Localization of an Intelligent Assistant for Sweden and Japan


One of my most recent projects was the localization of an intelligent assistant for use at airports in Sweden and Japan. My team did a questionnaire survey, as well as interviews with digital strategy experts. They were asked to evaluate the prototypes that we created.

Title page of the web-based survey

Title page of the web-based survey

Motivation

I wanted to focus on the area of the internet of things and interface localization/standardization. The study used software from Stanford University and was inspired by the InfoGate project at the Munich Airport, which tests the idea of virtual airport assistants already.

Localization Problem

Face to face interaction with intelligent assistants is a very personal experience, similar to human-to-human interaction. Cultural norms have to be followed in addition to making sure the agent gives the right answer. It is an emerging area of research to provide hints on the localization of the digital assistants.

Approach

The study consisted of two parts, an online crowd-sourced survey of user attitudes and preferences when interacting with the virtual airport assistants. The survey was accompanied by a live demo, which we prepared so that the users could try themselves interacting with different kinds of service agents.

The prototype of an airport service agent
The prototype of an airport service agent

In the second part, we did semi-structured interviews with digital strategy experts in both countries to shed some light on the quantitative survey results. We discussed issues like trust and privacy, and overall attitudes to the new technology.

Results

At the end, we obtained an ideal prototype of the virtual airport agent for both countries and a set of recommendations for designing such information systems in the future.
PLS Structural Model for Sweden
PLS Structural Model for Sweden

PLS Structural Model for Japan
PLS Structural Model for Japan

Peter, MBA, MSc, is a Product Manager, Software Engineer, and Tech Strategist who leverages a rare combination of software development, quantitative, and soft skills to create smart technology with a human touch. Most importantly, he is vision-driven, globally-minded change agent who is multilingual, has studied abroad, and has traveled extensively. Within six years’ time, he has developed an array of mobile apps and data-driven app products. Peter’s most recent ventures include a mobile app for property valuation and an end-to-end solution for real estate data collection.

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