The effects of interaction sequencing on user experience and preference
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Phase 0 was conducted remotely and independently two weeks prior to the main study, helping to mitigate anchoring or recall effects.
“This phase was conducted remotely and independently by participants two weeks prior to the main study, helping to mitigate anchoring or recall effects (Cockburn, Quinn, and Gutwin 2017).”
From From Oracles to Productive Friction: Designing for Meaningful Human Oversight in Clinical AI (2026) · cites this paper as Cockburn, Quinn, and Gutwin 2017
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
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From Oracles to Productive Friction: Designing for Meaningful Human Oversight in Clinical AI
Rubegni, E., Natali, C., Valsecchi, C., Rizzo, S., Ayoub, O., & Facchini, A. (2026) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1609/aies.v9i3.43300
- Authors
- Cockburn, A., Quinn, P., & Gutwin, C.
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 108
- Pages
- 89-104
- ISSN
- 1071-5819
- Cited by
- 44
- References
- 9
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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