--- name: psychology-foundations description: Use when you need to understand WHY certain UX patterns work. Covers cognitive psychology, behavioral science, and neuroscience foundations that underpin satisfying experiences. --- # Psychology Foundations Understanding *why* patterns work lets you apply them to new situations. These are the research foundations beneath UX practice. ## About This Skill This skill contains **research-backed principles only**. Each concept includes: - The original researcher(s) - Year of key publication(s) - What the research actually showed - Limitations or caveats where relevant --- ## 1. Dopamine and Anticipation **Researchers:** Wolfram Schultz (1990s), Robert Sapolsky **Field:** Neuroscience ### What Research Shows Dopamine neurons fire in response to **prediction of reward**, not reward itself. When a reward is expected and received, dopamine levels don't spike at reward time—they spike at the cue predicting the reward. Schultz's experiments with monkeys showed: - Unexpected reward → dopamine spike at reward - Expected reward (after learning) → dopamine spike at predictor, not reward - Expected reward that doesn't come → dopamine dip (disappointment) ### UX Implication Progress indicators work because they signal approaching reward. The anticipation phase is neurologically active. **Source:** Schultz, W. (1998). Predictive reward signal of dopamine neurons. *Journal of Neurophysiology*. --- ## 2. Peak-End Rule **Researchers:** Daniel Kahneman, Barbara Fredrickson **Field:** Behavioral economics, Psychology **Recognition:** Nobel Prize in Economics (2002) ### What Research Shows In studies of colonoscopies and other experiences, participants rated overall experience based on: 1. The **peak** moment (most intense) 2. The **end** moment Duration had little effect ("duration neglect"). A longer painful experience ending gently was rated better than a shorter one ending abruptly. ### UX Implication - Create one memorable positive peak - End interactions well - A graceful error recovery can redeem a frustrating experience **Source:** Kahneman, D. et al. (1993). When more pain is preferred to less. *Psychological Science*. --- ## 3. Loss Aversion **Researchers:** Daniel Kahneman, Amos Tversky **Field:** Behavioral economics **Recognition:** Foundational to Prospect Theory (Nobel Prize 2002) ### What Research Shows Losses loom larger than gains. In experiments, losing $10 felt roughly **2x as bad** as gaining $10 felt good. This asymmetry affects decision-making: people take irrational risks to avoid losses. ### UX Implication - Data loss is disproportionately frustrating - Auto-save, undo, and preservation matter more than features - Frame choices in terms of what users might lose **Source:** Kahneman, D. & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. *Econometrica*. --- ## 4. Flow State **Researcher:** Mihaly Csikszentmihalyi **Field:** Positive psychology **Timeline:** Research from 1970s, book *Flow* published 1990 ### What Research Shows Csikszentmihalyi interviewed hundreds of experts (artists, athletes, surgeons, chess players) about their optimal experiences. Common characteristics: | Condition | Description | |-----------|-------------| | Clear goals | Know what success looks like | | Immediate feedback | See results of actions | | Challenge-skill balance | Task matches ability | | Sense of control | Autonomy over actions | When conditions are met, people report: - Deep concentration - Loss of self-consciousness - Distorted time perception - Intrinsic reward from the activity itself ### Limitations - Original research was qualitative (interviews, experience sampling) - "Challenge-skill balance" is hard to operationalize - Neurophysiological validation is still emerging **Source:** Csikszentmihalyi, M. (1990). *Flow: The Psychology of Optimal Experience*. --- ## 5. Cognitive Load Theory **Researcher:** John Sweller **Field:** Educational psychology **Timeline:** Theory developed 1988 ### What Research Shows Working memory has limited capacity. Sweller identified three types of cognitive load: | Type | Description | Reducible? | |------|-------------|------------| | **Intrinsic** | Complexity inherent to the task | No (task-dependent) | | **Extraneous** | Load from poor presentation | **Yes** (design target) | | **Germane** | Load that aids learning | Desirable | Instructional design should minimize extraneous load to free capacity for intrinsic and germane processing. ### UX Implication - Reduce visual clutter - Group related information - Use familiar patterns - Don't make users remember across screens **Source:** Sweller, J. (1988). Cognitive load during problem solving. *Cognitive Science*. --- ## 6. Miller's Law (Working Memory Limits) **Researcher:** George Miller **Field:** Cognitive psychology **Year:** 1956 ### What Research Shows Miller's famous paper "The Magical Number Seven, Plus or Minus Two" found people can hold approximately 7±2 "chunks" in working memory. ### Limitations **Important:** Modern research suggests the number may be closer to **4±1 chunks** for novel information (Cowan, 2001). Miller's "7" applies to well-practiced, chunked material. ### UX Implication - Limit simultaneous options - Group items into meaningful chunks - Don't rely on users remembering many items **Sources:** - Miller, G.A. (1956). The magical number seven. *Psychological Review*. - Cowan, N. (2001). The magical number 4 in short-term memory. *Behavioral and Brain Sciences*. --- ## 7. Serial Position Effect **Researcher:** Hermann Ebbinghaus **Field:** Memory research **Year:** 1885 ### What Research Shows When recalling lists, people remember: - **First items** (primacy effect) — transferred to long-term memory - **Last items** (recency effect) — still in working memory - Middle items are poorly recalled ### UX Implication - Put important items first or last - Don't bury critical information in the middle - First impressions and final interactions matter most **Source:** Ebbinghaus, H. (1885). *Über das Gedächtnis* (On Memory). --- ## 8. Zeigarnik Effect **Researcher:** Bluma Zeigarnik **Field:** Gestalt psychology **Year:** 1927 ### What Research Shows Interrupted tasks are remembered better than completed ones. The mind keeps incomplete tasks "open" in memory. ### Limitations **Caution:** Replication studies have been mixed. The effect appears real but smaller and more context-dependent than originally claimed. ### UX Implication - Progress indicators leverage incompleteness - Unfinished onboarding motivates return - But: incomplete tasks also create cognitive burden **Source:** Zeigarnik, B. (1927). Über das Behalten von erledigten und unerledigten Handlungen. *Psychologische Forschung*. --- ## 9. Choice Overload (Paradox of Choice) **Researchers:** Sheena Iyengar, Mark Lepper **Field:** Decision-making psychology **Year:** 2000 ### What Research Shows The famous "jam study": shoppers shown 24 jam varieties were less likely to purchase than those shown 6 varieties. More choice led to decision paralysis. ### Limitations **Important:** Meta-analyses (Scheibehenne et al., 2010) found the effect is **smaller and more context-dependent** than popularized. Choice overload occurs under specific conditions: - Unfamiliar domain - Difficult to compare options - No clear preference - High decision stakes ### UX Implication - Reduce options when users lack expertise - Provide smart defaults - But: experts may want more choices **Sources:** - Iyengar, S. & Lepper, M. (2000). When choice is demotivating. *Journal of Personality and Social Psychology*. - Scheibehenne, B. et al. (2010). Can there ever be too many options? *Journal of Consumer Research*. --- ## Laws of UX (Quick Reference) These are practitioner heuristics with varying levels of research backing: | Law | Principle | Evidence Level | |-----|-----------|----------------| | **Hick's Law** | Decision time increases with options | [Research] | | **Fitts's Law** | Larger, closer targets are easier to hit | [Research] | | **Miller's Law** | ~7±2 items in working memory | [Research] (with caveats) | | **Jakob's Law** | Users expect familiar patterns | [Expert] NNg | | **Aesthetic-Usability** | Pretty things seem more usable | [Research] | | **Postel's Law** | Be liberal in input, strict in output | [Expert] | **Source:** [Laws of UX](https://lawsofux.com/) --- ## Key Sources - Schultz, W. (1998). Predictive reward signal of dopamine neurons. - Kahneman, D. & Tversky, A. (1979). Prospect Theory. - Kahneman, D. (1993). When more pain is preferred to less. - Csikszentmihalyi, M. (1990). *Flow: The Psychology of Optimal Experience*. - Sweller, J. (1988). Cognitive load during problem solving. - Miller, G.A. (1956). The magical number seven. - Cowan, N. (2001). The magical number 4 in short-term memory. - Ebbinghaus, H. (1885). *Über das Gedächtnis*. - Iyengar, S. & Lepper, M. (2000). When choice is demotivating. - Scheibehenne, B. et al. (2010). Can there ever be too many options?