Summary
Why do players play? And more specifically, why do they keep playing? The psychology of player engagement draws on decades of motivation research — particularly Self-Determination Theory (SDT), which identifies three fundamental human needs whose satisfaction drives intrinsic motivation. Games that meet all three create deep, durable engagement. Games that rely only on extrinsic rewards (points, unlocks, leaderboards) can create compulsive behaviour without genuine enjoyment. This page covers SDT, the practical frameworks derived from it, and the darker side of retention mechanics — loss aversion and the sunk cost fallacy.
For the neurochemical dimension of engagement, see neurochemical-engagement. For flow as an engagement state, see flow.
Intrinsic vs. extrinsic motivation
| Intrinsic | Extrinsic | |
|---|---|---|
| Driven by | Internal satisfaction, enjoyment, curiosity | External rewards — points, money, grades, unlocks |
| Examples in games | The joy of mastering a mechanic; the pleasure of exploration; narrative curiosity | Achievement badges, leaderboard ranking, daily login rewards |
| Sustainability | Durable — continues as long as the activity remains satisfying | Fragile — stops when rewards stop or lose value |
| Risk | Can be undermined by adding extrinsic rewards that reframe the activity | Can crowd out intrinsic motivation (overjustification effect) |
The overjustification effect: When an activity that was previously intrinsically motivating is given extrinsic rewards, players begin to perceive the reward as the reason they are doing it. Remove the reward and engagement drops — even below the pre-reward baseline. This is why games built entirely on extrinsic reward loops tend to lose players rapidly once the rewards are exhausted.
Self-Determination Theory (SDT)
Self-determination theory (Deci and Ryan, 1985) proposes that human well-being and intrinsic motivation depend on the satisfaction of three innate psychological needs:
Competence
The need to gain mastery and feel effective in one’s environment.
- Players want to feel capable; they need to believe their skills are growing
- Games satisfy competence through: skill progression, meaningful feedback, well-calibrated challenge, visible advancement
- Failing to satisfy competence: games that are too difficult (player feels incompetent), too easy (no mastery required), or that provide feedback suggesting the player cannot improve
- Links closely to: interaction-loops (skill acquisition), flow (the channel of appropriate challenge), fun-as-learning (pleasure of mastery)
Autonomy
The need to feel in control of one’s own actions.
- Players want to feel their choices are their own, not dictated
- Games satisfy autonomy through: meaningful choices, multiple paths to objectives, character customisation, open-world design
- Failing to satisfy autonomy: linear games with no player choice, heavy-handed tutorials that refuse to let go, forced playstyles
- Links closely to: player-agency (agency as meaningful choice), game-loops (player-driven loop progression)
Relatedness
The need to feel a sense of belonging and connection with others.
- Players want to feel connected — to other players, to characters, or to a community
- Games satisfy relatedness through: multiplayer, cooperative gameplay, NPC relationships with emotional weight, community features (guilds, clans), narrative bonds between characters
- Failing to satisfy relatedness: games that feel isolated and disconnected, with no social dimension or emotional investment in the world
- Links closely to: social mechanics (see Wk2 MDA mechanics), neurochemical-engagement (oxytocin and social bonding)
SDT as a design diagnostic: When a game loses players, SDT offers three diagnostic questions:
- Are players getting better and feeling capable? (Competence)
- Are their choices mattering? (Autonomy)
- Do they feel part of something? (Relatedness)
Player rewards taxonomy
Player rewards in games can be categorised by type:
| Reward type | Description | Examples |
|---|---|---|
| Points | Numerical score feedback | Score systems, XP |
| Levels | Progress markers with mechanical changes | Character levelling, world unlocks |
| Narrative access | Story progression as reward | New cutscenes, lore reveals, story chapters |
| Virtual goods | Items, equipment, cosmetics | Loot drops, crafted items, purchasable cosmetics |
Design principle: The most durable rewards are those that satisfy SDT needs directly — a new ability (Competence), a new path through the world (Autonomy), a new character relationship (Relatedness). Purely cosmetic or numerical rewards satisfy neither; they may initially engage but typically hollow out quickly.
The GOLF framework
The GOLF (Game-Oriented Learning Framework) was developed by T. Charles (2009) in a PhD thesis on game absorption techniques for e-learning. It identifies six factors that drive engagement in game-like contexts, each corresponding to a psychological driver:
| Factor | Engagement mechanism |
|---|---|
| Fun | Engagement is easier if the experience is genuinely enjoyable |
| Identity | Engagement is reinforced when participants have a visible, meaningful role |
| Social | Engagement builds on the support of others going through the same experience |
| Challenge | Engagement builds on human competitive drive, enhanced by social pressure |
| Feedback | Engagement is reinforced by making achievement explicit and visible |
| Structure | Engagement is more likely when objectives and constraints are clear and acceptable |
GOLF is particularly relevant to gamification — the use of game mechanics in non-game contexts (education, training, fitness, productivity). A gamified system that includes all six factors is significantly more likely to sustain engagement than one focused only on points and badges.
Gamification integrates game mechanics like points, leaderboards, and progress indicators into non-game activities to boost engagement. It is effective when it builds on intrinsic motivation — but can backfire when it substitutes extrinsic rewards for genuine engagement. See GOLF as a more nuanced framework than simple points-plus-badges gamification.
Retention mechanics: the ethical edge
Loss aversion
The tendency for individuals to prefer avoiding losses over acquiring equivalent gains.
Daniel Kahneman’s research on prospect theory (1979) established that the psychological pain of losing something is roughly twice as powerful as the pleasure of gaining the equivalent. In games:
- Permadeath exploits loss aversion to make every decision feel high-stakes (Roguelikes)
- Progress loss on death creates anxiety that drives careful play and extended sessions
- Daily streaks create loss aversion around “streak maintenance” — players log in to avoid losing their streak rather than because they want to play
- Limited-time offers and events create urgency through fear of missing out (FOMO)
Ethical dimension: Loss aversion mechanics can be used to create tension and meaningful stakes (legitimate design), or to manipulate players into behaviour they would not otherwise choose (exploitative design). The distinction lies in whether the mechanic serves the play experience or bypasses player agency entirely.
Sunk cost fallacy
The tendency to continue a behaviour as a result of previously invested resources — time, money, or effort — regardless of whether continuing serves current interests.
In games:
- Players continue playing a game they are not enjoying because they have already invested 100 hours
- Players make in-app purchases partly to justify previous purchases
- Players complete a bad game to “get their money’s worth”
Design exploitation: Some games are explicitly designed to maximise the sunk cost trap — early sessions are pleasurable and invest the player emotionally and temporally; later sessions become mandatory-feeling even when unenjoyable.
Ethical dimension: Sunk cost exploitation targets the player’s cognitive biases rather than offering genuine value. Games built primarily on this mechanism tend to generate negative sentiment even from engaged players, as players eventually recognise the manipulative structure.
Maslow’s Hierarchy of Needs in games (CRE342)
Maslow (1943, 1954) proposed that human needs are arranged hierarchically, with physiological survival needs at the base and self-actualisation at the top. Higher needs are only pursued once lower ones are met. CRE342 maps this hierarchy directly to game design as a framework for understanding what different game systems are satisfying.
| Maslow level | Game equivalent | Examples |
|---|---|---|
| Safety and security | Psychological safety in the UX; clear rules, accessibility options, content warnings | Adjustable difficulty; robust onboarding |
| Love and belonging | Social connection through clans, guilds, co-operative play; onboarding rituals that create inclusion | Fortnite squads; guild systems in MMOs |
| Esteem | Ranks, titles, cosmetic prestige that signal achievement without pay-to-win; visible progress | Crowns in Fortnite; Prestige modes |
| Self-actualisation | Creator tools, build modes, theory-crafting, speedrunning; expression and mastery | Dreams, Minecraft, speedrun communities |
Ethical consideration: Esteem-level mechanics are vulnerable to exploitation — pay-gated status items that signal achievement without being earned undermine both fairness and genuine esteem. Systems that prey on esteem insecurity (e.g. exclusive cosmetics that create anxiety about social standing) cross an ethical line. (see dark-patterns)
Relationship to SDT: Maslow’s Belonging maps to Relatedness; Esteem maps loosely to Competence; Self-actualisation maps to Autonomy. The frameworks are complementary, not competing. SDT specifies the mechanism (need satisfaction); Maslow provides a rough ordering of which needs are prerequisite to which.
(CRE342 Lectures, see source-cre342-lectures)
Player transformation
Beyond entertainment, games have the potential to genuinely change players:
- Cognitive skills: Problem-solving, strategic thinking, spatial reasoning, pattern recognition
- Motor skills: Hand-eye coordination, reaction time, fine motor control
- Soft skills: Multiplayer and cooperative games develop teamwork, communication, and empathy through collaborative play
- Self-reflection: Player choices in narrative games can prompt genuine self-reflection — Undertale and Papers, Please are canonical examples of games that create moral discomfort that extends beyond the screen
- Learning outcomes: Serious games and educational games embed learning objectives within gameplay, making the learning itself intrinsically motivated
Related
- neurochemical-engagement — dopamine, serotonin, oxytocin; the brain chemistry of engagement
- flow — the optimal engagement state; closely related to Competence satisfaction
- fun-as-learning — Koster’s theory that fun is learning; the Competence need in action
- player-agency — Autonomy satisfaction requires genuine agency
- interaction-loops — Competence is built through repeated LDARF loops
- game-balance — calibrating challenge to maintain Competence satisfaction
- game-loops — the loop structures that deliver reward and feedback
- internal-economy — reward economies must satisfy SDT needs to sustain engagement
- dark-patterns — Exploitative monetisation targets SDT and Maslow needs unethically
- bartle-taxonomy — Player types map loosely to SDT needs
- reward-systems — Designing reward systems that satisfy intrinsic needs
- source-cre133-lectures
- source-cre342-lectures