Designing an adaptive web navigation interface for users with variable pointing performance

Aqueasha Martin-Hammond, Foad Hamidi, Tejas Bhalerao, Christian Ortega, Abdullah Ali, Catherine Hornback, Casey Means, Amy Hurst

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

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 15th Web for All Conference
Subtitle of host publicationInternet of Accessible Things, W4A 2018
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450356510
DOIs
StatePublished - Apr 23 2018
Event15th International Web for All Conference, W4A 2018 - Lyon, France
Duration: Apr 23 2018Apr 25 2018

Publication series

NameProceedings of the 15th Web for All Conference : Internet of Accessible Things, W4A 2018

Conference

Conference15th International Web for All Conference, W4A 2018
CountryFrance
CityLyon
Period4/23/184/25/18

Fingerprint

Navigation
User interfaces
Websites
Information systems
Specifications

Keywords

  • Adaptive Interfaces
  • Assistive Technology
  • Inclusion
  • Pointing Problems
  • Web Navigation

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Martin-Hammond, A., Hamidi, F., Bhalerao, T., Ortega, C., Ali, A., Hornback, C., ... Hurst, A. (2018). Designing an adaptive web navigation interface for users with variable pointing performance. In Proceedings of the 15th Web for All Conference: Internet of Accessible Things, W4A 2018 [a31] (Proceedings of the 15th Web for All Conference : Internet of Accessible Things, W4A 2018). Association for Computing Machinery, Inc. https://doi.org/10.1145/3192714.3192818

Designing an adaptive web navigation interface for users with variable pointing performance. / Martin-Hammond, Aqueasha; Hamidi, Foad; Bhalerao, Tejas; Ortega, Christian; Ali, Abdullah; Hornback, Catherine; Means, Casey; Hurst, Amy.

Proceedings of the 15th Web for All Conference: Internet of Accessible Things, W4A 2018. Association for Computing Machinery, Inc, 2018. a31 (Proceedings of the 15th Web for All Conference : Internet of Accessible Things, W4A 2018).

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

Martin-Hammond, A, Hamidi, F, Bhalerao, T, Ortega, C, Ali, A, Hornback, C, Means, C & Hurst, A 2018, Designing an adaptive web navigation interface for users with variable pointing performance. in Proceedings of the 15th Web for All Conference: Internet of Accessible Things, W4A 2018., a31, Proceedings of the 15th Web for All Conference : Internet of Accessible Things, W4A 2018, Association for Computing Machinery, Inc, 15th International Web for All Conference, W4A 2018, Lyon, France, 4/23/18. https://doi.org/10.1145/3192714.3192818
Martin-Hammond A, Hamidi F, Bhalerao T, Ortega C, Ali A, Hornback C et al. Designing an adaptive web navigation interface for users with variable pointing performance. In Proceedings of the 15th Web for All Conference: Internet of Accessible Things, W4A 2018. Association for Computing Machinery, Inc. 2018. a31. (Proceedings of the 15th Web for All Conference : Internet of Accessible Things, W4A 2018). https://doi.org/10.1145/3192714.3192818
Martin-Hammond, Aqueasha ; Hamidi, Foad ; Bhalerao, Tejas ; Ortega, Christian ; Ali, Abdullah ; Hornback, Catherine ; Means, Casey ; Hurst, Amy. / Designing an adaptive web navigation interface for users with variable pointing performance. Proceedings of the 15th Web for All Conference: Internet of Accessible Things, W4A 2018. Association for Computing Machinery, Inc, 2018. (Proceedings of the 15th Web for All Conference : Internet of Accessible Things, W4A 2018).
@inproceedings{f989e6f929bd4126b3bbebc83c9347cd,
title = "Designing an adaptive web navigation interface for users with variable pointing performance",
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.",
keywords = "Adaptive Interfaces, Assistive Technology, Inclusion, Pointing Problems, Web Navigation",
author = "Aqueasha Martin-Hammond and Foad Hamidi and Tejas Bhalerao and Christian Ortega and Abdullah Ali and Catherine Hornback and Casey Means and Amy Hurst",
year = "2018",
month = "4",
day = "23",
doi = "10.1145/3192714.3192818",
language = "English (US)",
series = "Proceedings of the 15th Web for All Conference : Internet of Accessible Things, W4A 2018",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of the 15th Web for All Conference",

}

TY - GEN

T1 - Designing an adaptive web navigation interface for users with variable pointing performance

AU - Martin-Hammond, Aqueasha

AU - Hamidi, Foad

AU - Bhalerao, Tejas

AU - Ortega, Christian

AU - Ali, Abdullah

AU - Hornback, Catherine

AU - Means, Casey

AU - Hurst, Amy

PY - 2018/4/23

Y1 - 2018/4/23

N2 - 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.

AB - 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.

KW - Adaptive Interfaces

KW - Assistive Technology

KW - Inclusion

KW - Pointing Problems

KW - Web Navigation

UR - http://www.scopus.com/inward/record.url?scp=85051820051&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85051820051&partnerID=8YFLogxK

U2 - 10.1145/3192714.3192818

DO - 10.1145/3192714.3192818

M3 - Conference contribution

T3 - Proceedings of the 15th Web for All Conference : Internet of Accessible Things, W4A 2018

BT - Proceedings of the 15th Web for All Conference

PB - Association for Computing Machinery, Inc

ER -