research-article

Retroactive Transfer Phenomena in Alternating User Interfaces

Authors:

Reyhaneh Raissi,

Evanthia Dimara,

Jacquelyn H. Berry,

Gilles BaillyAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 14

https://doi.org/10.1145/3313831.3376538

Published: 23 April 2020 Publication History

Abstract

We investigated retroactive transfer when users alternate between different interfaces. Retroactive transfer is the influence of a newly learned interface on users' performance with a previously learned interface. In an interview study, participants described their experiences when alternating between different interfaces, e.g. different operating systems, devices or techniques. Negative retroactive transfer related to text entry was the most frequently reported incident. We then reported a laboratory experiment that investigated the impact of similarity between two abstract keyboard layouts, and the number of alternations between them, on retroactive interference. Results indicated that even small changes in the interference interface produced a significant performance drop for the entire previously learned interface. The amplitude of this performance drop decreases with the number of alternations. We suggest that retroactive transfer should receive more attention in HCI, as the ubiquitous nature of interactions across applications and systems requires users to increasingly alternate between similar interfaces.

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Cited By

Perraud RTabard AMalacria S(2024)Tutorial mismatches: investigating the frictions due to interface differences when following software video tutorialsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661511(1942-1955)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661511
Gizatdinova YŠpakov OTuisku OTurk MSurakka V(2023)Vision-Based Interfaces for Character-Based Text EntryAdvances in Human-Computer Interaction10.1155/2023/88557642023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/8855764
Todi KBailly GLeiva LOulasvirta AKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Adapting User Interfaces with Model-based Reinforcement LearningProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445497(1-13)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445497

Index Terms

Retroactive Transfer Phenomena in Alternating User Interfaces
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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Published: 23 April 2020

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Cited By

Perraud RTabard AMalacria S(2024)Tutorial mismatches: investigating the frictions due to interface differences when following software video tutorialsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661511(1942-1955)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661511
Gizatdinova YŠpakov OTuisku OTurk MSurakka V(2023)Vision-Based Interfaces for Character-Based Text EntryAdvances in Human-Computer Interaction10.1155/2023/88557642023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/8855764
Todi KBailly GLeiva LOulasvirta AKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Adapting User Interfaces with Model-based Reinforcement LearningProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445497(1-13)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445497

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