Interactional Authenticity

Interactional authenticity is the second of two complementary qualities in Bachman and Palmer's authenticity framework (Language Testing in Practice, 1996), paired with Situational Authenticity. Where situational authenticity asks whether the test task looks like a real-world task, interactional authenticity asks whether it engages the candidate's language ability in the way a real-world task would.

The construct rests on the observation that surface authenticity is gameable. A reading test built from real newspaper articles is situationally authentic; if candidates pass it by skim-and-keyword strategies that bypass the comprehension processes the test claims to measure, the test is interactionally hollow. Authenticity has to be judged on both axes.

What engagement means

Interactional authenticity has high values when the test task engages:

• Language ability: the components of the construct the test claims to measure — grammatical knowledge, textual knowledge, pragmatic knowledge, sociolinguistic knowledge in Bachman & Palmer's model.
• Topical knowledge: the candidate's prior knowledge of the subject, used in the way real language users deploy it.
• Affective schemata: motivation, interest, and emotional engagement appropriate to real-world task performance.
• Strategic competence: the candidate's metacognitive management of language use under task constraints.

A task where the candidate can produce a defensible response without genuine comprehension scores low on interactional authenticity even when the surface features look right.

Why it is harder to design for

Interactional authenticity is downstream of task design and upstream of candidate behaviour, which makes it hard to engineer at specification time. Three diagnostic moves recur in the literature: think-aloud protocols with pilot candidates to verify that they engage the construct as intended; eye-tracking studies on reading tests to confirm candidates actually read rather than scan; and qualitative analysis of high-scoring versus low-scoring response strategies to detect construct-irrelevant shortcuts.

For high-stakes tests, these are expensive but catch failures that no surface review will. For AI-assisted item generation interactional authenticity remains the open problem: a generator can match TLU features but cannot guarantee that the resulting task forces the engagement the construct demands.

Key References

• Bachman, L. F. & Palmer, A. S. (1996). Language Testing in Practice: Designing and Developing Useful Language Tests. Oxford University Press.
• Bachman, L. F. & Palmer, A. S. (2010). Language Assessment in Practice. Oxford University Press.
• Bachman, L. F. (1990). Fundamental Considerations in Language Testing. Oxford University Press.

See Also

• Authenticity: the parent concept
• Situational Authenticity: the complementary axis
• Target Language Use Domain: the framework both axes are anchored in
• Communicative Competence: the broader construct interactional authenticity engages