How to Use Spatial Computing with AI Assistants for Smarter Interactive Experiences

Introduction: Why spatial computing is reshaping AI assistants

Over the past few months, we’ve witnessed a convergence betweenspatial computingandAI assistants. Platforms likeArm Total Design for Physical AIand new robotic frameworks are pushing artificial intelligence beyond the screen, while solutions likeCoca-Cola AIandGradium Voice Designhighlight the critical role of optimized prompts and realistic synthetic voices in real-world applications.

If you’re wonderinghow to harness these technologies today, this article will guide you through the latest trends, practical examples of prompt engineering, and a concrete code example for integrating an AI assistant into a spatial environment.

Current trends merging spatiality and artificial intelligence

1. Arm Total Design for Physical AI and the new robotic framework

• Unified standards: Arm has launched a hardware-software framework that simplifies the creation of robots with spatial perception capabilities.
• Impact on assistants: Chatbots can now control physical devices (e.g., mobile robots) using the same prompt system as text-based interfaces.
• Case study: Automation teams are adoptingArm Total Designto develop assistants that can navigate 3D environments, perform manipulation tasks, and provide tactile feedback.

2. Coca-Cola uses AI to optimize retailer orders in Malaysia

• Platform: Coke Buddy combines predictive analytics with a conversational assistant that suggests product quantities and types.
• Spatial features: The system maps retail locations onto a 2D/3D grid and displays real-time stock data, helping retailers make decisions based on situational awareness.
• Lesson learned: Clear, context-based prompts, such as"Show projected stock levels for store 342 over the next 48 hours", significantly improve usability.

3. Gradium launches Voice Design: Generate a synthetic voice from a prompt in seconds

• Speed: In seconds, you can create a custom voice that respects brand tone and linguistic nuances.
• Spatial integration: Assistants using these voices can adapt to AR/VR interfaces, providing contextual guidance as users move through space.
• Prompt example:"Create a warm female voice, ideal for an AI assistant providing guidance in a retail store".

Designing effective prompts for spatial interfaces

When an AI assistant operates in a 3D environment, the prompt must include explicit spatial references, contextual hierarchy, and multi-channel cues (text, voice, visuals). Here’s a prompt optimization checklist:

• Add coordinates or positional references"Show the product location on the left shelf, middle level".
• Define the channel"Respond with a brief summary and a voice direction".
• Include temporal constraints"Provide a real-time estimate for the next 30 minutes".
• Use structured language

Example prompt for an assistant in an augmented reality environment

Prompt: "Show the exact distance from the 'Café' point of interest (lat: 45.4642, lon: 9.1896) and indicate the shortest direction using natural language. Include a brief voice note if the distance is less than 10 meters."
Expected response: {"distance_meters": 8, "direction": "north-east", "voice_note": "You're almost at the Café. Turn right after the ATM."}

Practical example: Integrating a spatial AI assistant into Unity

Beyond understanding trends, building a prototype is valuable. Below is an example Unity (C#) code that uses an LLM to generate contextual descriptions based on the user’s location.

using System.Collections;
using UnityEngine;
using OpenAI;

public class SpatialAssistant : MonoBehaviour
{
    [SerializeField] private Transform playerCamera;
    [SerializeField] private float interactionDistance = 5f;
    private OpenAIService openAI;

    IEnumerator Start()
    {
        openAI = new OpenAIService("your-api-key");
        yield return null;
    }

    void Update()
    {
        if (Input.GetKeyDown(KeyCode.E))
        {
            StartCoroutine(QuerySpatialAssistant());
        }
    }

    IEnumerator QuerySpatialAssistant()
    {
        Vector3 playerPos = playerCamera.position;
        RaycastHit hit;
        if (Physics.Raycast(playerCamera.transform, playerCamera.transform.forward, out hit, interactionDistance))
        {
            string objectName = hit.collider.name;
            string prompt = $"Describe {objectName} in a friendly way for a user exploring it. Include details about its function and usage."; 
            openAI.CompleteAsync(new CompleteRequest {
                Prompt = prompt,
                MaxTokens = 150
            }, response => {
                Debug.Log($"Assistant: {response.Choices[0].Text}");
            });
        }
    }
}

This script performs a raycast from the player’s camera, sends a prompt with the detected object’s name to an LLM, and logs the response (in production, this could be turned into a UI prompt or voice guide).

Best practices and key takeaways

• Use explicit, coordinate-based promptsto reduce ambiguity in 3D environments.
• Combine synthetic voices(Gradium) with spatial cues for more natural navigation.
• Leverage new hardware-software frameworkslike Arm Total Design when physical-digital interaction is required.
• Design for multi-channel: text, voice, and visual cues must be consistent.
• Test with real usersin AR/VR scenarios to optimize prompt relevance.

Conclusion: The future of AI assistants is three-dimensional

If you adopt structured, coordinate-based prompt engineering, integrate realistic voices, and leverage unified hardware stacks, you’ll transform any AI assistant into a truly spatial partner. The time to start is now.

IMPORTANT: It is 2026. All temporal references must be current. Do not mention past years such as 2024, 2023, etc. The content must be fresh and relevant to the present. CURRENT CONTEXT (September 2026): Here are some recent trends and news stories to inspire you: - Coca-Cola uses AI to improve retailer ordering in Malaysia: Coca-Cola is using AI to recommend which products Malaysian retailers should order and in what quantities through its Coke Buddy platform. The Perfect... [2026-09-08] - AI weather forecasting enters the energy market as Google targets grid operators with WeatherNext 3: Google's newest AI weather forecasting model predicts wind speed at 100 metres above the ground, roughly the height of a modern wind turbine. It als... [2026-09-08] - LandingAI Releases Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity: LandingAI has shipped Agentic Document Extraction Gen2, a rebuild of its document stack on the DPT-3 model family. Chunks are retired in favor of a do... [2026-09-10] Use this current information as inspiration to create an original and relevant prompt for 2026.