Tech Papers 2021: This paper proposes a TV-watching companion robot that generates questions from program content to stimulate conversation, with experiments showing it enhances communication and creates a more engaging viewing experience.
Abstract
Viewing TV with family and friends makes the experience more enjoyable. Recently, as more people watch TV programs on their mobile devices via the Internet, opportunities to watch TV in groups are decreasing. We propose a companion robot to enhance human communication during the TV-viewing experience. The robot extracts keywords from the video, audio, and subtitle data of the TV program being watched, generates utterances from the keywords, and asks people questions related to the TV program. Viewers can chat with the robot, triggered by its questions. To confirm the utility of the robot, we conducted an experiment in which users watched TV with the robot. Results indicate that over 70% of the participants responded that the robot "promoted active conversations among people” and "created a more relaxed atmosphere." Thus, our study demonstrates that a TV-watching robot can create novel and rich media experiences and stimulate communication among people.
Exclusive Content
This article is available with a Technical Paper Pass
Dynamic power control for sustainable broadcast transmitter networks
Tech Papers 2026: This paper proposes an approach that uses predictive modelling in combination with real-time interference monitoring to optimise transmitter powers dynamically, with minimal impact on the consumer.
AI-driven anonymisation that preserves human performance
Tech Papers 2026: This paper presents two AI-driven workflows designed to preserve emotional nuance while ensuring anonymity.
Search first, inspect visually when needed: A multi-agent architecture for semantic video archival retrieval
Tech Papers 2026: This paper introduces Smart Chat, a multi-agent video question-answering system that searches indexed video moments, localizes candidate evidence, and inspects a short clip only when visual verification is needed.
A standardised framework for C2PA provenance in media workflows
Tech Papers 2026: This paper presents the first standardised framework for implementing C2PA for media provenance across newsrooms of varying sizes and operational contexts.
Dynamic streaming content packaging with C2PA
Tech Papers 2026: This paper presents an implementation of the approach adopted by C2PA for live video to dynamic packaging.