Category:Ed Chi

**Ed H. Chi**
	computer scientist
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Name in native language	紀懷新;
Date of birth	1970s; Taiwan
Country of citizenship	United States of America;
Residence	Palo Alto; Minnesota;
Educated at	University of Minnesota (Doctor of Philosophy, computer science, 1996–1999); University of Minnesota (master's degree, computer science, 1994–1996); University of Minnesota (bachelor's degree, computer science, –1994);
Doctoral advisor	John T. Riedl;
Occupation	computer scientist;
Employer	PARC (1997–2011); Google (2011–);
Member of	GroupLens Research;
Field of work	human–computer interaction; social computing; Information foraging;
Award received	ACM Distinguished Member (2014);
Authority file
	Q5334648; ISNI: 000000003874804X; VIAF ID: 53658080; Library of Congress authority ID: n2002062490; Nationale Thesaurus voor Auteursnamen ID: 242263232; National Library of Israel J9U ID: 987007359902505171; ORCID iD: 0000-0003-3230-5338; Mathematics Genealogy Project ID: 41594
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Ed Huai-Hsin Chi (Chinese: 紀懷新; Wade–Giles: Chi⁴ Huai²-hsin¹) (born ca. 1973) is a Taiwanese American computer scientist and research scientist at Google, known for his early work in applying the theory of information scent to predict usability of websites.

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