Hci research methods help us understand who we are building ai systems for and evaluating how well those systems are working. accepted papers at iui. jonathan dodge, q. vera liao, yunfeng zhang, rachel k. bellamy, and casey dugan. the primary criterion for evaluation of all papers is the submission’ s contribution to hci. in all cases, a chi paper must break new ground and make an original model research contribution. however, it is important to recognize that there are many ways for which a paper can make a contribution to hci, and you should review the paper appropriately. research and resources developed and curated by hci that highlight the emerging trends and ideas shaping hr and talent decisions. explore hci research and resources >.
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hci research is crucial for understanding how to design human- in- the- loop ai systems.