Methodology

What this measurement is / is not

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Primary measured construct: Reluctance (self-reported psychological hesitation, unease, or internal friction; Japanese questionnaire term: 「抵抗（抵抗感）」).

Terminology note: In the Japanese questionnaire, item wording uses the term “resistance/reluctance” (抵抗・抵抗感). In English, Reluctance is used as the formal label to avoid the connotation of physical or organized resistance. Japanese pages may add plain-language glosses such as “hesitation” (ためらい) for readability. All refer to the same measured variable.

A reference-oriented index linking question groups to commonly discussed governance dimensions is provided in Evidence Mapping. The index is a descriptive crosswalk at the question-group level and does not reveal verbatim item wordings.

1. Scope of measurement

This research reports aggregated summaries of observed responses to defined home-AI and robotics contexts within domestic environments in Japan. The focus is on how people respond to specific configurations of space, system behavior, and data-governance conditions described in the survey scenarios.

Measurements are conducted at the level of concrete, described contexts rather than abstract attitudes or general opinions.

2. Primary construct

The primary construct measured in this research is Reluctance, defined as self-reported psychological hesitation, unease, or internal friction in response to a described home-AI context.

3. Measurement dimensions

4. Survey design

Data are collected via an online survey panel (access panel) in Japan through a third-party panel provider. Unless otherwise stated on the issue record, samples are collected via a non-probability online access panel. Sampling approach (probability vs. non-probability), sample size, fieldwork period, and any quota or weighting decisions are documented in the corresponding issue record.

The panel provider is disclosed in the issue record where permitted; if not disclosed, the issue record states the reason for non-disclosure.

Standard data-quality checks are applied (e.g., duplicate detection, speed/straightlining checks, and consistency checks). High-level QC procedures and any exclusion rules are documented in the issue record.

Each scenario specifies a combination of spatial context, system behavior, and governance-related conditions.

Question specifications and response scales are maintained as versioned specifications for longitudinal comparability. Starting from 2025, each issue is assigned a specification identifier (Spec ID), and the Spec ID is documented on the issue record.

5. Measurement tool and documentation

A public summary of the measurement scope and question structure is provided for interpretability. Verbatim question wording, full response options, presentation order, and instructions are maintained as version-controlled controlled documentation.

Where independent verification is required (e.g., audit or academic replication), controlled documentation may be provided under the published Data Access policy.

6. Interpretation and limitations

Reported values represent aggregated summaries of observed response patterns within the sample collected under the issue record’s documented design and should be interpreted as descriptive evidence.

As with all survey-based research, results are subject to selection and coverage limitations, response bias, measurement error, and contextual interpretation.

7. Change management and time scope

Measurement specifications and editorial rules are maintained as versioned specifications. If changes are necessary, they are introduced as a new specification version and documented.

Data collected under a given specification are not retroactively altered by subsequent changes. Prior versions remain part of the public record.

Specification versions, change logs, and errata are maintained as a public record. See Errata & Corrections for version notes and dated updates.

This page is subject to versioned updates; material changes are recorded in Errata & Corrections.

8. Measurement framework

Observations are organized using the J-HAB (Japan Home AI Boundary) framework, which provides a structured way to describe variation in reported reluctance across spatial, behavioral, and governance dimensions.

J-HAB is used as a descriptive organizing framework under fixed, versioned definitions.

9. Standards and principles (self-declared)

Methodological disclosures are structured with reference to AAPOR Transparency Initiative (TI) disclosure elements, operational procedures are informed by ISO 20252:2019 service-requirement concepts, and repository design reflects the TRUST Principles (Transparency, Responsibility, User focus, Sustainability, Technology).

These are self-declared design and operating choices and do not claim TI certification or ISO certification. If this status changes in the future, it will be explicitly disclosed on this page.