Christ, Oliver

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Christ, Oliver

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  • Publikation
    Job relevance or perceived usefulness? What features of immersive virtual reality software predict intention to use in a future project-based-learning scenario: a mixed method approach
    (Frontiers Research Foundation, 14.12.2023) Travaglini, Alessio; Brand, Esther; Meier, Pascal; Christ, Oliver [in: Frontiers in Virtual Reality]
    Not only since COVID-19, the topic of decentralized working and learning methods is becoming increasingly important for various reasons. New virtual reality technologies enable learning in immersive scenarios, which is good when learning from home is advised. However, not all immersive Virtual Reality (iVR) training incorporates learning systems that support complex, realistic, practical tasks that lead to a product or enable acquiring knowledge and life-enhancing skills like project-based learning. Although there are many iVR applications available that support project management, the specific features of these applications that lead to the intention to use (and therefore life-enhancing skills) have yet to be discovered. In this exploratory mixed-method study, we investigated the question of the importance of perceived usefulness (PU) and job relevance (JR) as predictors of intention to use (ItU) in a selection of immersive iVR application features. We started with market research and aggregated 88 software features in 13 categories of 34 professional iVR applications. After an expert selection and ranking procedure, a survey was developed. After deriving from the TAM 2 model and with a sample n = 103, we computed the relationship of JR, PU, and ItU. Although high values were generally observed, we found that the importance of PU is higher than JR when it comes to ItU. Limitations of the study are discussed, and suggestions for further research are given.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Embodiment, Presence, and Their Intersections: Teleoperation and Beyond
    (ACM, 05/2020) Christ, Oliver; Beckerle, Philipp; Abbink, David A.; Nostadt, Nicolas [in: ACM Transactions on Human-Robot Interaction]
    Subjective experience of human control over remote, artificial, or virtual limbs has traditionally been investigated from two separate angles: presence research originates from teleoperation, aiming to capture to what extent the user feels like actually being in the remote or virtual environment. Embodiment captures to what extent a virtual or artificial limb is perceived as one’s own limb. Unfortunately, the two research fields have not interacted much. This survey intends to provide a coherent overview of the literature at the intersection of these two fields to further that interaction. Two rounds of systematic research in topic-related databases resulted in 414 related articles, 14 of which satisfy the deliberately strict inclusion criteria: 2 theoretical frameworks that highlighted intersections and 12 experimental studies that evaluated subjective measures for both concepts. Considering the surrounding literature as well, theoretical and experimental potential of embodiment and presence are discussed and suggestions to apply them in teleoperation research are derived.While increased publication activity is observed between 2016 and 2018, potentially caused by affordable virtual reality technologies, various open questions remain. To tackle them, human-in-the-loop experiments and three guiding principles for teleoperation system design (mechanical fidelity, spatial bodily awareness,and self-identification) are suggested
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    The Bayesian causal inference model benefits from an informed prior to predict proprioceptive drift in the rubber foot illusion
    (Springer, 21.08.2019) Schürmann, Tim; Vogt, Joachim; Christ, Oliver; Beckerle, Philipp [in: Cognitive Processing]
    Bayesian cognitive modeling has become a prominent tool for the cognitive sciences aiming at a deeper understanding of the human mind and applications in cognitive systems, e.g., humanoid or wearable robotics. Such approaches can capture human behavior adequately with a focus on the crossmodal processing of sensory information. We investigate whether the Bayesian causal inference model can estimate the proprioceptive drift observed in empirical studies.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Household participation in an urban photovoltaic project in Switzerland: Exploration of triggers and barriers
    (Elsevier, 02/2018) Koch, Julia; Christ, Oliver [in: Sustainable Cities and Society]
    Evaluation von Hindernissen und Anreizen für die Partizipation an einem lokalen und regenerativ-gespeisten Energieprojekt/-Produkt
    01A - Beitrag in wissenschaftlicher Zeitschrift