Associations in experience: why the same event feels different

An association is a connection between a stimulus or situation and a meaning, memory, expectation or evaluation. A wooden interior might suggest calm and authenticity to one guest but outdated maintenance to another. The sound of a performance car might mean freedom and technical achievement to one person, danger or disturbance to someone else. What is physically perceived and what that perception signifies can be distinguished analytically, even though they interact in daily life.

Experience itself involves several possible outcomes: what someone notices, how a moment feels, how events are interpreted, what action follows and what is later recalled. An association is therefore not equivalent to an emotion, sensory intensity, visual attention or purchase intention. Someone may look at an installation for a long time because it is confusing rather than enjoyable. A strong emotional response does not necessarily imply a positive recommendation.

The practical question for Neurofactor is which meanings become accessible in a particular context and how they relate to attraction, resistance and choice. The existing knowledge-base article on associations explains the fundamental concept. This introduction focuses on applying that concept to experience research rather than repeating a general definition of memory. [Vessel & Rubin, 2010; Leder et al., 2004]

For research purposes, it is useful to distinguish five interacting layers. Expectation: what reference point is formed by promises, prices, prior visits or reputation? Perception: what does the person actually see, hear, smell, taste or feel? Interpretation: what is that perception taken to mean about quality, safety, identity or relevance? Context: what setting, company, task, timing or social norm is present? Memory: which elements remain available when the person looks back?

These are not five independently validated brain modules and not a mandatory linear funnel. They form a practical editorial framework for separating research questions. One participant responds to an unexpected smell; another interprets the same cue through a previous brand experience. Context sometimes changes the meaning of a cue, while a person's interpretation can direct their attention towards particular details. Small features may consequently have important effects without being universally positive or negative.

In empirical aesthetics, Leder and colleagues (2004) developed an information-processing model that links perception, classification, understanding and evaluation to aesthetic judgement. It is a theoretical framework, not a neural scanner capable of reading an individual visitor's private experience. A layered research design is useful precisely because it asks about intermediate processes rather than treating the final score as an adequate explanation. [Leder et al., 2004; Lemon & Verhoef, 2016]

Experiences frequently begin before arrival. An invitation, online review, ticket price, website or recognised brand already shapes what people expect. Sometimes this helps visitors direct their attention. Someone who knows that an installation is interactive may actively search for ways to participate. A guest promised exclusive service may judge a wait differently from someone expecting an informal, self-service environment.

Experiments demonstrate that contextual information can affect experienced pleasantness. In the wine study by Plassmann and colleagues (2008), participants tasted wines under different price expectations; price information influenced subjective liking and an fMRI response in a relevant brain region. McClure and colleagues (2004) found that brand knowledge affected reported preferences and neural responses during soft-drink tasting. These were particular experimental conditions. They do not demonstrate that raising prices invariably makes a product taste better or that communication completely controls sensory experience. [Plassmann et al., 2008; McClure et al., 2004]

The design question is whether the promise communicated in advance matches the experience people encounter. Strong expectations can attract participants, but they may also increase disappointment when delivery falls short. Measure expectation and experience separately. Otherwise, a negative evaluation may be blamed on the physical design even though the problem began with an unrealistic promotional promise.

Lighting, sound, room to move, queues, signs, social proximity and staff behaviour can all influence what people notice, how easily tasks are completed and what the environment appears to stand for. Bitner (1992) described the servicescape as a way to understand the role of physical surroundings in customer and employee responses. The paper offers a conceptual framework, not a universal prescription for lighting, colours or conversion. [Bitner, 1992]

Consider a showroom using quiet minimalism to communicate exclusivity. Some visitors might feel calm and able to concentrate. Others may read the same setting as distant or intimidating. A host who explains where people may sit, explore and ask questions could change the meaning of the space without replacing the interior. Conversely, warm words cannot compensate for inaccessible facilities or a genuinely unsafe environment.

Social conditions also matter. Visiting an interactive exhibition with friends may encourage discussion and shared enjoyment; visiting alone may support concentration. When researching such differences, record group size, visit purpose, crowding, familiarity and relevant situational factors. An average score stripped of context can appear to describe the design, while part of the variation may actually be explained by the circumstances under which people encountered it. [Brieber et al., 2015; Lemon & Verhoef, 2016]

People do not necessarily interpret the same signals in the same way. Someone who loves abstract art may seek complexity, while a first-time museum visitor may want guidance. A cyclist might interpret a bicycle's material and geometry as craftsmanship, while another visitor focuses on comfort or maintenance. Learning history, interests, cultural references and the purpose of the visit may all be relevant. One experience design therefore need not produce a single interpretation.

Vessel and Rubin (2010) examined preferences for abstract and recognisable images. Participants showed substantially less agreement with one another about abstract images than about images of familiar real-world scenes, even when individual preferences were internally consistent. This distinction matters: diversity of preference is not the same as randomness. The study also does not prove that all individual taste can be reduced to semantic associations. [Vessel & Rubin, 2010]

A better response than demographic stereotyping is associative segmentation: identify patterns of meaning, test whether those patterns are relevant to the task and be transparent about the uncertainty. Age or job role may be background information, not automatically the reason someone dislikes a particular display. People seeking tranquillity may simultaneously value discovery and resist crowding. Whether such patterns support useful segments depends on sample quality, measurement design and independent validation.

Experience briefs often ask what will excite visitors. That captures only part of the decision. An invitation to participate may feel playful and inclusive to one person but make another self-conscious. The promise 'experiment freely' might signify autonomy and, at the same time, the fear of making a visible mistake. A project that measures only positive associations can inadvertently strengthen a feature while leaving the barrier associated with it untouched.

Consider a premium test drive, an artwork that asks visitors to make an obvious public choice, or an interactive display in an office. Each may activate ideas about autonomy and participation while also raising concerns about guidance or social judgement. It is tempting to average the opposing evaluations into a single neutral number. A more actionable question is: who finds it appealing, who experiences resistance, at which moment, and what change would alter that interpretation? [Tversky & Kahneman, 1981; Schwarz & Clore, 1983]

Resistance is not necessarily unconscious or irrational. Concerns about price, accessibility, physical safety, privacy or social exposure may be entirely reasonable. A responsible redesign starts with the actual barrier where possible. Association research should deepen understanding of that barrier rather than dismiss participants' stated reasons as meaningless rationalisations.

Researchers can distinguish multiple moments during an event: entering, waiting, encountering a surprise, receiving guidance and leaving. Afterwards, a participant may offer one overall judgement. Those levels are not interchangeable. Fredrickson and Kahneman (1993) found in controlled affective episodes that duration had relatively little influence on certain retrospective global evaluations. Redelmeier and Kahneman (1996) investigated differences between contemporaneous pain reports and later evaluations of medical procedures. [Fredrickson & Kahneman, 1993; Redelmeier & Kahneman, 1996]

These findings are frequently simplified into a universal 'peak-end rule'. Treat that as a useful prompt for investigation, not a law saying only the most intense moment and the final minute count. The original experiments used particular stimuli or clinical procedures. Positive museum visits, hospitality interactions and customer journeys can involve different mechanisms. Remembering something positively also does not prove that someone will book again, recommend it or act on a preference.

A stronger design measures during the experience, soon afterwards and, when relevant, after a delay. It also records observed behaviour. A visitor might forget an uncomfortable queue but have left early because of it. A challenging moment might later be described as rewarding even though it was stressful at the time. An exit survey alone is an incomplete record of such dynamics.

The principle is broadly useful, but the target outcome changes with the setting. A museum may want to understand engagement with art and willingness to return. A retailer might ask whether the store conveys reliability or distance. In hospitality, calm may matter more than surprise; at a live event, social inclusion may be central. A single universal 'experience score' makes these differences difficult to identify. [Lemon & Verhoef, 2016]

These questions are illustrative rather than measured research outcomes. Select outcome measures according to the decision the organisation needs to make. A museum need not treat conversion as its central indicator when the goal is learning or accessibility. Similarly, a positive showroom association does not independently demonstrate a sale.

Begin with a decision, not with equipment. Are you trying to understand why visitors disengage, whether a new explanation works, or what different groups associate with a particular route? Translate the problem into a testable hypothesis, such as: 'a short introduction explaining that prior knowledge is not required may reduce uncertainty without reducing curiosity'. Decide in advance what evidence would support or challenge that hypothesis.

Where feasible, test alternative versions with comparable participant groups. Consider order effects, crowding, weather, familiarity, and self-selection into participation. Field research may better reflect actual behaviour, while also involving more confounding factors than a tightly controlled laboratory study. That is not a reason to dismiss it; it is a reason to interpret it correctly. [Orquin & Mueller Loose, 2013; Debener et al., 2012]

Return to the fictional museum. Feedback suggests that visitors are curious, yet some feel insecure because the accompanying descriptions contain specialist language. The museum considers two alternatives: version A presents the full art-historical explanation immediately; version B starts with a simple observation question and offers the same background as optional additional information. The purpose is not to make everyone linger, but to investigate engagement, meaning and accessibility.

A credible trial begins with a preregistered or at least explicitly documented hypothesis. For example, version B might reduce perceived difficulty among visitors without specialist knowledge while retaining useful depth for regular museum-goers. The museum assigns versions in a controlled way across comparable sessions, records crowding and group composition, and measures comprehension as well as voluntary use of additional information. An association task might then examine whether 'inviting', 'difficult', 'personal' or 'distant' becomes more accessible in each condition.

This is a fictional design illustration, not a Neurofactor study and not a measured improvement. Even if version B achieves better scores, uncertainty, possible confounding and the relevance of the measured outcome must still be examined. Longer viewing does not automatically establish greater appreciation. The value of the study lies in starting with an explicit problem and using evidence to decide whether a proposed change helps.

Good intervention design begins with the problem, not a decorative effect. If visitors do not know where to start, clear wayfinding may be more useful than immersive technology. If people avoid an interactive display because they feel watched, a practice mode or less exposed placement may address the barrier better than stronger audio-visual stimulation. If campaign promises exceed what a service delivers, a more accurate promise may be more effective than an even more dramatic introduction.

Follow a practical cycle: understand the current experience, state a testable explanation, design targeted alternatives, compare them on meaningful outcomes and iterate where necessary. This is a research workflow, not a claim that the human brain processes experiences in precisely that order. Include visitors and staff in the interpretation. They may identify a real accessibility problem that physiological equipment cannot resolve or even detect.

Maintain a clear distinction between improving an experience and manipulating people. The aim should not be to steer participants covertly towards a predetermined reaction. Responsible design respects preferences, agency and information needs. Obtain appropriate consent and handle personal and biometric data carefully, particularly when recording physiology, video or audio. A meaningful improvement should make an experience genuinely more usable or comprehensible, not simply raise an attractive-looking metric.

Two people can follow the same route and leave with different meanings. Expectations, sensory cues, personal associations, social context and memory interact throughout the experience. Studies of museum context, tasting expectations and retrospective judgements demonstrate why one physical event does not equal one fixed psychological outcome. They do not provide a universal formula for predicting an individual visitor's experience. [Brieber et al., 2015; Plassmann et al., 2008; Fredrickson & Kahneman, 1993]

For CX managers, UX specialists, experience designers, museums and brands, the next step is specific: establish what meaning matters, to whom, in which context, and how an improvement can be tested. Combine observed conditions with the words, responses and behaviour of the people involved. If an associative conflict is relevant, test which design decision reduces the barrier without losing the original attraction.

Future articles in this subseries will address individual differences in experience, art and museums, experience design and evaluation methods. The general introductory article on associations provides the theoretical starting point. Planned articles must not appear as public links until the corresponding language version is genuinely published.