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Mind perception affects how individuals perceive non-human entities (Gray & Wegner, 2012). While ... more Mind perception affects how individuals perceive non-human entities (Gray & Wegner, 2012). While humans are perceived as having both high experience (ability to feel) and high agency (ability to think), robots are typically seen as having low experience and a moderate level of agency. Inducing anthropomorphic features will lead to an increase in both components. Imbuing robots with a higher level of agency will however also lead to a higher perceived responsibility which, in the event of errors, causes the robot to be rejected. Whereas a higher level of experience leads to sympathy with the robot and forgiveness (Yam et al., 2020). The aim should therefore be to identify factors that primarily affect the evaluation of the experience component. We assume that inducing affective communication via speech is one of these factors. Speech can be divided into two components (James et al., 2020). First, the verbal component, which includes the world level and determines the lexical features...
The aim of this study is to find out whether certain combinations of robot attributes are more or... more The aim of this study is to find out whether certain combinations of robot attributes are more or less preferred for the care context.
In a laboratory study, we will investigate whether social loafing is present in collective workin... more In a laboratory study, we will investigate whether social loafing is present in collective working compared to coactive working. Participants work with a human team partner. The performed task is similar to the work in an industrial context. Bags must be filled with cotton balls. In the coactive condition, the filled bags are placed in separate boxes (participants know that individual performance is identifiable). In the collective condition, the filled bags are placed in a shared box (participants think that individual performance is not identifiable).
Wearable devices have gained high popularity in the last years, especially for health monitoring.... more Wearable devices have gained high popularity in the last years, especially for health monitoring. Some devices aim at identifying mental states, but scientific studies on the potential of wearable devices for identifying mental states are rather sparse. Heart rate parameters proved to be valuable indicators for increasing mental workload and growing levels of physical activity. The question arises, if wearable devices can be used to identify high mental workload in different physiological activity conditions. Thirty-two participants (18 female) participated in an experiment with a 2 (mental workload) x 4 (physiological activity) factorial within-subject design. Participants sat, stood, stepped or cycled while they fulfilled either no secondary task (5 minutes) or a counting backwards task (5 minutes). Heart Rate was measured via a wrist-worn mobile device and a stationary device. Results showed that measurements of the two devices did not correlate consistently. Heart Rate and Inter-Beat Intervals, measured via the stationary device differed significantly with varying levels of physical activity and mental workload. Data from the wearable device showed only the physical activity effect. Findings indicate that wearable devices are not fully capable of identifying mental workload. Still, wearable devices have potential for identifying and fostering reduction of high physical load in everyday usage.
Computers in Human Behavior, 2021
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2021
Mind perception affects how individuals perceive non-human entities (Gray & Wegner, 2012). While ... more Mind perception affects how individuals perceive non-human entities (Gray & Wegner, 2012). While humans are perceived as having both high experience (ability to feel) and high agency (ability to think), robots are typically seen as having low experience and a moderate level of agency. Inducing anthropomorphic features will lead to an increase in both components. Imbuing robots with a higher level of agency will however also lead to a higher perceived responsibility which, in the event of errors, causes the robot to be rejected. Whereas a higher level of experience leads to sympathy with the robot and forgiveness (Yam et al., 2020). The aim should therefore be to identify factors that primarily affect the evaluation of the experience component. We assume that inducing affective communication via speech is one of these factors. Speech can be divided into two components (James et al., 2020). First, the verbal component, which includes the world level and determines the lexical features...
The aim of this study is to find out whether certain combinations of robot attributes are more or... more The aim of this study is to find out whether certain combinations of robot attributes are more or less preferred for the care context.
In a laboratory study, we will investigate whether social loafing is present in collective workin... more In a laboratory study, we will investigate whether social loafing is present in collective working compared to coactive working. Participants work with a human team partner. The performed task is similar to the work in an industrial context. Bags must be filled with cotton balls. In the coactive condition, the filled bags are placed in separate boxes (participants know that individual performance is identifiable). In the collective condition, the filled bags are placed in a shared box (participants think that individual performance is not identifiable).
Wearable devices have gained high popularity in the last years, especially for health monitoring.... more Wearable devices have gained high popularity in the last years, especially for health monitoring. Some devices aim at identifying mental states, but scientific studies on the potential of wearable devices for identifying mental states are rather sparse. Heart rate parameters proved to be valuable indicators for increasing mental workload and growing levels of physical activity. The question arises, if wearable devices can be used to identify high mental workload in different physiological activity conditions. Thirty-two participants (18 female) participated in an experiment with a 2 (mental workload) x 4 (physiological activity) factorial within-subject design. Participants sat, stood, stepped or cycled while they fulfilled either no secondary task (5 minutes) or a counting backwards task (5 minutes). Heart Rate was measured via a wrist-worn mobile device and a stationary device. Results showed that measurements of the two devices did not correlate consistently. Heart Rate and Inter-Beat Intervals, measured via the stationary device differed significantly with varying levels of physical activity and mental workload. Data from the wearable device showed only the physical activity effect. Findings indicate that wearable devices are not fully capable of identifying mental workload. Still, wearable devices have potential for identifying and fostering reduction of high physical load in everyday usage.
Computers in Human Behavior, 2021
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2021