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宝马为减少实体按键辩护:年轻人更习惯新的交互方式_我的网站

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Huang Gang is in his fifties. Every day, he sits before a computer screen at Tianyige Museum (Tianyige), flipping through ancient books - digitally.
As director of the information technology department at Tianyige Museum in Ningbo, East China's Zhejiang Province, home to Asia's oldest surviving private library and one of the world's three oldest remaining family-run libraries, his job title may seem far removed from old books. Yet his work centers on them: converting brittle, thread-bound antique volumes into searchable, zoomable digital files accessible on screen.
For years, Tianyige has carried out digitization in batches guided by its mission: rescue-oriented preservation, scholarly organization and public-oriented outreach. Its teams have scanned more than 3.4 million pages of ancient texts. The institution rolled out its Ancient‑Book Digital Service Platform back in 2009. By 2025, the platform had drawn over 4.6 million total visits.
To outsiders, this might look like a headlong rush into digitization. For Huang and his colleagues, it is delicate work balanced between fast‑evolving artificial intelligence models and the reverence owed to fragile paper relics. "Technology is a tool, ancient books are artifacts, and reading is the ultimate purpose," Huang told the Global Times.

Beyond tech boundaries
Deep in the storage vaults of Tianyige, tens of thousands of ancient volumes rest in silence. Some pages are curled and fragile; others bear faded script -the accumulated marks of centuries. Vulnerable to aging, wear and external damage, these precious paper relics can hardly sustain long-term repeated manual consultation, making digital preservation an indispensable way to inherit ancient book resources.
Huang's daily work involves leading his team in the digitization of the library's entire collection of ancient books, paintings and cultural relics, bringing rare treasures out of the shadows and into public view.
AI now serves as a core auxiliary tool for ancient-book digitization and research. Huang's group initially built character-recognition frameworks based on optical-character-recognition technology. By cross-checking outputs across different models, ancient Chinese characters, damaged script and blurry handwriting.
According to Zhejiang Daily, by August 2025, the Tianyige's digital platform had added over 3,700 new digitized book sets, lifting its total digital holdings past 20,000 volumes.
Digitization is never a purely technical exercise; in-depth scholarly expertise in ancient texts remains indispensable. Huang frequently collaborates with Zhao Xuteng, a museum librarian specializing in classical literature. Zhao is responsible for selecting which volumes to digitize, evaluating editions, studying content, and identifying works of significant academic or public value. While one team focuses on the technical execution, another digs deep into the textual substance, ensuring that cold digital capture remains faithful to the historical and bibliographic logic of the originals.

Staying true to reading
When he is not writing code, Huang keeps asking one fundamental question: What should technology actually do for people? "All technology ultimately serves the act of reading itself," he said. "It can never replace that."
With the rapid rise of large language models, demand for high-quality text corpora has surged. Overseas, some AI companies have reportedly purchased millions of printed books in bulk, scanned them and then shredded the originals.
"Machines can efficiently compile documents, retrieve sources and generate explanatory notes. Real engagement with ancient texts, however, is far more than mechanical assembly of characters," Huang noted.
Both Huang and Zhao stressed that human beings sit at the heart of cultural inheritance. People absorb wisdom from old texts, draw on personal experience and scholarship to reflect, and produce new knowledge - an intellectual process no AI can fully replicate.
The Global Times learned that every digitization workflow at Tianyige follows strict closed-loop protocols: collection checkout logging, noncontact scanning, AI-powered quality checks, precise image stitching and compliant online publication. The full procedure minimizes physical wear on original artifacts.
"A book is, first and foremost, a cultural relic that carries a thousand-year legacy," Huang said. "Only secondarily is it a text to be read." That principle, he added, is shared by all guardians at Tianyige.
"Media change, technologies evolve, but the essence of reading has never changed," he stressed.
Today, drawing on its comprehensive digital collections, Tianyige hosts monthly exhibitions of rare texts and organizes family reading events where parents and children explore the classics together. For Huang and his colleagues, the most gratifying reward is watching more and more ordinary people develop a love for ancient reading and a deeper appreciation for the traditional Chinese culture.
In an era swept by artificial intelligence, Tianyige's guardians tend to fragile paper relics while leveraging modern technology, preserving the genuine power of reading. More than 450 years of scholarly heritage flows onward, passing between human fingertips and glowing digital screens.
。 8 月 26 日消息,当地时间 25 日,据外媒 Car&Driver 报道,宝马澳大利亚 CEO 维克拉姆 · 帕瓦认为,新车实体按键减少并非为了降低成本或提高利润,而是年轻消费者越来越习惯新的交互方式。“语音和触控的使用越来越普遍,这可能跟代际差异有关。很多 45 岁及以下的消费者接受这些技术的速度更快,也更习惯使用语音和触控。”帕瓦还认为,年轻消费者希望科技产品能够更快完成操作。

二 | “他们希望事情能马上完成,而且经常同时处理多项任务。我们必须把这一点考虑进去。消费者的使用习惯就是这样在变化,他们会同时做很多事情。”帕瓦这番话也引出了一个明显的分心驾驶隐患,然而纵观汽车行业,整体向触控屏转移已经成为越来越普遍的趋势。特斯拉长期以来都把大量功能放进中控屏,不少中美造车新势力也都会采用类似设计。近几年,马自达和奔驰等传统品牌同样把越来越多车辆功能转移到车机屏幕内。

三 | 帕瓦表示:“关键是要理解这种变化为什么会发生。

四 | 一旦理解背后的原因,也更容易判断未来的发展方向。

五 | 汽车从来不是孤立存在的产品,它也是社会变化的一部分。”报道特别提到了新世代宝马 iX3,相比老款车型,其最明显的变化之一就是实体按键大量减少。空调控制和绝大多数车辆功能都被集中到屏幕中,只剩少量控制项作为实体按键存在。

六 | 宝马并非唯一越来越依赖屏幕的汽车品牌,随着 Neue Klasse 新世代平台投入使用,宝马也将推出迄今触控化程度最高的一批车型。而另一边,奔驰 CEO 康林松则开始反思:汽车行业在取消实体按键、全面拥抱触控操作方面可能走得有些过头。据此前报道,康林松坦言,从整体来看,车企推进数字化可能会显得过于激进。“有时候,你会过早追求某项技术,为了技术而技术,而在一定程度上忽略了客户真正的需求。

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Published on:06:40:14



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