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HCI Deep Dives
Kai Kunze
47 episodes
1 month ago
HCI Deep Dives is your go-to podcast for exploring the latest trends, research, and innovations in Human Computer Interaction (HCI). Auto-generated using the latest publications in the field, each episode dives into in-depth discussions on topics like wearable computing, augmented perception, cognitive augmentation, and digitalized emotions. Whether you’re a researcher, practitioner, or just curious about the intersection of technology and human senses, this podcast offers thought-provoking insights and ideas to keep you at the forefront of HCI.
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All content for HCI Deep Dives is the property of Kai Kunze and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
HCI Deep Dives is your go-to podcast for exploring the latest trends, research, and innovations in Human Computer Interaction (HCI). Auto-generated using the latest publications in the field, each episode dives into in-depth discussions on topics like wearable computing, augmented perception, cognitive augmentation, and digitalized emotions. Whether you’re a researcher, practitioner, or just curious about the intersection of technology and human senses, this podcast offers thought-provoking insights and ideas to keep you at the forefront of HCI.
Show more...
Science
Education
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ISMAR 2024 Perceived Empathy in Mixed Reality: Assessing the Impact of Empathic Agents’ Awareness of User Physiological States
HCI Deep Dives
14 minutes 50 seconds
9 months ago
ISMAR 2024 Perceived Empathy in Mixed Reality: Assessing the Impact of Empathic Agents’ Awareness of User Physiological States
Z. Chang et al., "Perceived Empathy in Mixed Reality: Assessing the Impact of Empathic Agents’ Awareness of User Physiological States," 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Bellevue, WA, USA, 2024, pp. 406-415, doi: 10.1109/ISMAR62088.2024.00055. https://doi.org/10.1109/ISMAR62088.2024.00055 In human-agent interaction, establishing trust and a social bond with the agent is crucial to improving communication quality and performance in collaborative tasks. This paper investigates how a Mixed Reality Agent’s (MiRA) ability to acknowledge a user’s physiological state affects perceptions such as empathy, social connectedness, presence, and trust. In a within-subject study with 24 subjects, we varied the companion agent’s awareness during a mixed-reality first-person shooting game. Three agents provided feedback based on the users’ physiological states: (1) No Awareness Agent (NAA), which did not acknowledge the user’s physiological state; (2) Random Awareness Agent (RAA), offering feedback with varying accuracy; and (3) Accurate Awareness Agent (AAA), which provided consistently accurate feedback. Subjects reported higher scores on perceived empathy, social connectedness, presence, and trust with AAA compared to RAA and NAA. Interestingly, despite exceeding NAA in perception scores, RAA was the least favored as a companion. The findings and implications for the design of MiRA interfaces are discussed, along with the limitations of the study and directions for future work. https://ieeexplore.ieee.org/document/10765390
HCI Deep Dives
HCI Deep Dives is your go-to podcast for exploring the latest trends, research, and innovations in Human Computer Interaction (HCI). Auto-generated using the latest publications in the field, each episode dives into in-depth discussions on topics like wearable computing, augmented perception, cognitive augmentation, and digitalized emotions. Whether you’re a researcher, practitioner, or just curious about the intersection of technology and human senses, this podcast offers thought-provoking insights and ideas to keep you at the forefront of HCI.