Tlanāhuatīlli Pipgro Tepoztlatequitl inic Tequitl Nenemachtiliztli ītēchcopa Yongzun Wu and Jingxuan Wang cē cencā mahuizzō tēmacēhualōni īpan huēyi 2026 Mahuizolli A' Design Award Bronse īpan Tepoztlachihualli Tlachihchihualiztli Nēhuilīztli Tlamantli.
BronseTepoztlachihualli· 2026
Pipgro Tepoztlatequitl inic Tequitl Nenemachtiliztli
īpal Yongzun Wu and Jingxuan Wang
Tlanāhuatīlli: Kenta
Mahuizolli A' Design Award Bronse Tēmacēhualōni īpan Tepoztlachihualli Tlamantli
Tlaneltīlīlli Tēmacēhualōni
Xictlaneltilia Tēmacēhualli ītēchcopa #179002Tlanēxtilistli
Ītechcopa Pipgro Tepoztlatequitl inic Tequitl Nenemachtiliztli
Pipgro ce aplicación celular in omochihchiuh inic quinpalehuiz in huehueyi tlacah in quipiah in cocoliztli itoca déficit de atención ihuan hiperactividad (TDAH) ma quichihuacan intequiuh. Miec tlaixmachtiloni tepoztlatequitl zan quitta in tlanemililiztli, auh Pipgro quipalehuia in tlacatl ma quipehualti ihuan ma quitlami itequiuh. In tlahtolli in motenehua ahnozo in mihcuiloa, ic ce inteligencia artificial moxexeloa ipan tepitzitzin tequitl, ihuan zan ce tlamantli monextia ceceyaca. Ce "modo enfoque" quitzacuilia in tlen techixcuepa, ihuan in yollo-machiliztli mihcuiloa inic mopatlaz in tlanemililiztli in hualaz. In tlein ye omochiuh monextia ica ce ixiptlayotl in xochicualli iuhqui moxcaltia, ihuan huel mocuiz tetlaxtlahuiltin. Ce ixnextiloni ipan reloj inteligente quihueliltia ma iciuhca mihcuilo in tlanemililiztli.
Tēixīmachōtiliztli
Ītechcopa Mahuizolli A' Design Award Bronse
Pipgro Tepoztlatequitl inic Tequitl Nenemachtiliztli ca in quicuic in Mahuizolli A' Design Award Bronse, hueyi tlamahuizoliztli tlen momaca in cualli tlachihualli in motenehua ipampa yancuic tlamantli, tlamatiliztli ihuan ixtlamatiliztli. In quicuicah Bronse ca tlachihualli in quipia toltecayotl ihuan quinextia in cenca miac nemiliztli ihuan tlamatiliztli intlachihuanime. Ca quinequi in Pipgro Tepoztlatequitl inic Tequitl Nenemachtiliztli ca tlazohtli tlamantli, mahuiztic ihuan cualli. Ni dizayno in quicuic Bronse quipia cualli toltecayotl ihuan quitta in tlen tepiton. Pipgro Tepoztlatequitl inic Tequitl Nenemachtiliztli quipaquiltia in tlacah ihuan quitlamahuiztiltia in intlanequiliz.
Tlanēxtilistli Ītēixpan
Āmatl Tlanextīliztli
Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.
- Cē Zan Ītēchcopa
- Pipgro is an intelligent task execution companion designed for adults with ADHD. While most productivity tools focus on planning and listing tasks, Pipgro addresses the execution gap by breaking tasks into executable steps, narrowing focus to the present, and visualizing progress through growth metaphors. Emotion-aware planning, adaptive task redirection, and rewards reduce execution stress and support sustained follow-through.
- Huēyiliztli īhuān Tlacualtepēhualli
- Pipgro is a digital interaction design realized across mobile and smartwatch interfaces. It supports natural language input, AI-driven task decomposition, focus mode execution, emotional feedback logging, and visual progress tracking. The smartwatch interface enables quick thought capture, focus mode entry, and emotion logging, while both platforms are optimized for touch interaction, accessibility, and low cognitive load in daily use.
- Tōcāitl
- Attention Deficit Hyperactivity Disorder(ADHD), Task Decomposition, Task Execution, Behavioral Design, Cognitive Load Reduction, AI-Assisted Planning, Focus Support, Emotional Feedback, Gamified Motivation
- Tlachīhualiztli Māchiyōtl
- Pipgro is realized as a mobile digital product integrating AI-driven task decomposition, adaptive scheduling, and behavior-based feedback loops. Natural language input is parsed into structured tasks, while user interactions and emotional feedback inform dynamic task adjustment. The interface is prototyped and iterated through user testing, with focus modes, visual growth systems, and reward mechanics implemented to support sustained execution.
- Tlanāhuatīlli Nētēcahuilīztli
- The main challenge was designing a productivity system for ADHD users without increasing pressure or guilt. Traditional planning structures often worsen avoidance rather than support action. Balancing guidance with autonomy, and reducing cognitive load while maintaining progress, required careful behavioral research and repeated iteration. The design needed to support execution without control, encouraging momentum while respecting emotional resistance.
- Tlatēmōliztli
- This project is based on qualitative design research. The objective was to understand why adults with ADHD struggle with task execution rather than planning. Research methods included interviews, diary studies, and usability testing. Participants were adults diagnosed with ADHD. Findings revealed that mental overload, emotional resistance, and decision fatigue are key barriers. Insights led to an execution-focused system emphasizing task decomposition, focus support, and adaptive feedback, demonstrating how behavior-informed design can reduce friction in everyday productivity.
- Tēyōllālīliztli
- Pipgro was inspired by research and interviews revealing that adults with attention deficit hyperactivity disorder (ADHD) struggle not with planning, but with task initiation and follow-through. Observing how conventional plan-list apps often increase pressure, the design draws from behavioral psychology and cognitive load theory to reduce friction in action. The growth metaphor and emotion-aware adaptation were developed to support momentum rather than control.
- Tēquitl Cāhuitl
- The concept project was developed between June 2025 and December 2025, primarily conducted in Beijing and New Jersey.
- Tēquitl Ōhuitl
- Users begin by freely expressing their thoughts through text or voice. Pipgro breaks these thoughts into small, clear tasks and presents one step at a time. If a task feels difficult, users can further split it into easier actions. While working on a task, if users feel stuck or want to stop, Pipgro recommends simpler tasks to preserve momentum. Afterwards, users review execution and emotion data, receive AI suggestions to improve future plans, and collect fruits to customize Pip, reinforcing motivation.
- Calpolli Tlācah
- Jingxuan Wang
- Īxiptla Tlanēxtīlli
- #1: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.
#2: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.
#3: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.
#4: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.
#5: Yongzun Wu & Jingxuan Wang, UI/UX and branding, 2025.
Tlacōhualli
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