Publications

Little is known about the expectations of older adults (60+ years old) in robot-mediated communication when leaving aside care-related activities. To bridge this gap, we carried out 30 semi-structured interviews with older adults to explore their experiences and expectations related to technology-mediated communication. We present the results of the collected data through personas that portray three archetype users, Conny Connected, Stephan Skeptical, and Thomas TechFan. These personas are presented in a specific communication scenario with individual goals that go beyond mere communication, such as the desire for closeness (Conny Connected), a problem-free experience (Stephan Skeptical), and exploring affordances of telepresence robots (Thomas Tech-Fan). Also, we provide two considerations when aiming at positive experiences for older adults with robots: balance generalizable aspects and individual needs and identify and challenge preconceptions of telepresence robots.

Subjective quality assessment serves as a method to evaluate the perceptual quality of 3D point clouds. These evaluations can be conducted using lab-based or remote or crowdsourcing tests. The lab-based tests are time-consuming and less cost-effective. As an alternative, remote or crowd tests can be used, offering a time and cost-friendly approach. Remote testing enables larger and more diverse participant pools. However, this raises the question of its applicability due to variability in participants' display devices and environments for the evaluation of the point cloud. In this paper, the focus is on investigating the applicability of remote testing by using the Absolute Category Rating (ACR) test method for assessing the subjective quality of point clouds in different tests. We compare the results of lab and remote tests by replicating lab-based tests. In the first test, we assess the subjective quality of a static point cloud geometry for two different types of geometrical degradations, namely Gaussian noise, and octree-pruning. In the second test, we compare the performance of two different compression methods (G-PCC and V-PCC) to assess the subjective quality of coloured point cloud videos. Based on the results obtained using correlation and Standard deviation of Opinion Scores (SOS) analysis, the remote testing paradigm can be used for evaluating point clouds.

A number of factors play an important role in the perception of video quality for streaming and other services, key among them being encoding-related degradations. Hence, newer codecs are developed with the goal of optimizing video quality for a given encoding setting. Here, subjective studies are an efficient method to evaluate the performance of such newer codecs. Furthermore, contextual factors impact the perception of video quality, e.g., the appeal of the content itself. To this end, this paper presents a subjective study targeting both quality and appeal assessment of videos. For this purpose, a subjective study consisting of three different parts is conducted. Firstly, participants were asked to rate the appeal of the uncompressed UHD-1/4K source content with a duration of 8 - 10s each. Following this, the video quality of these source videos individually encoded with either the HEVC/H.265, AV1, or VVC/H.266 video codec was rated. A wide range of encoding conditions in terms of resolution (360p to 2160p) and bitrate (100kbps to 15mbps) is used to encode the videos, so as to enable the applicability of the data to real-world settings. In the last part, subjects are again asked to rate the appeal of the uncompressed source content. The results are analyzed to assess the impact of different encoding conditions on perceived video quality. In addition, the impact of appeal on video quality and vice-versa is also investigated. Furthermore, an objective quality assessment with different state-of-the-art full-reference, bitstream-based, and hybrid models including the newer codecs AV1 and VVC is presented. The subjective dataset including test design, subjective results, sources, and encoded audiovisual contents are made publicly available following an open science approach.

In an aging society, the social needs of older adults, such as regular interactions and independent living, are crucial for their quality of life. However, due to spatial separation from their family and friends, it is difficult to maintain social relationships. Our multidisciplinary project, CO-HUMANICS, aims to meet these needs, even over long distances, through the utilization of innovative technologies, including a robot-based system. This paper presents the first prototype of our system, designed to connect family members or friends virtually present through a mobile robot with an older adult. The system incorporates bi-directional video telephony, remote control capabilities, and enhanced visualization methods. A comparison is made with other state-of-the-art robotic approaches, focusing on remote control capabilities. We provide details about the hard- and software components, e.g., a projector-based pointing unit for collaborative telepresence to assist in everyday tasks. Our comprehensive scene representation is discussed, which utilizes 3D NDT maps, enabling advanced remote navigation features, such as autonomously driving to a specific object. Finally, insights about past and concepts for future evaluation are provided to assess the developed system.

Previous studies have explored the perception of various types of embodied avatars in immersive environments. However, the impact of eye and face tracking with personalized avatars is yet to be explored. In this paper, we investigate the impact of eye and face tracking on embodiment, enfacement, and the uncanny valley with four types of avatars using a VR-based mirroring task. We conducted a study (N=12) and created self-avatars with two rendering styles: a cartoon avatar (created in an avatar generator using a picture of the user’s face) and a photorealistic scanned avatar (created using a 3D scanner), each with and without eye and face tracking and respective adaptation of the mirror image. Our results indicate that adding eye and face tracking can be beneficial for certain enfacement scales (belonged), and we confirm that compared to a cartoon avatar, a scanned realistic avatar results in higher body ownership and increased enfacement (own face, belonging, mirror) - regardless of eye and face tracking. We critically discuss our experiences and outline the limitations of the applied hardware and software with respect to the provided level of control and the applicability for complex tasks such as displaying emotions. We synthesize these findings into a discussion about potential improvements for facial animation in VR and highlight the need for a better level of control, the integration of additional sensing and processing technologies, and an objective metric for comparing facial animation systems.