ux-concepts
3
总安装量
3
周安装量
#57675
全站排名
安装命令
npx skills add https://github.com/shintaroasuzuki/shintaroasuzuki-plugins --skill ux-concepts
Agent 安装分布
gemini-cli
3
github-copilot
3
codex
3
kimi-cli
3
amp
3
opencode
3
Skill 文档
åªãã UX ãå®ç¾ããããã®ãããã®å¿çå¦ã³ã³ã»ãããçè§£ããããã³ãã¨ã³ãã®ãã¶ã¤ã³ã«æ´»ç¨ãã¾ãã
- ç¾çã¦ã¼ã¶ããªãã£å¹æ (Aesthetic-Usability Effect): ç¾çã¦ã¼ã¶ããªãã£å¹æï¼ã¨ã¹ããã£ãã¯ã»ã¦ã¼ã¶ããªãã£ã»ã¨ãã§ã¯ãï¼ã¨ã¯ãç¾ãããã¶ã¤ã³ããããããã¯ããã¤ã³ã¿ã¼ãã§ã¤ã¹ããããã§ãªãå ´åã®è£½åããä½¿ç¨æ§ãé«ãã¨æããããç¾è±¡ã®ãã¨ãæãã¾ãã
- ã¢ã³ã«ã¼å¹æ (Anchor Effect): ã¢ã³ã«ã¼å¹æã¯ã¦ã¼ã¶ã¼ã以åã«æç¤ºãããæ å ±ï¼ã¢ã³ã«ã¼ï¼ã«åºã¥ãã¦ãå¾ç¶ã®æ å ±ãè©ä¾¡ããå¾åãããå¿çç¾è±¡ã®ãã¨ãæãã¾ãã
- ããã¼ã»ãã©ã¤ã³ããã¹ (Banner Blindness): ããã¼ã»ãã©ã¤ã³ããã¹ï¼Banner Blindnessï¼ã¯ãã¦ã¼ã¶ã¼ã Web ãµã¤ãä¸ã®åºåããã¼ãç¡æèçã«ç¡è¦ããç¾è±¡ãæãã¾ãã
- èªç¥è² è· (Cognitive Load): èªç¥è² è·ã¨ã¯ãã¦ã¼ã¶ã¼ãæ å ±ãå¦çããçè§£ããéã«ãããç²¾ç¥çãªã¨ãã«ã®ã¼éãæãã¾ãã
- 確証ãã¤ã¢ã¹ (Confirmation Bias): 確証ãã¤ã¢ã¹ã¯ã人ã ãèªåã®æ¢åã®ä¿¡å¿µã仮説ã«åè´ããæ å ±ãåªå çã«åãå ¥ããéã«çç¾ããæ å ±ã«å¯¾ãã¦ã¯ç®ãå±ããªããã¾ãã¯ç¡è¦ãå¦å®ããç¾è±¡ãæãã¾ãã
- 好å¥å¿ã®ã£ãã (Curiosity Gap): 好å¥å¿ã®ã£ããï¼Curiosity Gapï¼ã¨ã¯ãã¦ã¼ã¶ã¼ãæ å ±ã®æ¬ å¦ãåããããã«èå³ãæã¡ãè¡åãèµ·ããããã«ä»åãã UX ææ³ã§ãã
- 決æç²ã (Decision Fatigue): 決æç²ãã¨ã¯ãã¦ã¼ã¶ã¼ãç¹°ãè¿ã決æãè¡ããã¨ã¨ãåæ°ã«ã¤ãåççãªé¸æãé£ãããªãç¾è±¡ã§ãã
- ãã¨ã广 (Decoy Effect): 製å/夿®µçã§è¤æ°ã®é¸æè¢ãããæã«ããã¨ãã®é¸æè¢ãè¨ãããã¨ã§ãã¦ã¼ã¶ã¼ã«ã¨ã£ã¦ä»ã®é¸æè¢ãããé åçã«æããããèªå°ææ³ã§ãã
- ããã©ã«ã广 (Default Bias): ããã©ã«ã广(Default Bias)ã¨ã¯ã人ã¯é¸æè¢ãããå ´åã夿´ããã¤ã³ã»ã³ãã£ããé åçã§ãªãéããæç¤ºãããããã©ã«ãã®å¤ã«ã¨ã©ã¾ããã¨ãå¤ãç¾è±¡ãæãã¾ãã
- ãããã£ã®é¾å¤ (Doherty Threshold): ãããã£ã®é¾å¤ï¼Doherty Thresholdï¼ã¯ãã¦ã¼ã¶ã¼ã¨ã¯ã¹ããªã¨ã³ã¹ã«ããã¦ãã¦ã¼ã¶ã¼ã 0.4 ç§ä»¥ä¸å¾ ããããã¨ãèå³åªå¤±ã®ãªã¹ã¯ãé«ã¾ãé¾å¤ãæãã¾ãããã®é¾å¤ã¯ä¸è¬çã«ã0.4 ç§ã®å£ãã¨ãå¼ã°ãã¦ããã¾ãã
- å ±æã®ã£ãã (Empathy Gap): å ±æã®ã£ãã (Empathy Gap)ã¨ã¯ãUX ã«ããã¦ããã¶ã¤ãã¼ãéçºè ãã¦ã¼ã¶ã¼ã®ææ ããã¼ãºãç«å ´ã«å¯¾ãã¦å ±æã§ããªããã¨ãæãæ¦å¿µã§ãã
- æãã广 (Endowment Effect): æãã广(Endowment Effect)ã¨ã¯ãèªåãæã£ã¦ããªããã®ãæã«å ¥ããããããèªåããã§ã«ææãã¦ãããã®ãå¸å ´ä¾¡å¤ã¨é¢ä¿ãªãéå°ã«è©ä¾¡ããå¾åãæãã¾ãã
- æå¾ ãã¤ã¢ã¹ (Expectation Bias): æå¾ ãã¤ã¢ã¹ã¨ã¯ã人ãäºåã«æã£ã¦ããæå¾ ãå å ¥è¦³ããå®éã®ä½é¨ãè©ä¾¡ã«å½±é¿ãä¸ãããã¨ãå¿çå¦çãªç¾è±¡ãæãã¾ãã
- è¦ªè¿æ§ãã¤ã¢ã¹ (Familiarity Bias): è¦ªè¿æ§ãã¤ã¢ã¹ã¨ã¯ã人ã以åã«çµé¨ãããè¦ãããããã¶ã¤ã³ãæ©è½ã«å¯¾ãã¦è¦ªãã¿ãæããå¾åã®ãã¨ã§ãã
- 段éçè¦è« (Foot in the Door Effect): 段éçè¦è«ãã¾ãã®åã¯ãããã»ã¤ã³ã»ã¶ã»ãã¢å¹æ(Foot in the Door Effect)ã¯äººã¯å°ããªãé¡ããåãå ¥ããå¾ããã大ããªãé¡ããåãå ¥ããå¾åãé«ã¾ãç¾è±¡ãæãã¾ãã
- ãã¬ã¼ãã³ã°å¹æ (Framing): ãã¬ã¼ãã³ã°å¹æã¯ãæ å ±ãã®ãã®ããããæ å ±ã®æç¤ºæ¹æ³ï¼ã¾ãã¯è¨èé£ãï¼ã«ãã£ã¦ãèªåã®å¤æãããå·¦å³ãããå ´åã«èµ·ããå¿ççç¾è±¡ã§ãã
- ã²ã¼ããã£ã±ã¼ã·ã§ã³ (Gamification): ã²ã¼ããã£ã±ã¼ã·ã§ã³ã¨ã¯ãã²ã¼ã ã®è¦ç´ ãä»çµã¿ãåãå ¥ãããã¨ã§ãã¦ã¼ã¶ã¼ã®ã¢ããã¼ã·ã§ã³åä¸ãåé¡è§£æ±ºãä¿ãã¢ããã¼ãã®ãã¨ãæãã¾ãã
- ç®æ¨å¾é 广 (Goal Gradient Effect): ç®æ¨å¾é 广 (Goal Gradient Effect)ã¨ã¯ãã¦ã¼ã¶ã¼ãç®æ¨ã«è¿ã¥ãã«ã¤ããè¡åãåªåãå éãããå¿ççãªç¾è±¡ã§ãã
- ããã¼å¹æ (Halo Effect): ããã¼å¹æã¯ã伿¥ãæ¶è²»è ããçå®å³ã®ãã社ä¼ç責任ãæããã¦ããã¨èªèãããã¨ãå°æ¬ãåããæ¶è²»è ã伿¥ãããé«ãè©ä¾¡ããç¾è±¡ã§ãã
- 観å¯å¹æ (Hawthorne Effect): 観å¯å¹æãã¾ãã®åããã¼ã½ã³å¹æãã¨ã¯ã人ã¯è¦³å¯ããã¦ãããã¨ã«å¯¾ããèªè¦ã«ãã£ã¦ãèªåã®è¡åãå¤ãã¦ãã¾ãå¾åãæãã¾ãã
- æå³çãªå£ (Intentional Friction): æå³çãªå£ã¨ã¯ãã¦ã¼ã¶ã¼ã¨ã¯ã¹ããªã¨ã³ã¹ï¼UXï¼ã«ããã¦ãæå³çã«ã¦ã¼ã¶ã¼ã®è¡åã妨ããã¹ããããå¢ãããããé ãããããããã¨ãç®çã¨ãããã¶ã¤ã³ææ³ã§ãã
- å´åã®é¯è¦ (Labor Illusion): å´åã®é¯è¦ï¼Labor Illusionï¼ã¨ã¯ããµã¼ãã¹ãã¦ã¼ã¶ã¼ã«æä¾ãããéç¨ã§ãå´åãæéãããã£ã¦ããããã«è¦ãããã¨ã§ãã¦ã¼ã¶ã¼ããµã¼ãã¹ã®ä¾¡å¤ãé«ãæããç¾è±¡ã®ãã¨ã§ãã
- æå¤±åé¿ (Loss Aversion): æå¤±åé¿ (Loss Aversion)ã¨ã¯ãã¦ã¼ã¶ã¼ãæ½å¨çãªæå¤±ãé¿ããå¾åãè¡åãæãã¾ãããã®å¿çç¾è±¡ã¯ã人ã ãå©çãå¾ããããæå¤±ãé¿ãããã¨ããææ ã«åºã¥ãã¦ãã¾ãã
- ããã¸å¹æ (Nudge): ããã¸å¹æï¼nudgeï¼ã¨ã¯ãã¦ã¼ã¶ã¼ã®æææ±ºå®ãè¡åããå½¼ããæãæ¹åã«ã广çãã¤éå¼·å¶çã«èªå°ãããã¶ã¤ã³ææ³ã§ãã
- ãã¼ã¯ã»ã¨ã³ãã®æ³å (Peak-End Rule): ãã¼ã¯ã»ã¨ã³ãã®æ³å(Peak-End Rule)ã¨ã¯ã人ãããä½é¨ãè©ä¾¡ããéã«ãå¹³åãåè¨ã«åºã¥ãã¦ä½é¨ãè©ä¾¡ããã®ã§ã¯ãªããä½é¨ã®å ã®æé«ã®ç¬éï¼ãã¼ã¯ï¼ã¨çµããã®ç¬éï¼ã¨ã³ãï¼ãéè¦ããæ³åã§ãã
- ãã©ã¤ãã³ã°å¹æ (Priming): ãã©ã¤ãã³ã°å¹æã¨ã¯ããããããåããåºæ¿ï¼æ å ±ï¼ã«ãã£ã¦ããã®å¾ã®è¡åãæèçã¾ãã¯ç¡æèã«å½±é¿ããããã¨ãæãã¾ãã
- 段éçé示 (Progressive Disclosure): 段éçé示ã¨ã¯ãæ å ±ãæ©è½ã段éçã«è¡¨ç¤ºãã¦ãã¦ã¼ã¶ã¼ãå¿ è¦ãªæã«å¿ è¦ãªæ å ±ãæ©è½ã«ã¢ã¯ã»ã¹ã§ããããã«ããã¦ã¼ã¶ã¼ã¨ã¯ã¹ããªã¨ã³ã¹ (UX) ãã¶ã¤ã³ææ³ã§ãã
- ãã°ããªãªã³å¹æ (Pygmalion Effect): ãã°ããªãªã³å¹æã¨ã¯ãã¦ã¼ã¶ã¼ã¨ã¯ã¹ããªã¨ã³ã¹ï¼UXï¼ã®æèã«ããã¦ãã¦ã¼ã¶ã¼ããããã¯ãããµã¼ãã¹ã«å¯¾ãã¦æå¾ ã信念ãæã£ã¦ããå ´åããã®æå¾ ãç¾å®ã¨ãªãå¾åãããç¾è±¡ã§ãã
- èªå°æµæ (Reactance): èªå°æµæã¨ã¯ãã¦ã¼ã¶ã¼ãå¶ç´ãå¶éãæããã¨ãã«çããå¿ççåçºã®ãã¨ã§ãã
- åå¿åãªã³ãã¼ãã£ã³ã° (Reactive Onboarding): åå¿åãªã³ãã¼ãã£ã³ã°ã¨ã¯ãã¦ã¼ã¶ã¼ã®è¡åããã¼ãºã«å¿ãã¦è¡¨ç¤ºããããªã³ãã¼ãã£ã³ã°ããã»ã¹ã®ãã¨ãæãã¾ãã
- å¸å°æ§å¹æ (Scarcity): å¸å°æ§å¹æ(Scarcity)ã¨ã¯ãååã®å ¥æå¯è½ãªæ°ãéããã¦ãããããããã¯å ¥æãé£ããã¨æããç¶æ³ã«ããã¦ãæ¶è²»è ã¯ãã®ååã«å¯¾ãã¦é«ã価å¤ãè¦åºããè³¼å ¥ææ¬²ãåä¸ããã广ãæãã¾ãã
- é¸æçæ³¨æ (Selective Attention): é¸æçæ³¨æ(Selective Attention)ã¨ã¯ãã¦ã¼ã¶ã¼ãæ å ±éå¤ã®ç¶æ³ä¸ã§ããç®çã«æ²¿ã£ãæ å ±ãã¿ã¹ã¯ã«éä¸ããä»ã®ç¡é¢ä¿ãªåºæ¿ãæ å ±ãç¡è¦ããå¾åãæãã¾ãã
- ç³»åä½ç½®å¹æ (Serial Position Effect): ç³»åä½ç½®å¹æ(Serial Position Effect)ã¨ã¯ããªã¹ããæ å ±ã®ã°ã«ã¼ããæç¤ºãããéãæåã¨æå¾ã«ä½ç½®ããé ç®ããä¸éã«ä½ç½®ããé ç®ãããè¨æ¶ãããããªãå¾åã«é¢ããã®èªç¥ã®ç¾è±¡ã§ãã
- ã¹ãã¥ã¼ã¢ã¼ãã£ãºã (Skeuomorphism): ã¹ãã¥ã¼ã¢ã¼ãã£ãºã (Skeuomorphism)ã¨ã¯ãã¦ã¼ã¶ã¼ã®çè§£ã容æã«ããããã«ããã¸ã¿ã«ã¤ã³ã¿ã¼ãã§ã¼ã¹ä¸ã®ç©ä½ãç¾å®ä¸çã®ç©ä½ã®è¦ãç®ã模å£ãããã¶ã¤ã³ææ³ã§ãã
- 社ä¼ç証æ (Social Proof): 社ä¼ç証æ(Social Proof)ã¨ã¯ã人ãä»è ã®æè¦ãè¡åã«å½±é¿ãåããå¿çç¾è±¡ãæãããããã¯ãããµã¼ãã¹ã®ä¿¡é ¼æ§ãé åãé«ããããã«ãä»ã®ã¦ã¼ã¶ã¼ã®è©ä¾¡ã使ç¨ç¶æ³ã表示ãããã¶ã¤ã³ææ³ã§ãã
- ãµã³ã¯ã³ã¹ã广 (Sunk Cost Effect): ãµã³ã¯ã³ã¹ã广(ã¾ãã¯æ²æ²¡è²»ç¨å¹æ)ã¨ã¯ãéå»ã«è³æºãå´åï¼ééãæéãã¨ãã«ã®ã¼ãªã©ï¼ãæè³ãããã¨ãæ£å½åãããã¨ããããªãè³æºãå´åãæå ¥ããå¿ççãªå¾åãæãã¾ãã
- 調æ»ãã¤ã¢ã¹ (Survey Bias): 調æ»ãã¤ã¢ã¹(Survey Bias)ã¨ã¯ã調æ»çµæãæ¬æ¥ã®æ¯éå£ã®ç¹æ§ãæ£ç¢ºã«åæ ãã¦ããªãç¶æ ã§ã誤差ãåããçãã¦ãããã¨ãæå³ãã¾ãã
- èªæã®çµã³ã¤ã (Temptation Bundling): èªæã®çµã³ã¤ã (Temptation Bundling)ã¨ã¯å¥½ããªæ´»åï¼èªæï¼ã¨è¦æãªã¿ã¹ã¯ãè¡ããããªãæ´»åãä¸ç·ã«è¡ããã¨ã§ãé£ããã¿ã¹ã¯ã¸ã®åãçµã¿ã容æã«ãããã¶ã¤ã³ææ³ã§ãã
- ã¦ã¼ã¶ã¼æå广 (User Delight): ã¦ã¼ã¶ã¼æå广ãã¾ãã¯ã¦ã¼ã¶ã¼ãã©ã¤ã(User Delight)ã¨ã¯ããããã¯ãããµã¼ãã¹ã使ç¨ãããã¨ã§ãã¦ã¼ã¶ã¼ãæããåã³ãé©ãã®ç¬éãæãã¾ãã
- å¤ååå ±é ¬ (Variable Reward): å¤ååå ±é ¬(ã¾ãã®åã¯å¯å¤å ±é ¬)ã¯ãå ±é ¬ã®å¤§ãããé »åº¦ãä¸å®ã§ãªããäºæ¸¬ã§ããªãæ§è³ªãæã¤ãã¨ã§ã人éã®èå³ãç¶ç¶æ§ãé«ãã广ãããå ±é ¬ã·ã¹ãã ãæãã¾ãã
- ãã¸ã¥ã¢ã«ã»ã¢ã³ã«ã¼ (Visual Anchor): ãã¸ã¥ã¢ã«ã»ã¢ã³ã«ã¼(Visual Anchor)ã¨ã¯ããã¶ã¤ã³ãã¬ã¤ã¢ã¦ãã®ä¸ã§è¦è¦çãªç®ç«ã¡ãããã強調ãå©ç¨ãã¦ãã¦ã¼ã¶ã¼ã®æ³¨æãç¹å®ã®è¦ç´ ã«å¼ãä»ããããã®ãã¶ã¤ã³ååã§ãã
- è¦è¦çé層 (Visual Hierarchy): è¦è¦çé層ï¼ãã¸ã¥ã¢ã«ãã¨ã©ã«ãã¼ï¼ã¨ã¯ããã¶ã¤ã³è¦ç´ ãé ç½®ããæ å ±ãæ´çããããã®ææ³ã§ãããè¦è¦çã«åªå é ä½ãä»ãããã¨ã§ãã
- ãã¡ã¤ã¬ã«ãã¯å¹æ (Zeigarnik Effect): ãã¡ã¤ã¬ã«ãã¯å¹æã¨ã¯ãæªå®äºã®ã¿ã¹ã¯ãå®äºããã¿ã¹ã¯ãããè¨æ¶ã«æ®ãç¾è±¡ãæãã¾ãã