CUXC: a collaborative user experience curve for evaluating digital technologies over time

Abstract Evaluating long-term user experience (UX) presents methodological challenges, particularly when multiple technologies intersect with complex processes. Retrospective approaches are vulnerable to memory biases and often rely on individual recall. This paper introduces the Collaborative UX Curve (CUXC), a three-phase method designed to address these limitations by combining constructive and value-account recall with cue-dependent anchors, transactive memory, and collaborative cross-cueing. The method was evaluated in a palliative care setting, where three groups of practitioners applied the CUXC across two processes: pain management and psychological well-being. Participants identified technologies through collaborative discussion, plotted individual experiences over a 3-year timeline, and collaboratively reviewed outputs. Across groups, 14 technologies were identified, 92 experiences annotated, and 9 themes generated. The collaborative format enhanced recall, reduced memory biases, and enabled evaluation of multiple technologies within complex processes. The method was efficient, with three groups completing the process in 4.5 hours, producing rich and contextualized data.

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Publication Details

Journal
Interacting with Computers
Published
2026-01-14
DOI
https://doi.org/10.1093/iwc/iwag001
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
0.00
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article

CUXC: a collaborative user experience curve for evaluating digital technologies over time

Gavin Sim, Mark Lochrie, Michelle Tierney, Andrew Fletcher
Interacting with Computers
Innovative Human-Technology Interaction
article

CUXC: a collaborative user experience curve for evaluating digital technologies over time

Gavin Sim, Mark Lochrie, Michelle Tierney, Andrew Fletcher
article en

Abstract

Abstract Evaluating long-term user experience (UX) presents methodological challenges, particularly when multiple technologies intersect with complex processes. Retrospective approaches are vulnerable to memory biases and often rely on individual recall. This paper introduces the Collaborative UX Curve (CUXC), a three-phase method designed to address these limitations by combining constructive and value-account recall with cue-dependent anchors, transactive memory, and collaborative cross-cueing. The method was evaluated in a palliative care setting, where three groups of practitioners applied the CUXC across two processes: pain management and psychological well-being. Participants identified technologies through collaborative discussion, plotted individual experiences over a 3-year timeline, and collaboratively reviewed outputs. Across groups, 14 technologies were identified, 92 experiences annotated, and 9 themes generated. The collaborative format enhanced recall, reduced memory biases, and enabled evaluation of multiple technologies within complex processes. The method was efficient, with three groups completing the process in 4.5 hours, producing rich and contextualized data.

Interacting with Computers
St Christopher's Hospice (GB), University of Lancashire (GB)
Openalex Percentile: Top 87%
Innovative Human-Technology Interaction
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CUXC: a collaborative user experience curve for evaluating digital technologies over time — Gavin Sim, Mark Lochrie, et al. · Interacting with Computers (2026) | TGRS Research Map | TGRS