AI
Conversational AI is fast becoming a starting point for questions, plans and everyday decisions. A new paper argues that these systems should be built for how people actually think, not for an ideal user who never gets tired, rushed or distracted. The goal is simple: better decisions, fewer avoidable mistakes.
AI
Why chatbots forget—and how ES‑Mem fixes it Long chats often make assistants lose the thread. ES‑Mem, a new memory system, keeps conversations coherent by organizing them like humans do. * Breaks talks into “events.” Instead of saving every line, ES‑Mem detects natural boundaries—topics, goals, shifts—so
EEG
What if your AI could sense when a chat feels hard—or when you silently agree? This pilot study tests whether EEG signals can reveal mental workload and implicit agreement during spoken conversation with a conversational AI. Researchers reused established EEG classifiers in two voice-based tasks: a Spelling Bee and
AI
Texting with AI can feel off—messages arrive in odd bursts with no real “thinking” pauses. Stephanie2 changes that. * Decides to send or wait: At every step, it chooses to message now or hold, like a human pausing to think. * Natural timing: It models delay as thinking time + typing time,
AI
Teaching chatbots to stop contradicting themselves Ever had a bot say one thing, then the opposite a few turns later? This study introduces DECODE—a new task and dataset for spotting contradictions in everyday conversations, drawn from both human-human and human-bot chats. * New data beats existing natural language inference (NLI)