Designing the future of personal fashion

Kristen Vaccaro, Tanvi Agarwalla, Sunaya Shivakumar, Ranjitha Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Advances in computer vision and machine learning are changing the way people dress, and buy clothes. Given the vast space of fashion problems, where can data-driven technologies provide the most value? To understand consumer pain points and opportunities for technological interventions, this paper presents the results from two independent need-finding studies that explore the gold-standard of personalized shopping: interacting with a personal stylist. Through interviews with five personal stylists, we study the range of problems they address and their in-person processes for working with clients. In a separate study, we investigate how styling experiences map to online settings by building and releasing a chatbot that connects users to one-on-one sessions with a stylist, acquiring more than 70 organic users in three weeks. These conversations reveal that in-person and online styling sessions share similar goals, but online sessions often involve smaller problems that can be resolved more quickly. Based on these explorations, we propose future personalized, online interactions that address consumer trust and uncertainty, and discuss opportunities for automation.

Original languageEnglish (US)
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherAssociation for Computing Machinery
Volume2018-April
ISBN (Electronic)9781450356206, 9781450356213
DOIs
StatePublished - Apr 20 2018
Event2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada
Duration: Apr 21 2018Apr 26 2018

Other

Other2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
CountryCanada
CityMontreal
Period4/21/184/26/18

Fingerprint

Computer vision
Learning systems
Automation
Gold
Uncertainty

Keywords

  • Chatbots
  • Conversational agents
  • Fashion
  • Need-finding

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Vaccaro, K., Agarwalla, T., Shivakumar, S., & Kumar, R. (2018). Designing the future of personal fashion. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3173574.3174201

Designing the future of personal fashion. / Vaccaro, Kristen; Agarwalla, Tanvi; Shivakumar, Sunaya; Kumar, Ranjitha.

CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Vaccaro, K, Agarwalla, T, Shivakumar, S & Kumar, R 2018, Designing the future of personal fashion. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. vol. 2018-April, Association for Computing Machinery, 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, Canada, 4/21/18. https://doi.org/10.1145/3173574.3174201
Vaccaro K, Agarwalla T, Shivakumar S, Kumar R. Designing the future of personal fashion. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April. Association for Computing Machinery. 2018 https://doi.org/10.1145/3173574.3174201
Vaccaro, Kristen ; Agarwalla, Tanvi ; Shivakumar, Sunaya ; Kumar, Ranjitha. / Designing the future of personal fashion. CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018.
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