poster

Gaze-based Product Filtering: A System for Creating Adaptive User Interfaces to Personalize Stateless Point-of-Sale Machines

Authors:

Janick Edinger,

Christian BeckerAuthors Info & Claims

UIST '19 Adjunct: Adjunct Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology

Pages 75 - 77

https://doi.org/10.1145/3332167.3357120

Published: 14 October 2019 Publication History

Abstract

User interfaces in self-order terminals aim to satisfy the need for information of a broad audience and thus get easily clut-tered. Online shops present personalized product recommen-dations based on previously gathered user data to channel the user's attention. In contrast, stateless point-of-sales machines generally have no access to the user's personal information nor previous purchase behavior. User preferences must therefore be determined during the interaction. We thus propose using gaze data to determine preferences in real-time. In this paper we present a system for dynamic gaze-based fltering.

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Cited By

Heck MEdinger JBecker C(2022)Lessons Learned from an Eye Tracking Study for Targeted Advertising in the Wild2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops53856.2022.9767470(539-544)Online publication date: 21-Mar-2022
https://doi.org/10.1109/PerComWorkshops53856.2022.9767470
Heck MSonntag PBecker C(2021)Is This Really Relevant? A Guide to Best Practice Gaze-based Relevance Prediction ResearchAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3464476(220-228)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450614.3464476
Heck MEdinger JBecker C(2021)Conditioning Gaze-Contingent Systems for the Real World: Insights from a Field Study in the Fast Food IndustryExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451658(1-7)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451658
Show More Cited By

Index Terms

Gaze-based Product Filtering: A System for Creating Adaptive User Interfaces to Personalize Stateless Point-of-Sale Machines
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Interaction design
    1. Interaction design process and methods
      1. Contextual design

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Published In

cover image ACM Conferences

UIST '19 Adjunct: Adjunct Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology

October 2019

192 pages

ISBN:9781450368179

DOI:10.1145/3332167

General Chair:
François Guimbretière
Cornell University, USA
,
Program Chairs:
Michael Bernstein
Stanford University, USA
,
Katharina Reinecke
University of Washington, USA

Copyright © 2019 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 14 October 2019

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UIST '19

Sponsor:

UIST '19: The 32nd Annual ACM Symposium on User Interface Software and Technology

October 20 - 23, 2019

LA, New Orleans, USA

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Overall Acceptance Rate 561 of 2,567 submissions, 22%

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Cited By

Heck MEdinger JBecker C(2022)Lessons Learned from an Eye Tracking Study for Targeted Advertising in the Wild2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops53856.2022.9767470(539-544)Online publication date: 21-Mar-2022
https://doi.org/10.1109/PerComWorkshops53856.2022.9767470
Heck MSonntag PBecker C(2021)Is This Really Relevant? A Guide to Best Practice Gaze-based Relevance Prediction ResearchAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3464476(220-228)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450614.3464476
Heck MEdinger JBecker C(2021)Conditioning Gaze-Contingent Systems for the Real World: Insights from a Field Study in the Fast Food IndustryExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451658(1-7)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451658
Heck MEdinger JBünemann JBecker CScholer FThomas PElsweiler DJoho HKando NSmith C(2021)Exploring Gaze-Based Prediction Strategies for Preference Detection in Dynamic Interface ElementsProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446013(129-139)Online publication date: 14-Mar-2021
https://dl.acm.org/doi/10.1145/3406522.3446013

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