Hybrid Methodology: Combining Ethnography, Cognitive Science, and Machine Learning to Inform the Development of Context‐Aware Personal Computing and Assistive Technology-Reference-Cited by-同舟云学术

Hybrid Methodology: Combining Ethnography, Cognitive Science, and Machine Learning to Inform the Development of Context‐Aware Personal Computing and Assistive Technology

Published:2019-11 Issue:1 Volume:2019 Page:254-281
ISSN:1559-890X
Container-title:Ethnographic Praxis in Industry Conference Proceedings
language:en
Short-container-title:Ethnographic Praxis in Industry Conference Proceedings

Author:

CURY MARIA¹,WHITWORTH ERYN²,BARFORT SEBASTIAN¹,BOCHEREAU SÉRÉNA²,BROWDER JONATHAN²,JONKER TANYA R.²,KIM KAHYUN SOPHIE²,KRENCHEL MIKKEL¹,RAMSEY‐ELLIOT MORGAN¹,SCHÜÜR FRIEDERIKE³,ZAX DAVID¹,ZHANG JOANNA¹

Affiliation:

1. ReD Associates

2. Facebook Reality Labs

3. Cityblock Health

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1559-8918.2019.01284

Reference46 articles.

1. anderson ken DawnNafus TyeRattenbury.2009. “Numbers Have Qualities Too: Experiences with Ethno-Mining.”Ethnographic Praxis in Industry Conference Proceedings:123–140.

2. Arora Millie P. MikkelKrenchel JacobMcAuliffe andPoornimaRamaswamy.2019. “Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms.”Ethnographic Praxis in Industry Conference Proceedings:224–244.

3. Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data