Branding the Face of Online Voice Assistants: Analysis through DiSC Personality Framework

Abstract

In recent years, online assistants were developed as platforms that connect devices using voice as its primary interface. As voice assistant leaders like Amazon and Google develop devices as social robots with personalities that the user can understand and engage with, the personality of the product became closely linked with the perception of its brand identity. Although the personality of the assistant is primarily expressed through voice, visual interface is an important factor that affords feedback, and adds a visual identity to the voice. Hence, the study aims to develop a framework to align visual and voice interface that communicates a consistent personality. The study employed the DiSC personality assessment tool, which centers on four different personality traits: Dominance (D), Influence (I), Steadiness (S), and Conscientiousness (C). Traits from voice and visual interface of popular devices were analyzed and mapped on the double axis of the DiSC model. As this is a preliminary study for future studies previous empirical studies were analyzed. Furthermore, the study provides a future plan for empirical experiment to determine the validity of the framework.

Presenters

Soo Hyun Shin
Doctoral Student, Department of Design, Seoul National University, South Korea

Details

Presentation Type

Online Lightning Talk

Theme

Visual Design

KEYWORDS

Visual Design, Interface Design, Social Robot, Voice User Interface, Personality