RISE: an open-source architecture for interdisciplinary and reproducible human-robot interaction research.

In this article, we present RISE-a obotics ntegration and cenario-Management xtensible-Architecture-for designing human-robot dialogs and conducting (HRI) studies. In current HRI research, interdisciplinarity in the creation and implementation of interaction studies is becoming increasingly important. In addition, there is a lack of reproducibility of the research results.

Scaffolding the human partner by contrastive guidance in an explanatory human-robot dialogue.

Explanation has been identified as an important capability for AI-based systems, but research on systematic strategies for achieving understanding in interaction with such systems is still sparse. Negation is a linguistic strategy that is often used in explanations. It creates a contrast space between the affirmed and the negated item that enriches explaining processes with additional contextual information.

A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment.

This paper presents a framework for learning event sequences for anomaly detection in a smart home environment. It addresses environment conditions, device grouping, system performance and explainability of anomalies. Our method models user behavior as sequences of events, triggered by interaction of the home residents with the Internet of Things (IoT) devices.

A Multi-Directional and Agile Academic Knowledge Transfer Strategy for Healthcare Technology.

Technology, especially cognitive agents and robots, has significant potential to improve the healthcare system and patient care. However, innovation within academia seldomly finds its way into practice. At least in Germany, there is still a digitalization gap between academia and healthcare practice and little understanding of how healthcare facilities can successfully purchase, implement, and adopt new knowledge and technology.

[The COVID-19 Pandemic as an Opportunity for Teletherapy? - A Survey of non-medical therapy professionals in the health sector].

Objective: The aim of the study was to investigate the use of teletherapy during the corona pandemic by three non-medical therapy professionals in the health sector.

Method: As part of a questionnaire-based online survey, 282 participants from the field of ergotherapy, physiotherapy and speech therapy were asked about usage behavior, challenges, potentials, and general conditions of teletherapy.

Results: Especially ergo and speech therapists used teletherapy during the corona pandemic.