JumpStarter: Getting Started on Personal Goals with AI-Powered Context Curation

Everyone aspires to achieve personal goals. However, getting started is often complex and daunting, especially for large projects. AI has the potential to create plans and help jumpstart progress, but it often lacks sufficient personal context to be useful. We introduce JumpStarter, a system that us...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Wang, Sitong, Zhang, Xuanming, Ma, Jenny, Hwang, Alyssa, Chilton, Lydia B
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Wang, Sitong
Zhang, Xuanming
Ma, Jenny
Hwang, Alyssa
Chilton, Lydia B
description Everyone aspires to achieve personal goals. However, getting started is often complex and daunting, especially for large projects. AI has the potential to create plans and help jumpstart progress, but it often lacks sufficient personal context to be useful. We introduce JumpStarter, a system that uses AI-powered context curation to create action plans and draft personalized working solutions. JumpStarter assists users by posing questions to elicit relevant context, breaking down goals into manageable steps, and selecting appropriate context to draft working solutions for each step. A technical evaluation indicates that context curation results in plans and working solutions of higher quality. A user study demonstrates that compared to ChatGPT, JumpStarter significantly reduces users' mental load and increases their efficiency in kickstarting personal projects. We discuss the design implications of AI-powered context curation to facilitate the use of generative AI in complex problem-solving.
doi_str_mv 10.48550/arxiv.2410.03882
format Article
fullrecord <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2410_03882</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2410_03882</sourcerecordid><originalsourceid>FETCH-arxiv_primary_2410_038823</originalsourceid><addsrcrecordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMgEKGBhbWBhxMvh7leYWBJckFpWkFlkpuKeWlGTmpStABFIU8vMUAlKLivPzEnMU3PMTc4oVyjNLMhQcPXUD8stTi4AqnPPzSlIrShScS4sSSzLz83gYWNOA6lJ5oTQ3g7yba4izhy7Y6viCoszcxKLKeJAT4sFOMCasAgCSijvl</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>JumpStarter: Getting Started on Personal Goals with AI-Powered Context Curation</title><source>arXiv.org</source><creator>Wang, Sitong ; Zhang, Xuanming ; Ma, Jenny ; Hwang, Alyssa ; Chilton, Lydia B</creator><creatorcontrib>Wang, Sitong ; Zhang, Xuanming ; Ma, Jenny ; Hwang, Alyssa ; Chilton, Lydia B</creatorcontrib><description>Everyone aspires to achieve personal goals. However, getting started is often complex and daunting, especially for large projects. AI has the potential to create plans and help jumpstart progress, but it often lacks sufficient personal context to be useful. We introduce JumpStarter, a system that uses AI-powered context curation to create action plans and draft personalized working solutions. JumpStarter assists users by posing questions to elicit relevant context, breaking down goals into manageable steps, and selecting appropriate context to draft working solutions for each step. A technical evaluation indicates that context curation results in plans and working solutions of higher quality. A user study demonstrates that compared to ChatGPT, JumpStarter significantly reduces users' mental load and increases their efficiency in kickstarting personal projects. We discuss the design implications of AI-powered context curation to facilitate the use of generative AI in complex problem-solving.</description><identifier>DOI: 10.48550/arxiv.2410.03882</identifier><language>eng</language><subject>Computer Science - Human-Computer Interaction</subject><creationdate>2024-10</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2410.03882$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2410.03882$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Sitong</creatorcontrib><creatorcontrib>Zhang, Xuanming</creatorcontrib><creatorcontrib>Ma, Jenny</creatorcontrib><creatorcontrib>Hwang, Alyssa</creatorcontrib><creatorcontrib>Chilton, Lydia B</creatorcontrib><title>JumpStarter: Getting Started on Personal Goals with AI-Powered Context Curation</title><description>Everyone aspires to achieve personal goals. However, getting started is often complex and daunting, especially for large projects. AI has the potential to create plans and help jumpstart progress, but it often lacks sufficient personal context to be useful. We introduce JumpStarter, a system that uses AI-powered context curation to create action plans and draft personalized working solutions. JumpStarter assists users by posing questions to elicit relevant context, breaking down goals into manageable steps, and selecting appropriate context to draft working solutions for each step. A technical evaluation indicates that context curation results in plans and working solutions of higher quality. A user study demonstrates that compared to ChatGPT, JumpStarter significantly reduces users' mental load and increases their efficiency in kickstarting personal projects. We discuss the design implications of AI-powered context curation to facilitate the use of generative AI in complex problem-solving.</description><subject>Computer Science - Human-Computer Interaction</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMgEKGBhbWBhxMvh7leYWBJckFpWkFlkpuKeWlGTmpStABFIU8vMUAlKLivPzEnMU3PMTc4oVyjNLMhQcPXUD8stTi4AqnPPzSlIrShScS4sSSzLz83gYWNOA6lJ5oTQ3g7yba4izhy7Y6viCoszcxKLKeJAT4sFOMCasAgCSijvl</recordid><startdate>20241004</startdate><enddate>20241004</enddate><creator>Wang, Sitong</creator><creator>Zhang, Xuanming</creator><creator>Ma, Jenny</creator><creator>Hwang, Alyssa</creator><creator>Chilton, Lydia B</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20241004</creationdate><title>JumpStarter: Getting Started on Personal Goals with AI-Powered Context Curation</title><author>Wang, Sitong ; Zhang, Xuanming ; Ma, Jenny ; Hwang, Alyssa ; Chilton, Lydia B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2410_038823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Human-Computer Interaction</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang, Sitong</creatorcontrib><creatorcontrib>Zhang, Xuanming</creatorcontrib><creatorcontrib>Ma, Jenny</creatorcontrib><creatorcontrib>Hwang, Alyssa</creatorcontrib><creatorcontrib>Chilton, Lydia B</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wang, Sitong</au><au>Zhang, Xuanming</au><au>Ma, Jenny</au><au>Hwang, Alyssa</au><au>Chilton, Lydia B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>JumpStarter: Getting Started on Personal Goals with AI-Powered Context Curation</atitle><date>2024-10-04</date><risdate>2024</risdate><abstract>Everyone aspires to achieve personal goals. However, getting started is often complex and daunting, especially for large projects. AI has the potential to create plans and help jumpstart progress, but it often lacks sufficient personal context to be useful. We introduce JumpStarter, a system that uses AI-powered context curation to create action plans and draft personalized working solutions. JumpStarter assists users by posing questions to elicit relevant context, breaking down goals into manageable steps, and selecting appropriate context to draft working solutions for each step. A technical evaluation indicates that context curation results in plans and working solutions of higher quality. A user study demonstrates that compared to ChatGPT, JumpStarter significantly reduces users' mental load and increases their efficiency in kickstarting personal projects. We discuss the design implications of AI-powered context curation to facilitate the use of generative AI in complex problem-solving.</abstract><doi>10.48550/arxiv.2410.03882</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.48550/arxiv.2410.03882
ispartof
issn
language eng
recordid cdi_arxiv_primary_2410_03882
source arXiv.org
subjects Computer Science - Human-Computer Interaction
title JumpStarter: Getting Started on Personal Goals with AI-Powered Context Curation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T12%3A55%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=JumpStarter:%20Getting%20Started%20on%20Personal%20Goals%20with%20AI-Powered%20Context%20Curation&rft.au=Wang,%20Sitong&rft.date=2024-10-04&rft_id=info:doi/10.48550/arxiv.2410.03882&rft_dat=%3Carxiv_GOX%3E2410_03882%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true