Users and Wizards in Conversations: How WoZ Interface Choices Define Human-Robot Interactions

TL;DR

This study examines how different Wizard-of-Oz interfaces influence human-robot communication, highlighting VR's advantages in user preference and social connection despite increased wizard demands.

Contribution

It compares three WoZ interfaces, demonstrating VR's effectiveness in enhancing social presence and interaction quality in human-robot conversations.

Findings

VR interface was preferred by users for social presence.

VR increased social connection and interaction flow.

Restricted GUI led to less connected interactions with more silences.

Abstract

In this paper, we investigated how the choice of a Wizard-of-Oz (WoZ) interface affects communication with a robot from both the user's and the wizard's perspective. In a conversational setting, we used three WoZ interfaces with varying levels of dialogue input and output restrictions: a) a restricted perception GUI that showed fixed-view video and ASR transcripts and let the wizard trigger pre-scripted utterances and gestures; b) an unrestricted perception GUI that added real-time audio from the participant and the robot c) a VR telepresence interface that streamed immersive stereo video and audio to the wizard and forwarded the wizard's spontaneous speech, gaze and facial expressions to the robot. We found that the interaction mediated by the VR interface was preferred by users in terms of robot features and perceived social presence. For the wizards, the VR condition turned out to be the most demanding but elicited a higher social connection with the users. VR interface also induced the most connected interaction in terms of inter-speaker gaps and overlaps, while Restricted GUI induced the least connected flow and the largest silences. Given these results, we argue for more WoZ studies using telepresence interfaces. These studies better reflect the robots of tomorrow and offer a promising path to automation based on naturalistic contextualized verbal and non-verbal behavioral data.