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.
Hamid Reza Mohagheghi is Professor and Researcher at the University of Toronto. His research interests focus on understanding human behavior in environments shaped by technology, marketing, information, and choice.
Consumer psychology examines the psychological processes underlying purchasing, preference formation, brand perception, trust, and decision-making.
Areas of particular interest include cognitive biases, motivation, attention, emotional response, social influence, and perceived value.
Human decisions are rarely based on purely rational calculations.
Behavioral decision-making examines how framing, uncertainty, loss aversion, heuristics, context, and cognitive limitations influence choices.
Marketing psychology examines how people interpret persuasive messages, evaluate brands and products, respond to social signals, and form intentions.
A central concern is distinguishing effective communication from manipulative practices.
Digital platforms have introduced new environments for human decision-making.
Interface design, recommendation systems, personalization, reviews, social proof, and digital friction can all influence consumer behavior.
Human-technology interaction focuses on how people understand, trust, adopt, and use technological systems.
Relevant themes include usability, automation, artificial intelligence, trust, cognitive workload, and technology acceptance.
New technologies succeed only when people are willing and able to incorporate them into their lives.
Psychological factors such as perceived usefulness, trust, familiarity, uncertainty, social influence, and perceived risk can strongly affect adoption.
Articles and perspectives that develop the research interests above.
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.