How to read a technology forecast
Predictions about technology in museums have a mixed record. Some tools once described as the next big thing became routine, while others faded after a few seasons. This article describes technologies that museums are exploring or may explore, and for each it tries to say how settled the picture is. Treat everything here as possibility rather than prediction.
Artificial intelligence
Software that generates or analyzes text, images and sound is the most discussed area. Possible uses in museums fall into a few groups.
- Behind the scenes. Helping staff draft descriptions, sort large photo collections, transcribe recordings or suggest tags. These tasks still need human checking, since errors and invented details can appear.
- Visitor questions. Conversational exhibits that let visitors ask questions in their own words. This is attractive, but accuracy, tone and safety are real concerns, particularly for sensitive subjects.
- Translation and access. Automatic captions and translation may widen access, although quality varies by language and subject, and review by a person is usually wise.
- Generated media. Imagery produced by software raises authenticity and rights questions, and many museums approach it carefully.
What is settled: AI is already used for some background tasks. What is uncertain: how well public-facing uses hold up, how they should be labeled, and what they cost to run over time.
Sensors and responsive spaces
Cameras, depth sensors, microphones, pressure mats and other detectors can let a gallery respond to people. Uses include motion sensing for gesture control, counting visitors to understand crowd flow, and triggering media when someone approaches. Combined with tangible interfaces, they can link physical objects to digital content.
Benefits are mainly interaction without touching a shared surface. Concerns include visitor privacy, consent for recording, and the reliability of sensors in changing light and crowds. Systems that gather data about people need clear rules, and signs saying what is collected.
Extended reality
Virtual reality, augmented reality and mixed reality continue to develop. Headsets can place visitors in reconstructed places or let them see hidden layers of an object, and phone-based augmented reality avoids the cost of headsets. Practical issues include motion comfort, hygiene when equipment is shared, supervision needs, and the way a headset isolates a visitor from companions. Opinions differ about how widely headset content will be used in galleries; many institutions treat it as suited to particular stories rather than as a general format.
Displays and projection
Screens continue to change: larger, brighter, thinner and sometimes curved or transparent. Projection mapping and wide video walls can transform surfaces, and displays that work better in bright rooms help with glare. Hardware advances are generally steady and predictable, and the main museum question is whether the new display serves a purpose that an existing one does not.
Sound
Spatial audio and directional speakers may let several experiences share a room with less sound bleed. Audio can also support accessibility through description and guidance. This area is often overlooked, although sound has a strong effect on how a space feels.
3D capture and the web
Improved 3D scanning and web-based viewers make it easier to share objects online and to display detailed models in galleries. Capture methods are becoming more accessible, but storage, long-term preservation and consistent quality remain practical issues. Digital copies also raise questions about ownership and sharing, such as digital repatriation.
Connected and personal tools
Visitor phones, wearables and location tools may allow content to follow a visitor through a building. These bring convenience, along with privacy and access questions. Not every visitor owns or wants to use a device, so a museum generally needs a fallback.
Unsettled areas
It is worth being clear about what is not known:
- Which formats visitors will still want in ten years.
- How costs of running AI-based features will develop.
- What regulations, if any, will apply to data from sensors and cameras.
- How sustainable power-hungry displays and servers are, which links to concerns about environmental impact.
A sensible approach
A museum considering a new technology can ask a short list of questions:
- What interpretive problem does it solve?
- Is there a simpler way to solve it?
- Who will keep it running, and for how long?
- How will visitors with different needs use it?
- What data does it collect, and is that necessary?
- Can it be tested in a temporary exhibit first?
Small trials, honest evaluation and a willingness to retire a feature that is not working are usually better guides than enthusiasm. The result is slower but also less likely to leave a gallery with an expensive display that nobody uses.