User Experience Design of Data-Driven Systems

数据驱动系统的用户体验设计

• 批准号: CRC-2021-00076
• 负责人: Cheng, Jinghui
• 金额: $ 8.74万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=755328
• 关键词: User; Experience; Design; Data; Driven

Data-driven software systems, such as music and video recommender applications, voice assistance systems, decision-making support tools, and intelligent cyber-physical systems (e.g., drones), have experienced significant growth over the past years. While the technology behind these systems is becoming increasingly powerful, the current data-driven systems suffer from a user experience (UX) design innovation crisis, limiting their ability to truly enhance people's lives and fulfill practical needs. Additionally, flaws and failures in the UX design of these systems can have detrimental impacts, resulting in economic losses and life-threatening incidences.The overall objective of this research program is to investigate, create, and evaluate a new set of UX design-support techniques and tools that harness the power of data-driven intelligent systems to enable their end-users. These techniques and tools will facilitate the collaborative and creative UX design process and help software practitioners create more usable and innovative data-driven systems.To achieve this, this research program will focus on the identification, modeling, detection, and utilization of mechanics-oriented UX design patterns. These design patterns capture a set of fundamental and recurring user actions that are frequent in data-driven systems. Leveraging these patterns, creativity-support tools will be investigated to support UX designers in the organization and retrieval of design artifacts (e.g., sketches, mockups, and storyboards). Additionally, tools that use these design patterns will also be explored for synchronous and asynchronous design collaboration among diverse and multi-disciplinary stakeholders (e.g., designers, developers, data scientists, and end-users). Together, these efforts feature a human-centered perspective, involving designers and other software stakeholders during the entire process of proposing, creating, and evaluating the techniques and tools.Through the innovative exploration of the mechanics-focused UX design patterns, the dynamic creativity support techniques, and the cross-disciplinary collaboration design tools for data-driven systems, this research program will provide ground-breaking contributions to advance UX design research. Because of the human-centered approach, the research outcomes can easily be transferred to practice to support the UX design of data-driven systems.

数据驱动的软件系统，如音乐和视频推荐应用程序、语音辅助系统、决策支持工具和智能网络物理系统（例如，无人机），在过去几年中经历了显著增长。虽然这些系统背后的技术变得越来越强大，但当前的数据驱动系统遭受用户体验（UX）设计创新危机，限制了它们真正改善人们生活和满足实际需求的能力。此外，这些系统的用户体验设计中的缺陷和失败可能会产生不利影响，导致经济损失和危及生命的事件。本研究计划的总体目标是调查，创建和评估一套新的用户体验设计支持技术和工具，利用数据驱动的智能系统的力量，使其最终用户。这些技术和工具将促进协作和创造性的UX设计过程，并帮助软件从业者创建更多可用和创新的数据驱动系统。为了实现这一目标，本研究计划将专注于识别，建模，检测和利用面向机制的UX设计模式。这些设计模式捕获了一组基本的和重复的用户操作，这些操作在数据驱动的系统中很常见。利用这些模式，将研究创造力支持工具，以支持UX设计师组织和检索设计工件（例如，草图、模型和故事板）。此外，还将探索使用这些设计模式的工具，以便在不同和多学科的利益相关者之间进行同步和异步设计协作（例如，设计师、开发人员、数据科学家和最终用户）。这些努力共同体现了以人为本的观点，在提出、创建和评估技术和工具的整个过程中，都有设计师和其他软件利益相关者的参与。通过对以机制为中心的UX设计模式、动态创意支持技术和数据驱动系统的跨学科协作设计工具的创新探索，这项研究计划将为推进用户体验设计研究提供突破性的贡献。由于以人为本的方法，研究成果可以很容易地转移到实践中，以支持数据驱动系统的用户体验设计。