DEEPER STUDY / Honda / 2013
Sound of Honda / Ayrton Senna 1989
Historic telemetry is translated into sound and light so an invisible data capability becomes an emotional experience.
AI-assisted research and analysis for the SNS Creative Fieldbook
Sources reviewed 6 November 2026
The original campaign creators did not write or endorse this analysis.
Original campaign credits: Agency: Dentsu Tokyo; Production: Rhizomatiks, Qosmo and credited specialist partners.
Recognition: No award claim is made in this study.
Launch / edition: 2013. Award years: No award claim.
The problem. The idea. The experience.
Explain the potential of driving data.
How the idea came to life
Historic telemetry controls reconstructed sound and light at Suzuka.
How it reached people
Short film, making-of film, interactive 3D web content and app.
Supporting sources: official contemporary brand account → campaign archive →
Read the data in context.
The numbers below describe different kinds of outcomes. Their date, scope and reporting source are part of the result.
Reconstruction documented; navigation adoption or sales effect not established.
Read the campaign story
The title contains 1989, but the campaign belongs to 2013. Honda used recorded data from Ayrton Senna's qualifying lap at Suzuka to reconstruct an experience of that drive through sound and light. The car did not need to race around the circuit again for the audience to follow its path. The project made stored driving information emotionally legible, linking Honda's data capabilities with a moment that carried significance for motorsport audiences.
Honda's contemporary account describes analysing engine and accelerator behaviour from the historic data, recording engine sounds with the McLaren-Honda MP4/5 and arranging speakers and LED lights around Suzuka. A short film showed the reconstructed trajectory, while a making-of film explained the process. Related web content offered a three-dimensional view. Dentsu's campaign archive frames the work as an explanation of the potential behind Honda's Internavi driving-data technology. The sound was reconstructed using data and recordings, not recovered as an untouched audio recording of the original lap.
The creative mechanism is to translate an abstract record into a sensory event. Data points usually require a chart and explanation; here their timing and location become something an audience can hear and follow. The absence of a moving car is important because it keeps attention on what the information can recreate. This is not nostalgia added to a technical claim. The historic material supplies the emotional reason to examine the technology at all.
A smaller organisation can apply the principle to an archive it has permission to use. A museum could turn a documented journey into a timed light sequence, or a service business could visualise how an order moves through its operation. The transformation should preserve the source's meaning, make uncertainty visible and include a plain explanation. Attractive sensory output can otherwise make an approximate reconstruction feel more authoritative than the evidence allows.
The case does not establish a measurable increase in navigation subscriptions or vehicle sales. It also should not be presented as a live performance by Senna or a literal replay of every physical detail. Its value is a disciplined relationship between evidence and experience: choose data with a story worth recovering, translate only what it supports, and show enough of the method that the audience can distinguish reconstruction from invention.
Choose meaningful data
Begin with a record that carries a human reason to care.
Explain the transformation
Show what is measured, reconstructed and artistically interpreted.
Keep the method visible
Provide a plain account alongside the sensory experience.
A small test for another brief
Translate a permitted non-sensitive operational dataset into a simple timed visual.
Correct understanding of the data and recognition of reconstruction limits.
Stop if the visual implies precision or events absent from the source.
- Choose a dataset with a clear human story and known limitations.
- Map each visual change to an explained data value.
- Publish the method and compare audience understanding with a plain chart.
Sources & further reading.
These are educational analyses of external campaigns, not SNS client projects. Source-backed campaign details, editorial interpretation and proposed tests are distinguished. Brand and campaign-entry reports are not independent causal audits.
- Honda: Sound of Honda / Ayrton Senna 1989 →official contemporary brand account · Supports: 2013 project, historic data, recreated sound, lights, film and 3D content.
- The One Club: Sound of Honda →campaign archive · Supports: Internavi objective, reconstruction process and Dentsu/production credits.