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Designing an Adaptive Web Navigation Interface for Users with Variable Pointing Performance

Published: 23 April 2018 Publication History

Abstract

Many online services and products require users to point and interact with user interface elements. For individuals who experience variable pointing ability due to physical impairments, environmental issues or age, using an input device (e.g., a computer mouse) to select elements on a website can be difficult. Adaptive user interfaces dynamically change their functionality in response to user behavior. They can support individuals with variable pointing abilities by 1) adapting dynamically to make element selection easier when a user is experiencing pointing difficulties, and 2) informing users about these pointing errors. While adaptive interfaces are increasingly prevalent on the Web, little is known about the preferences and expectations of users with variable pointing abilities and how to design systems that dynamically support them given these preferences.
We conducted an investigation with 27 individuals who intermittently experience pointing problems to inform the design of an adaptive interface for web navigation. We used a functional high-fidelity prototype as a probe to gather information about user preferences and expectations. Our participants expected the system to recognize and integrate their preferences for how pointing tasks were carried out, preferred to receive information about system functionality and wanted to be in control of the interaction. We used findings from the study to inform the design of an adaptive Web navigation interface, PINATA that tracks user pointing performance over time and provides dynamic notifications and assistance tailored to their specifications. Our work contributes to a better understanding of users' preferences and expectations of the design of an adaptive pointing system.

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      cover image ACM Other conferences
      W4A '18: Proceedings of the 15th International Web for All Conference
      April 2018
      223 pages
      ISBN:9781450356510
      DOI:10.1145/3192714
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      Published: 23 April 2018

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      Author Tags

      1. Adaptive Interfaces
      2. Assistive Technology
      3. Inclusion
      4. Pointing Problems
      5. Web Navigation

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      • Refereed limited

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      • NIDILRR

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      W4A '18
      W4A '18: The Internet of Accessible Things
      April 23 - 25, 2018
      Lyon, France

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      W4A '18 Paper Acceptance Rate 25 of 43 submissions, 58%;
      Overall Acceptance Rate 171 of 371 submissions, 46%

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      • (2024)Good Days, Bad Days: Understanding the Trajectories of Technology Use During Chronic Fatigue SyndromeProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642553(1-10)Online publication date: 11-May-2024
      • (2024)MW4HBI: Mobile and Wearable Human-Building Interactions with a Multi-Platform User Interface2024 International Conference on Development and Application Systems (DAS)10.1109/DAS61944.2024.10541293(1-7)Online publication date: 23-May-2024
      • (2023)PAWS: Personalized Arm and Wrist Movements With Sensitivity Mappings for Controller-Free Locomotion in Virtual RealityProceedings of the ACM on Human-Computer Interaction10.1145/36042647:MHCI(1-21)Online publication date: 13-Sep-2023
      • (2020)Longitudinal Study of Two Virtual Cursors for People With Motor Impairments: A Performance and Satisfaction Analysis on Web NavigationIEEE Access10.1109/ACCESS.2020.30017668(110381-110396)Online publication date: 2020
      • (2019)Adaptive interface ecosystems in smart cities control systemsFuture Generation Computer Systems10.1016/j.future.2019.06.029101:C(605-620)Online publication date: 1-Dec-2019
      • (2018)Who Should Have Access to my Pointing Data?Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3234695.3239331(203-216)Online publication date: 8-Oct-2018

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