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Changes for page Social Robot

Last modified by Shreyas Kota on 2025/10/24 23:23
From version 3.1
edited by Shreyas Kota
on 2025/10/24 23:19
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To version 5.1
edited by Shreyas Kota
on 2025/10/24 23:23
Change comment: There is no comment for this version

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9 9  Pepper's design and capabilities align closely with the needs of our eldercare environment for several key reasons:
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11 -* **Humanoid Embodiment for Social Engagement**: Pepper features a compact humanoid upper body (approximately 1.2m tall) with expressive arms, hands, and an animated tablet display on its chest. This embodiment choice directly supports our task requirements by leveraging the Media Equation theory and anthropomorphic design principles:** **patients naturally respond to humanlike forms with greater trust and social engagement. Research has demonstrated that humanoid robots like Pepper can effectively reduce loneliness in elderly populations (Pandey & Gelin, 2018). The human-scale proportions make Pepper non-intimidating for elderly residents while still being recognizable as a social agent, which is critical for therapeutic alliance building in care settings (Broadbent et al., 2009).
11 +* **Humanoid Embodiment for Social Engagement**: Pepper features a compact humanoid upper body (approximately 1.2m tall) with expressive arms, hands, and an animated tablet display on its chest. This embodiment choice directly supports our task requirements by leveraging the Media Equation theory (Reeves & Nass, 1996) and anthropomorphic design principles:** **patients naturally respond to humanlike forms with greater trust and social engagement. Research has demonstrated that humanoid robots like Pepper can effectively reduce loneliness in elderly populations (Pandey & Gelin, 2018). The human-scale proportions make Pepper non-intimidating for elderly residents while still being recognizable as a social agent, which is critical for therapeutic alliance building in care settings (Broadbent et al., 2009).
12 12  * **Wheeled Mobility Platform**: Pepper's omnidirectional wheeled base enables smooth, autonomous navigation through hallways, communal game rooms, and resident spaces without staff assistance. This mobility solution is specifically chosen over legged locomotion because it provides greater reliability and safety in indoor environments, reduces fall risks from mechanical failures, and requires minimal floor modifications. These are critical considerations given our elderly population and existing facility infrastructure.
13 13  * **Multimodal Interaction Capabilities**: Pepper integrates cameras, microphones, and speakers to enable natural multimodal human-robot interaction. The robot employs facial recognition software to identify patients and staff, supporting personalized interaction based on individual preferences and histories. This addresses human factors requirements for situational awareness and adaptive automation (Parasuraman et al., 2000), as Pepper can detect when residents enter common areas and initiate contextually appropriate conversations.
14 14  * **Emotion Detection and Adaptive Dialogue**: Through its cameras and AI-powered software, Pepper can detect emotional states through facial expressions and vocal tone. This capability allows the robot to adapt its conversation style (e.g., offering encouragement when detecting sadness or celebrating with residents showing positive emotion), directly supporting the emotional support aspect of our operational requirements (Robinson et al., 2014).
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20 20  * **Task Allocation and Workload Management**: By automating routine social engagement activities (leading group exercises, facilitating games, providing reminders), Pepper reduces caregiver cognitive load and allows staff to focus on tasks requiring human judgment and medical expertise.
21 21  * **Transparency and Trust**: Pepper's tablet display provides visual feedback showing its current activity, scheduled events, and recognition status, supporting system transparency. This is a key factor in building trust with elderly users who may have limited experience with robotics (Hancock et al., 2011).
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24 24  **Limitations and Mitigations**
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26 26  While Pepper offers substantial benefits, there are specific limitations:
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49 49  Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and levels of human interaction with automation. //IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans//, 30(3), 286-297. [[https:~~/~~/doi.org/10.1109/3468.844354>>url:https://doi.org/10.1109/3468.844354]]
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51 51  Robinson, H., MacDonald, B., & Broadbent, E. (2014). The role of healthcare robots for older people at home: A review. //International Journal of Social Robotics//, 6(4), 575-591. [[https:~~/~~/doi.org/10.1007/s12369-014-0242-2>>url:https://doi.org/10.1007/s12369-014-0242-2]]
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52 +Reeves, B., & Nass, C. (1996). //The media equation: How people treat computers, television, and new media like real people and places//. Cambridge University Press.