AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
It is suggested that effective AI error recovery should maintain a professional baseline while adapting to the seriousness of the mistake, and value directness, clarity, accountability, and restraint over humor or highly human-like expression.
As AI assistants shift from answering questions to executing actions, small interaction choices can influence users’ moment-to-moment experience. We report an exploratory lab study (N=20) measuring users’ Emotional Background (EB) during three local device-maintenance tasks in a prompt-based assistant and a menu-based...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.