Computer-aided design tools for superminds: Understanding user needs and evaluating design options

The rise of machine learning and progress on the path towards advanced artificial intelligence requires us to think about the future of work, design and how both will be conducted when humans and machines work together. The supermind design methodology was developed to aid the formation of groups of...

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Bibliographic Details
Main Author: Liew, Katherine Mei Fong
Other Authors: Malone, Thomas W.
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/140374
https://orcid.org/0000-0003-2747-9755
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author Liew, Katherine Mei Fong
author2 Malone, Thomas W.
author_facet Malone, Thomas W.
Liew, Katherine Mei Fong
author_sort Liew, Katherine Mei Fong
collection MIT
description The rise of machine learning and progress on the path towards advanced artificial intelligence requires us to think about the future of work, design and how both will be conducted when humans and machines work together. The supermind design methodology was developed to aid the formation of groups of humans and machines to solve problems together. This thesis addresses the future of collective human-computer problem solving at two levels. The first is to identify the best initial user segment and user needs for “computer-aided design tools” to help users apply the supermind design methodology. The second is to design the feature set, user interface and ongoing user analytics for a software tool powered by the GPT-3 deep learning model that can support practitioners of the supermind design methodology.
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spelling mit-1721.1/1403742022-02-16T03:38:22Z Computer-aided design tools for superminds: Understanding user needs and evaluating design options Liew, Katherine Mei Fong Malone, Thomas W. System Design and Management Program. The rise of machine learning and progress on the path towards advanced artificial intelligence requires us to think about the future of work, design and how both will be conducted when humans and machines work together. The supermind design methodology was developed to aid the formation of groups of humans and machines to solve problems together. This thesis addresses the future of collective human-computer problem solving at two levels. The first is to identify the best initial user segment and user needs for “computer-aided design tools” to help users apply the supermind design methodology. The second is to design the feature set, user interface and ongoing user analytics for a software tool powered by the GPT-3 deep learning model that can support practitioners of the supermind design methodology. S.M. 2022-02-15T17:02:56Z 2022-02-15T17:02:56Z 2021-06 2021-06-25T20:20:24.718Z Thesis https://hdl.handle.net/1721.1/140374 https://orcid.org/0000-0003-2747-9755 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Liew, Katherine Mei Fong
Computer-aided design tools for superminds: Understanding user needs and evaluating design options
title Computer-aided design tools for superminds: Understanding user needs and evaluating design options
title_full Computer-aided design tools for superminds: Understanding user needs and evaluating design options
title_fullStr Computer-aided design tools for superminds: Understanding user needs and evaluating design options
title_full_unstemmed Computer-aided design tools for superminds: Understanding user needs and evaluating design options
title_short Computer-aided design tools for superminds: Understanding user needs and evaluating design options
title_sort computer aided design tools for superminds understanding user needs and evaluating design options
url https://hdl.handle.net/1721.1/140374
https://orcid.org/0000-0003-2747-9755
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