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Wiki source code of b. Use Case with Claims

Version 13.1 by Trustin Ang on 2025/04/10 19:57
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2 |(% style="width:166px" %)**Objective**|(% style="width:653px" %)(((
3 Helping PwD reinforce their long-term memory using reminiscence games.
4 )))
5 |(% style="width:166px" %)**TDP**|(% style="width:653px" %)
6 |(% style="width:166px" %)**IDP**|(% style="width:653px" %)
7 |(% style="width:166px" %)**Actors**|(% style="width:653px" %)Family members, Robot and PwD.
8 |(% style="width:166px" %)**Pre-Condition**|(% style="width:653px" %)(((
9 * The family members have distinctive happy memories with the PwD to share.
10 * The family members can speak and is willing to let the AI model to train their voice.
11 * The PwD can see, listen, and is not disabled in motor ability to interact with the robot.
12 * In early stage of dementia, PwD is willing to share memories.
13 * All actors are willing to share their data with the AI models.
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15 |(% style="width:166px" %)**Post-Condition**|(% style="width:653px" %)(((
16 * The PwD has reinforced its happy long-term memories.
17 * The PwD has a better memory of its family members.
18 * The Robot has learned more about the interaction with the PwD, which will be used to finetune its input and output.
19 )))
20 |(% style="width:166px" %)**Action Sequence**|(% style="width:653px" %)(((
21 ~1. The Robot stands in its base
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23 2. The Robot drives to the PwD during a time where the PwD has no activities and is just chilling. Watching TV etc.
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25 3. The Robot activates the interaction sequence in 2d Interaction Design Pattern.
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27 4. The Robot drives away and rests in its base position.
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30 |(% style="width:180px" %)**Claims (title)**|(% style="width:289px" %)**Function**|(% style="width:247px" %)**Effect(s)**|(% style="width:348px" %)**Action Sequence Step(s)**
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32 CL1: PwD will engage more with the usage of emotion adaptability
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34 //It can have any emotion, is purely focused on the quantity. //
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36 • Enable emotional communication for Persons with Dementia (PwD) through multimodal interaction (read, listen, see).
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38 • Support quantity-based emotional expressions via robot interaction.
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40 • Act as a responsive interface for emotional feedback.
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42 • Increased emotional engagement for PwD.
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44 • Improved attention and participation in interaction due to adaptable emotions.
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46 • Enhanced communication through visual, auditory, and textual feedback.
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50 ~1. Robot detects presence of PwD.
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52 2. Robot initiates interaction using adaptive emotional tone (e.g., happy, calm).
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54 3. PwD engages through reading, listening, or observing the emotion.
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56 4. PwD responds through verbal, physical, or emotional cues.
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58 5. Robot adjusts emotion in real-time to maintain engagement.
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60 6. Interaction logs engagement level based on frequency/quantity of response.
61 )))
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63 CL2: The emotions will be more positive with the usage of emotion adaptability.
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65 //Time does not matter, only the interaction before and interaction after with the AffectButton//
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67 • Allow PwD or caregiver to use AffectButton to register emotional feedback.
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69 • Use emotion adaptability to enhance pre- and post-interaction emotion quality.
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74 • Clearer emotional input from user before and after interaction.
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76 • System adapts based on emotional shift, improving tailored response.
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78 • Emotional states become trackable for care improvement over time.
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80 ~1. User presses AffectButton to indicate pre-interaction emotion.
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82 2. Robot adjusts emotional tone accordingly.
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84 3. Interaction (e.g., conversation, storytelling) occurs.
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86 4. User presses AffectButton again to show post-interaction emotion.
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88 5. System compares pre/post feedback for adaptability scoring.
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90 6. Emotional response parameters updated for future sessions.
91 )))
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93 CL3: The emotions will be more positive with the usage of AI-voice of relatives.
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98 • Use AI-generated voice to convey a wide range of emotional tones.
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100 • Support natural, adaptive dialogue for improved user comfort.
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102 • More human-like, emotionally resonant interaction.
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104 • Improved clarity and engagement for auditory learners or visually impaired users.
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106 • Boosts trust and connection between PwD and robot.
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108 ~1. Robot initiates speech using AI voice from family members with selected emotional tone (e.g., soothing).
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110 2. PwD responds verbally or non-verbally.
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112 3. AI voice adjusts in real time based on detected cues (e.g., tone, facial expression).
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114 4. Emotional tone enhances rapport and responsiveness during activity.
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116 5. Session ends with AI voice summarizing or giving emotional closure.
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118 6. Voice tone data logged for adaptation in future sessions.
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