Why Consumers Trust Some Digital Experiences More Than Others
Digital trust is built from competence, integrity and benevolence signals — and undone by small inconsistencies long before any breach occurs.
Articles and perspectives from Hamid Reza Mohagheghi examining psychology, consumer behavior, decision-making, marketing, and the relationship between humans and technology.
Digital trust is built from competence, integrity and benevolence signals — and undone by small inconsistencies long before any breach occurs.
Perceived usefulness, perceived ease of use, social influence and risk explain adoption better than the objective capability of a technology.
People accept algorithmic advice readily until they see it err, then abandon it faster than they abandon a human adviser making the same mistake.
Stated privacy concern predicts disclosure behavior weakly. Context, control cues and uncertainty explain the gap better than hypocrisy does.
Stated intention is a weak predictor of behavior. Research designs that ignore this produce confident findings that fail in the field.
Consumers develop working theories about how they are being persuaded, and those theories change how any given tactic lands.
Personalization raises relevance and, past a threshold, raises discomfort. The turning point is about inference rather than accuracy.
Ratings carry real information and real distortion: selection bias, herding and strategic manipulation all shape what a star rating means.
People do not treat money as fungible. How a price is framed, bundled and timed changes what the same amount feels like.
Losses loom larger than gains — but the effect has boundaries, and recent work questions how universal the classic asymmetry really is.
Attention is a limited, contested resource. Ranking systems optimised for engagement compete for it against the person's own goals.
Social proof works through informational and normative routes, and online it compounds: early signals shape later ones until popularity becomes self-fulfilling.
Layout, defaults, ordering and effort are not neutral containers for a decision. They are part of the decision.
Habits are cue-driven and context-bound. Most of what products call habit is actually repeated intention, which is far more fragile.
Small effort costs suppress behavior far more than their objective size suggests — and selectively adding friction can improve decisions.
The line between persuasion and manipulation is not about effectiveness. It runs through whether the influence survives disclosure.
Defaults are among the strongest known influences on behavior, working through effort, implied endorsement and reference-point effects.
Deceptive interface practices are measurable, widespread and increasingly regulated. Their common feature is exploiting the gap between attention and consent.
More assortment does not reliably reduce satisfaction. Choice overload depends on task difficulty, preference uncertainty and decision goals.
The literature appears contradictory until you separate task type, error visibility and whether the person can modify the algorithm's output.
Each article develops one strand of the wider research interests. New pieces are added after editorial review rather than on a schedule.