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We report findings from a survey and one-week diary study, which reveal that people want to remember to perform a broad spectrum of activities in the future, many of which cannot be supported by simple time- and location-based reminders. In addition to these examples of prospective memory, or \u2018remembering intentions\u2019 [53], we also find that people want support in \u2018retrieving\u2019 [53] information and details, especially those encountered through social interactions or intended for use in conversations with others. Drawing on our analysis of what people want to remember and how they try to support this, we draw implications for the design of intelligent reminder systems such as digital assistants (e.g. Microsoft\u2019s Cortana) and smart speaker systems (e.g. Amazon Echo), and highlight the possibilities afforded by drawing on conversation and giving material form to digital reminders.<\/jats:p>","DOI":"10.1145\/3130903","type":"journal-article","created":{"date-parts":[[2017,9,11]],"date-time":"2017-09-11T12:12:26Z","timestamp":1505131946000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":27,"title":["How to Remember What to Remember"],"prefix":"10.1145","volume":"1","author":[{"given":"R. N.","family":"Brewer","sequence":"first","affiliation":[{"name":"Northwestern University"}]},{"given":"M. R.","family":"Morris","sequence":"additional","affiliation":[{"name":"Microsoft Research"}]},{"given":"S. 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