Construct · 6 names · 14 citations

Where does perceived ease of use collide?

Different names. Different fields. One construct. One map.

● jangle · six names, one construct Nearest construct by meaningeffort expectancycompare the meanings
How to read this

Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to perceived ease of use is effort expectancy.

Hold this as a prompt, not a verdict. Two constructs sitting close in meaning is a reason to read them side by side and decide for yourself whether they are one idea under two names. It is not proof that they are. Compare the meanings in the Collider.

PCI ITEMS ADAPTED FROM PEOURENAMED EE (2003)perceivedease of use6 NAMESTAMDAVIS 1989 · SIX ITEMSDiffusion theoryROGERS · PCI SCALEUTAUTVENKATESH · POOLEDSocial cognitiveBANDURA · CAN I DO ITCognitive psych.SWELLER · FLUENCYHCIISO 9241-11 · SUS

Spokes are the names and the models that coined them; dashed arcs are borrowings. Tap a field for its definition, unit, and measures.

2026

Drag to watch the word get claimed. Each name appears at the publication date of the earliest source cited for it. Tap a year to see which.

Technology acceptance model

the degree to which a person believes that using a particular system would be free of effort.

The degree to which a person believes that using a particular system would be free of effort: Davis's 1989 definition, built from the same fourteen-to-six item pruning as usefulness and validated in the same two studies. The six items ask whether the system is easy to learn, controllable, clear, flexible, easy to become skilful with, and easy to use. Davis found ease of use predicted use mostly through usefulness, which is why the construct has spent thirty years as the junior partner. Venkatesh's 2000 model of its determinants split it into anchors (self-efficacy, anxiety, playfulness, perceptions of external control) and adjustments (enjoyment, objective usability) that grow with experience, a map of its antecedents that reads like a list of this page.[1][2]

Unit
A user's belief about the effort a specific system will demand
Recovery means
Not applicable
Measured by
Six seven-point Likert items; use or intention as the criterion
Scales indexed for this construct
  • Perceived ease of use (PEOU)Davis, F. D., 1989 · freedom from effort in learning and operating the system6 items

Innovation diffusion theory

the degree to which an innovation is perceived as relatively difficult to understand and use, negatively related to adoption.

The degree to which an innovation is perceived as relatively difficult to understand and use, Rogers's attribute, the only one of the five that is negatively related to adoption. Tornatzky and Klein's 1982 meta-analysis found it one of the three attributes consistently related to adoption, alongside compatibility and relative advantage. Moore and Benbasat reversed the sign in 1991, called the PCI subscale ease of use, and adapted its items from Davis; the sign flip and the rename happened in the same paper. What differs is that Rogers's construct is a perception of the innovation, not of the effort it asks of the adopter, and it was originally a reason not to adopt.[3][4][5]

Unit
An adopter's perception of an innovation's difficulty
Recovery means
Not applicable
Measured by
Complexity or ease-of-use items; rate of adoption as the criterion
Scales indexed for this construct
  • PCI ease of use (PCI-EOU)Moore, G. C., & Benbasat, I., 1991 · clarity and controllability of the innovation, complexity reversed8 items

UTAUT & UTAUT2

the degree of ease associated with using a system, pooling perceived ease of use and related complexity constructs.

The degree of ease associated with the use of the system, Venkatesh, Morris, Davis, and Davis's 2003 label for the pool of perceived ease of use, PCI ease of use, and MPCU complexity. They took four items from the parents, found the effect on intention strongest for women, older workers, and the inexperienced, and found it fading after the first months of use. UTAUT2 carried the construct into consumer settings unchanged. Its extension history and its critics are on the effort expectancy page; here it is where the lineage ends.[6][7]

Unit
A user's belief about a specific technology and the effort it demands
Recovery means
Not applicable
Measured by
Four Likert items drawn from the parent scales

Social cognitive theory

a judgement of one's own capability to use a computer, applying Bandura's self-efficacy to computing.

A judgement of one's capability to use a computer, Compeau and Higgins's 1995 application of Bandura's self-efficacy, measured by asking whether the respondent could complete a job with a new package under ten conditions of decreasing support, from having only the manuals to having someone show them first. It is a belief about the self, not about the system, and it is an antecedent: Venkatesh's 2000 model found it the strongest anchor for perceived ease of use, and Compeau and Higgins found it drove outcome expectations, affect, and use. It sits on this map because studies keep measuring it with ease-of-use wording and because the two correlate highly enough to be mistaken for each other; the referent is what tells them apart.[8][2]

Unit
A person's belief about their own capability
Recovery means
Not applicable
Measured by
Ten-item magnitude-and-strength scale with graded levels of assistance

Cognitive psychology

the demand a task places on working memory and the subjective ease of processing, two mechanisms behind perceptions of ease.

Two constructs that between them supply the mechanism behind every perception on this page. Sweller's cognitive load is the demand a task places on working memory; his 1988 problem-solving studies showed that means–ends search consumed the capacity needed for learning, so a harder-feeling task can also be a worse-taught one. Alter and Oppenheimer's 2009 review united the fluency literatures (perceptual, linguistic, retrieval, conceptual) into one metacognitive signal: the subjective ease of processing, which people misread as truth, liking, familiarity, and confidence. Ease here is measured by task performance and by ratings of felt ease, and what differs is that it is a property of a person's processing during a task, not a belief about a system, and that its effects on judgement are the object of study rather than a nuisance.[9][10]

Unit
A person's processing during a task
Recovery means
Reduced extraneous load or restored fluency after redesign
Measured by
Dual-task performance, error rates, subjective load ratings; fluency manipulations of font, contrast, and phrasing

Human–computer interaction

the extent to which specified users can use a product to achieve specified goals with effectiveness, efficiency, and satisfaction.

The extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency, and satisfaction in a specified context of use, the ISO 9241-11 definition of 1998, which makes usability a measured property of a product-in-context rather than a belief. Nielsen's 1993 textbook set out learnability, efficiency, memorability, errors, and satisfaction as its components and the discount usability test as its method. Brooke's System Usability Scale, a ten-item questionnaire written in 1986 and published in 1996, gives the field a subjective score that correlates with ease-of-use scales but is anchored to a session of actual use. Hornbæk's 2006 review of 180 studies found the three ISO components measured inconsistently and rarely together. What differs is that usability is observed as well as reported, and belongs to the product, not the user.[11][12][13]

Unit
A product in a context of use, for specified users and goals
Recovery means
Task completion after a design iteration
Measured by
Task success, time on task, error counts; SUS or other post-session questionnaires
Scales indexed for this construct
  • System Usability Scale (SUS)Brooke, J., 1996 · global subjective usability after a session of use, scored 0–10010 items

Next

Run it through the Collider, or take the citations with you.

Combine items across the perceived ease of use scales to see whether the meanings separate empirically, or export every reference on this page in one click.

Open in ColliderExport BibTeXReport this collision

Nearby collisions

effort expectancy6 names · 10 citationsjangle · four names, one constructperceived usefulness6 names · 9 citationsjangle · six names, one constructperformance expectancy6 names · 11 citationsjangle · six names, one construct

References

  1. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  2. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872
  3. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
  4. Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, EM-29(1), 28–45. https://doi.org/10.1109/TEM.1982.6447463
  5. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192
  6. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  7. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
  8. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688
  9. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
  10. Alter, A. L., & Oppenheimer, D. M. (2009). Uniting the tribes of fluency to form a metacognitive nation. Personality and Social Psychology Review, 13(3), 219–235. https://doi.org/10.1177/1088868309341564
  11. International Organization for Standardization. (1998). Ergonomic requirements for office work with visual display terminals (VDTs): Part 11: Guidance on usability (ISO 9241-11:1998). ISO.
  12. Nielsen, J. (1993). Usability engineering. Academic Press. https://doi.org/10.1016/c2009-0-21512-1
  13. Hornbæk, K. (2006). Current practice in measuring usability: Challenges to usability studies and research. International Journal of Human-Computer Studies, 64(2), 79–102. https://doi.org/10.1016/j.ijhcs.2005.06.002
  14. Brooke, J. (1996). SUS: A "quick and dirty" usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & I. L. McClelland (Eds.), Usability evaluation in industry (pp. 189–194). Taylor & Francis. https://doi.org/10.1201/9781498710411-35

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct