Coventry Observatory

Hosting a sensing walk in an automated vehicle test street; using eyes and ears as well as a smart phone app to locate invisible technologies along the road. They found plenty of sensors, cameras, antennae and boxes, but little sign of what they are for...

Collage adapted from Street surveillance technology by Iain Emsley from CIM.

Mapping Future Mobility

In Coventry, the AI in the street team hosted a sensing walk along the Holyhead Road, a busy commuter and residential road that is part of the Midlands Future Mobility testbed.

Guided by an open-ended question - how does AI manifest in this street? small groups of residents, artists and researchers who live in the area looked for signs of AI in the street using their own senses and a smartphone app called the Unheard City.

Each group formed a multi-sensory organ and walked the environs using different senses – our bodies, our eyes and ears, the ‘Unheard City’ app sensor – to locate AI in the street. Participants made audio and voice recordings, sketched and noted down reminders of what they sensed, helped by a set of prompt questions on a worksheet and their phones.

Afterwards, they created a diagram of their findings at the Weaver’s Workshop. Using recordings and notes made during the walk, they created a multi-faceted diagram of the Holyhead Road, and the devices, situations and arrangements that enable AI innovation in this street. Once the diagram was completed, we narrated back to each other the stories recorded in our diagrams, identifying different ways in which AI is both invisible in the street as well visibly present through infrastructures that support cars and surveillance.

“All the signals in the road will impact people inside and outside the houses, there are many units of tech." [..]

"Most lampposts have two, three or four cameras attached to them. So much clutter.”

– Diagramming workshop, Audio recording, participant exchange

Holyhead Road, Coventry

Notice of Planning Application

“I understand that all these different uses of surveillance exist and have legitimacy but we don’t know why they are there. And it doesn’t seem like it’s very readily available information.”

Methodology

The Coventry Observatory adopted the method of the sensing walk, which is an a participatory, embodied approach to examining lived environments (Lacey et al, 2019; Waltham-Smith, 2023; Marres, 2024).

We adapted this method for the situated exploration of automated and connected environments, by using devices such as a smart phone app and worksheets to orient participants attention to the question of how "AI" manifests in the everyday setting of the Holyhead Road.

Walking together with residents, artists,  and researchers who live and work inside the Midlands Future Mobility testbed, walking becomes a way to sound out the automated and connected environment as a lived environment and to grow attentive to the myriad ways in which AI innovation impacts on and transforms everyday urban settings.

Walking in small groups, participants conducted listening exercises in designated, AI-relevant hotspots along the Holyhead Road. They recorded their observations on worksheets containing prompts, made photos and sound recordings along the way, and scanned the setting for digital signals (wifi, bluetooth) using the Unheard city app. The UnheardCity application records the device’s location using its GPS signal while detecting and storing information about Bluetooth Low Energy, WiFi, and mobile phone towers.

“Walking together became a way of putting our collective ears and eyes in the streets in and around Coventry, to explore AI innovations looks, sounds and feels like from the standpoint of this city street.”

– Marres, 2024

The Sense Walk Diagram

Sonification

Sensing the environment can be enhanced by technology. We used the Unheard City app that monitored the radio environment of the street for wifi and bluetooth signals, collecting data and feeding it back as audio. The data was later plotted on maps, and shows interactions between individuals moving through the space, and the data envrironment.

Visit the map at Unheardcity.

Bird's Eye View of the Street's Composition

An audio composition by Derek Nisbet of Talking Birds, using field recordings and audio of participants in the sensing walks to create a portrait of Holyhead Road.

  • [A conversation over the noise of traffic in the street]

    A lot of these things are taking away that control. If you're not driving a car any more, and you're not in control of where you can be as a pedestrian...

    You've got all this messaging coming at you, youv'e got no say really in all this.

    Yeah, you can't not... Like, I can NOT turn on my TV and NOT watch the adverts. I can not... you know...

    Yeah you can't switch this off.

    You can't really.

    It's really intrusive

    It's one of my big bugbears

    So much signage. There used to be a lot of...

    Speed Cameras

    What's the ... I think the

    The speed cameras are always yellow, in these yellow... I think we just passed one behind that sign

    There's one over there as well

    And then it starts changing...

    Really? that's how you get it to change?

    No

    It it

    It turns when

    When the light goes red it starts spinning so you feel it.

    Ahh, so you feel?

    When there's no beepers, that's a way to tell when it's on.

    Right.

    [Birdsong]

    This is some twittering, that's announced the nearby buildings

    [Background music: a plaintive violin melody, folkish and mournful.]

    My gran used to live in the maisonettes at Spon End

    Where the flag... its a kind of a castle tower, no?

    Oh, is that the... the jailhouse?

    Yeah, he painted it.

    Oh is that what it is?

    A gateway...

    A mediaveal wall

    [A loud wooshing as a car passes]

    It's quite a dangerous road to cross

    Sometimes, there so much traffic I can't deal

    [Background Music: The plaintive violin refrain swells]

    I wish I'd bought...

    A music instrument

    Yeah!

    Not just recording

    Then occasionally it'll be a horrible BRRRRR you know the boy racer engines.

    No actually this is kind of...

    Like in lockdown, there was less travelling, what we were hearing

    What we...

    Nice.

    There are long distance whale calls in the ocean that whales have stopped bothering to use, but during the lockdowns they started using them again because there wasn't as much noise, noise pollution, in the ocean. That was a fun but depressing fact.

    It's interesting as well because the starlings near us will pick up the different sounds. Really annoyingly one of the Starlings was mocking the car alarm - and it was, we thought, it sounded like the car alarm kepts going off, and then we realised it was actually the birds have started mimicing the car alarm

    Thats Amazing!

    I didn't know starlings did that

    Yeah they do it a lot.

    We can tell the birds that are from around our garden and those areas because they have the same calls.

    [Violin music fades]

Participants

Huge thanks to all of our participants (Akeel, Carol, Charlie, Dana, Ian, Lisa, Matt, Nirmal, Rhiannon, Sanjay, Steve, and Winter) for making the workshop so fruitful and so enjoyable with their interesting insights and generous, thoughtful contributions.

Thanks to

Talking Birds

The Weaver’s Workshop

Common Ground

The cross-disciplinary Coventry Observatory research team who put this together consists of:

Noortje Marres - Professor in Science, Technology and Society in the Centre for Interdisciplinary Methodologies at the University of Warwick noortjemarres.net

Iain Elmsley - Research Software Engineer, Centre for Interdisciplinary Methodologies unheardcity.org.uk

Yasmin Boudiaf - Researcher and Creative Technologist, yasmine-boudiaf.com

Derek Nisbet - Composer and Theatre Maker, Talking Birds

Janet Vaughn - Designer and Co-Artistic Director, Talking Birds

“The LED messaging screen, it’s light pollution. [..] These days birds sing at night because of light pollution. The lights in the car park are there to protect the cars.”

– Diagramming workshop, Audio recording, participant exchange.

What We Observed

  • Background Pattern of Arrows

    "The technology comes first, people second."

    AI-enabling  communications equipment - such as the GLOSA traffic light - is designed to communicate with other technologies, with cars, with traffic lights, and with some invisible elsewhere, leaving people in the street out of the loop.

    This is not only a matter of the inherent features of AI (as an opaque and intransparent system). This also involves design decisions, as in the Holyhead Road the AI was literally over people's heads. Sensors, AI-enabled cameras and communication devices were installed in the top of traffic lights and lamp posts.

    It aligned with a sense that AI was there to consolidate the dominance of technology over this environment, which is also a residential street.

  • Blue Map with a smart city icon

    "Adding to the clutter"

    AI-enabled communication is perceived as not meaningful. "AI" in the street was described by several participants as only "adding to the clutter."

    This commuter road is already full of signs telling people what to do and what not to do (signs, adverts, announcements, "not asked for"). Several participants suggested that the smart traffic sign, the smart traffic light will only add to this clutter of messages, creating a communications environment where road users feel bossed around.

    A different way of putting this is to say that an integrative design of this communication environment is lacking. 

  • A Speed Camera Warning Sign

    A Language for Interventions?

    In the Holyhead Road, AI in the street is perceived to be about surveillance but certainly is not always about that. Several participants spoke about "being watched" by the AI.

    But this is not always factually correct, as AI-enabled devices such as GLOSA traffic lights are there to facilitate communications between technologies with action-oriented outcomes, such as speed reduction of motor traffic. However this capacity of AI to enable interventions in the street environment did not register much in participant conversations.

    Could this be partly partly because we don't have an easily accessible, everyday language to talk about how technological systems enable intervention in social environments

  • Background Image is a Map of Coventry

    Who Sees Benefits?

    The societal benefits of AI innovation are perceived as abstract and not tangible.

    In the automated vehicle test street, planning permission application notices are hung from lampposts and they describe the benefits of AI innovation for the region, saying the testbed "will bring further investment and innovation to the region from across the world [.] for the benefit of residents and business."

    At the same time, several of the bits of equipment in the Holyhead Road seem to be no longer functional, and to not be maintained effectively. There is a sense the testbed has been installed for audiences in the government and industry, and not for the communities who live and use this street.

“"The cameras in the lampposts, they do not communicate with us, they are above our heads, literally, they communicate with elsewhere […] These boxes are not giving anything, they are just extracting. they seem designed not to draw attention to themselves.”

– NW, Participant.

Further Information and Links

Research Findings in Depth: The Observatories

  • A collage of a polaroid photo of a busy city street

    Cambridge, UK

    What data do disabled people need to move through the street, and how does urban infrastructure interact with the lived experience of access needs?

  • Street Camera

    Coventry, UK

    How does the AI infrastructure needed for autonomous vehicle trials impact other human and more-than-human users of the street - and how might we see and hear the effects?

  • A collage of photos of a black box raised up above a pavement.

    Edinburgh, UK

    Engaging with residents and users of Leith Walk, seeking to capture everyday encounters with AI and understand people’s views of AI’s impact on the street.

  • A Collage of Maz, a greengrocer from Logan, talking about drone delivery. He is on a yellow map of Logan, and overlaid with a mesh of drone icons.

    Logan, AUS

    Logan is one of the world’s largest drone delivery trial sites. But what do locals feel about the presence of commercial and autonomous drone delivery systems in their neighbourhood?

  • Polaroid Image of a Cluttered Street

    London, UK

    How does AI fulfil expectations, desires and requirements in the street, and what complications does it create? Might innovation emerge from community-driven (rather than industry-led) design?