Early-stage simulation and enactment methods accelerate social design for autonomous vehicles

Why It Matters

Autonomous vehicles introduce novel social dynamics in traffic and within the vehicle itself. Proactively designing these social experiences through early-stage modelling and simulation prevents costly reworks and ensures better user acceptance and integration into society.

Key Finding

Early design exploration for autonomous vehicles benefits from methods that are hands-on, allow for role-playing future scenarios, and combine different perspectives, fostering collaboration among diverse teams.

Key Findings

• Methods enabling flexible, contextualized, and concrete idea exploration through tangible objects and enactment were most promising.
• Combinations of methods that allowed shifts between social perspectives were preferred.
• Wizard of Oz and small-scale scenarios proved effective for multidisciplinary team collaboration, fostering a shared understanding of the problem.

Research Evidence

Aim: How can early-stage modelling methods be leveraged to explore and design the social experiences associated with autonomous vehicles?

Method: Workshop-based exploration of design methods

Procedure: A workshop was conducted with 18 participants from academia and industry to explore methods for designing social aspects of autonomous vehicles. Methods included Wizard of Oz, small-scale scenarios, design metaphors, enactment, and peer-to-peer interviews, focusing on the vehicle as a social entity, co-experience within the vehicle, and the user-vehicle relationship.

Sample Size: 18 participants

Context: Design of autonomous vehicle user experience and social integration

Design Principle

Model social interactions through tangible, enacted scenarios in early design phases to uncover and refine user experience.

How to Apply

Use Wizard of Oz simulations or role-playing scenarios to test user reactions to different autonomous vehicle behaviours in traffic or passenger interactions.

Limitations

Effectiveness of methods varied, and the workshop setting may not fully replicate real-world social dynamics.

Student Guide (IB Design Technology)

Simple Explanation: To design how people will interact with self-driving cars, try acting out different situations early on, like pretending to be the car or a passenger, to see what works best.

Why This Matters: This research shows that you don't need a fully built product to understand how people will use and react to it socially. Early simulations can save time and lead to better designs.

Critical Thinking: How might the effectiveness of these modelling methods change depending on the specific social context being designed for (e.g., public transport vs. private ownership)?

IA-Ready Paragraph: Early-stage modelling techniques, such as Wizard of Oz simulations and small-scale scenario enactments, are crucial for exploring the complex social dynamics inherent in emerging technologies like autonomous vehicles. These methods allow for tangible and contextualized idea generation, fostering a deeper understanding of user interactions before significant development investment.

Project Tips

• When simulating user experiences, focus on creating tangible representations of the technology or scenario.
• Combine different simulation methods to explore various facets of the user interaction.

How to Use in IA

• Reference this study when justifying the use of simulation or role-playing methods to explore user interaction with a new product concept.

Examiner Tips

• Demonstrate an understanding of how simulation methods can be used to explore abstract or future concepts.

Independent Variable: Types of modelling methods used (Wizard of Oz, scenarios, metaphors, enactment, interviews)

Dependent Variable: Effectiveness in exploring social aspects, generation of design seeds, collaborative basis

Controlled Variables: Workshop setting, participant background (academia/industry)

Strengths

• Explores a range of relevant early-stage design methods.
• Focuses on the critical social aspects of a future technology.

Critical Questions

• To what extent can these methods predict real-world social acceptance and behaviour?
• How can the insights from these early simulations be effectively translated into concrete design specifications?

Extended Essay Application

• An Extended Essay could investigate the comparative effectiveness of different simulation techniques for designing human-robot interaction in a specific context.

Source

Designing for social experiences with and within autonomous vehicles – exploring methodological directions · Design Science · 2018 · 10.1017/dsj.2018.9