industry}. This collaboration goals to help Sambo Motors, an automotive components specialist, in its transformation into a complicated robotic components firm by internalizing core robotic half design expertise. A ‘DGIST-Sambo Motors AX Joint Research Lab’ will probably be established inside DGIST, working an ‘industry-academia-research one-team’ system the place company and DGIST researchers collaborate in the identical area.

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