Mastodawn

🌕 從擬物化到液態玻璃：蘋果對後觸控未來的策略佈局
➤ 蘋果以設計變革引領人機互動的未來
✤ https://omc345.substack.com/p/from-skeuomorphic-to-liquid-glass
蘋果在WWDC 2025推出「液態玻璃」設計，不僅僅是視覺上的更新，更展現了蘋果對未來十年人機互動的策略性佈局。此舉呼應了蘋果過去的慣例，即透過設計變革引導使用者逐步適應新的互動模式。液態玻璃的設計靈感源自visionOS，旨在為即將到來的擴增實境時代做好準備，並藉此凸顯蘋果在硬體與軟體垂直整合上的優勢，同時也與AI技術的發展方向相輔相成。儘管初期可能存在易讀性和認知負擔等問題，但蘋果有信心透過不斷的調整與優化，引領整個產業朝向更自然、更沉浸式的互動體驗邁進。
+ 蘋果的設計總是能預見未來趨勢，液態玻璃的出現讓我對未來的科技充滿期待。
+ 我一開始有點不習慣液態玻璃的設計，但如果它能讓AR體驗更自然，我願意接受。
#科技趨勢 #蘋果 #設計 #人機互動

From Skeuomorphic to Liquid Glass: Apple's Strategic Bet on the Post-Touch Future

Why Apple Just Killed the iPhone Interface (And What Comes Next)

the dot dot dot

GripNews Apr 4

🌘 Clawtype v2.1 - 單手和絃式 USB 鍵盤兼滑鼠 - YouTube
➤ 單手操作新選擇：Clawtype 讓效率握在手中
✤ https://www.youtube.com/watch?v=N2PSiOl-auM
這則 YouTube 影片介紹了 Clawtype v2.1，這是一款創新的單手和絃式 USB 鍵盤兼滑鼠。透過 GitHub 連結，使用者可以找到相關的開源硬件專案，瞭解更多關於這款獨特輸入設備的設計和製作細節。Clawtype 旨在提供一種更有效率且獨特的操作方式，特別適合需要單手操作的環境或使用者。
+ 「哇！這設計太酷了，對於需要長時間使用電腦但又只有一隻手可以操作的人來說，簡直是救星！」
+ 「看起來學習曲線應該不低，但如果能掌握，效率肯定會大幅提升。等不及去 GitHub 上看看了！」
#科技 #鍵盤 #開源硬件 #人機互動

Clawtype v2.1 - a one-hand chorded USB keyboard + mouse

YouTube

GripNews Apr 1

🌘 對話式介面的批判：為何我們不需要用說話的方式和電腦互動
➤ 效率至上：為何自然語言在人機互動中不是最佳選擇
✤ https://julian.digital/2025/03/27/the-case-against-conversational-interfaces/
本文探討了人們對於以自然語言與電腦互動的長期迷戀，作者認為這種方式並非最佳的數據傳輸機制。儘管自然語言在人際溝通中作用巨大，但在人機互動中，相較於更快速、更便捷的輸入方式，如圖形介面、鍵盤快捷鍵和手勢，自然語言反而成為了瓶頸。作者認為，大型語言模型（LLM）雖然輸出品質不斷提升，但輸入方式的效率問題依然存在，並以個人經驗佐證，展示了 LLM 在輔助思考和組織想法方面的價值，而非取代現有的高效介面。
+ 終於有人說出我的想法了！我一直覺得跟Siri或Google Assistant說話比直接用手機操作更慢更麻煩。
+ 作者分析得很有道理，尤其提到數據傳輸的速率和效率，以及不同介面各自的優勢，讓我對追求「自然語言」介面的意義產生了新的思考。
#技術評論 #人機互動 #人工智慧

The case against conversational interfaces

Conversational interfaces are a bit of a meme. Every couple of years a shiny new AI development emerges and people in tech go "This is it! The next computing paradigm is here! We'll only use natural language going forward!". But then nothing actually changes and we continue using computers the way w

julian.digital

GripNews Feb 27

🌘 [2502.03575] Chartist：任務驅動的眼動控制用於閱讀圖表
➤ 對於設計易於理解的數據可視化至關重要
✤ https://arxiv.org/abs/2502.03575
為了設計易於理解的數據可視化，我們需要理解不同背景的人如何閱讀圖表。過去的計算模型通常僅關注凝視模式，忽略了任務的影響。本研究提出了Chartist，一個模擬用戶如何移動眼睛來從圖表中提取信息的計算模型，以執行包括值檢索、篩選和查找極值等分析任務。模型的創新之處在於其雙層階層控制架構，具有預測人類化任務驅動的掃描路徑的能力。
+ 這個模型對於未來的AI人機互動設計有會有很大的幫助。
+ 這種以任務驅動為基礎的眼動控制對於數據可視化領域的發展具有潛力。
#人機互動

Chartist: Task-driven Eye Movement Control for Chart Reading

To design data visualizations that are easy to comprehend, we need to understand how people with different interests read them. Computational models of predicting scanpaths on charts could complement empirical studies by offering estimates of user performance inexpensively; however, previous models have been limited to gaze patterns and overlooked the effects of tasks. Here, we contribute Chartist, a computational model that simulates how users move their eyes to extract information from the chart in order to perform analysis tasks, including value retrieval, filtering, and finding extremes. The novel contribution lies in a two-level hierarchical control architecture. At the high level, the model uses LLMs to comprehend the information gained so far and applies this representation to select a goal for the lower-level controllers, which, in turn, move the eyes in accordance with a sampling policy learned via reinforcement learning. The model is capable of predicting human-like task-driven scanpaths across various tasks. It can be applied in fields such as explainable AI, visualization design evaluation, and optimization. While it displays limitations in terms of generalizability and accuracy, it takes modeling in a promising direction, toward understanding human behaviors in interacting with charts.

arXiv.org

GripNews Sep 10, 2024

🌘 [2404.03085] Talaria: 互動優化機器學習模型以提高效能
➤ Talaria: 互動優化機器學習模型以提高效能
✤ https://arxiv.org/abs/2404.03085
文章介紹了Talaria，一個能幫助從事機器學習的人員創建高效模型的系統。該系統讓使用者將模型編譯到硬件，互動式地可視化模型統計數據，並模擬優化以測試對推理指標的影響。作者評估了Talaria的效用，並報告了使用情況。
+ 這篇文章很好地介紹瞭如何利用Talaria系統優化機器學習模型的過程，讓人一目瞭然。
+ 精簡明瞭的內容，能夠迅速瞭解Talaria系統對於提升機器學習效率的重要性。
#機器學習 #人機互動

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

On-device machine learning (ML) moves computation from the cloud to personal devices, protecting user privacy and enabling intelligent user experiences. However, fitting models on devices with limited resources presents a major technical challenge: practitioners need to optimize models and balance hardware metrics such as model size, latency, and power. To help practitioners create efficient ML models, we designed and developed Talaria: a model visualization and optimization system. Talaria enables practitioners to compile models to hardware, interactively visualize model statistics, and simulate optimizations to test the impact on inference metrics. Since its internal deployment two years ago, we have evaluated Talaria using three methodologies: (1) a log analysis highlighting its growth of 800+ practitioners submitting 3,600+ models; (2) a usability survey with 26 users assessing the utility of 20 Talaria features; and (3) a qualitative interview with the 7 most active users about their experience using Talaria.

arXiv.org

GripNews Nov 15, 2023

🌘 CASA理論不再適用於桌上型電腦
➤ CASA理論不再適用於桌上型電腦的原因和影響
✤ https://www.nature.com/articles/s41598-023-46527-9
透過對原研究的直接複制，我們發現參與者不再像對待人類一樣與桌上型電腦互動，這意味著CASA理論可能只適用於新興技術。在設計和研究人機互動時，這是一個重要的概念。
+ 很有趣的研究，顯示了CASA理論的侷限性。
+ 隨著科技的演變，我們需要不斷重新評估和調整理論。
#人機互動 #CASA理論 #科學研究

The CASA theory no longer applies to desktop computers - Scientific Reports

The Computers Are Social Actors (CASA) theory is the most important theoretical contribution that has shaped the field of human–computer interaction. The theory states that humans interact with computers as if they are human, and is the cornerstone on which all social human–machine communication (e.g., chatbots, robots, virtual agents) are designed. However, the theory itself dates back to the early 1990s, and, since then, technology and its place in society has evolved and changed drastically. Here we show, via a direct replication of the original study, that participants no longer interact with desktop computers as if they are human. This suggests that the CASA Theory may only work for emergent technology, an important concept that needs to be taken into account when designing and researching human–computer interaction.

Nature

GripNews Sep 21, 2023

🌘 Dark Sky的安魂曲 | ACM互動
➤ Dark Sky的介面設計
✤ https://interactions.acm.org/archive/view/september-october-2023/requiem-for-an-interface
本文介紹了天氣應用程式Dark Sky的介面設計，並探討了其如何設計出一個能夠提供豐富人性化體驗的系統。作者們對Dark Sky的介面設計表示了贊揚，並指出其設計原則的重要性。然而，Dark Sky最終被蘋果公司收購，並被其iOS天氣應用程式所取代。文章呼籲設計師們應該關注系統而非功能，並強調了豐富體驗的重要性。
+ 我也很喜歡Dark Sky的介面設計，很遺憾它已經消失了。
+ 設計師們應該更加關注系統的整體體驗，而不是僅僅關注功能。
#天氣應用程式 #設計原則 #人機互動

Requiem for an Interface | ACM Interactions

On January 1, 2023, the weather app Dark Sky ceased working. Many apps provide weather information and forecasts, but Dark Sky showed what thoughtful information design can do. &#...