most citedNeuroadaptive Haptics: Comparing Reinforcement Learning from Explicit Ratings and Neural Signals for Adaptive XR Systems

9 citations · 9 across the 1 of their papers we have counts for

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cs.HC2025★ 9 cited

Neuroadaptive Haptics: Comparing Reinforcement Learning from Explicit Ratings and Neural Signals for Adaptive XR Systems

Lukas Gehrke, Aleksandrs Koselevs, Marius Klug +1

Neuroadaptive haptics offers a path to more immersive extended reality (XR) experiences by dynamically tuning multisensory feedback to user preferences. We present a neuroadaptive…