PRE2024 3 Group9: Difference between revisions

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== User requirements ==
== User requirements ==
'''User requirements + articles'''
1.    '''Low-impact dance movements for elderly users'''
1.    '''Low-impact dance movements for elderly users'''


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'''Personalized music'''  
'''Personalized music'''  


Personalised music interventions could include using favourite genres and songs to improve mood in older users, especially those with stroke or dementia. The robot will facilitate music sessions that are personalised to evoke positive emotional responses that improve mood. Teppo Särkämö's research proves that personalised music, especially well-known and favourite songs, plays a crucial role in improving the mood and emotional well-being of elderly people <ref>Särkämö, T. (Year). ''Music for the ageing brain: Cognitive, emotional, social, and neural benefits of musical leisure activities in stroke and dementia''. Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki. content</ref>. Such interventions take advantage of the very close emotional relationships users have with music they like, and activate positive memories and feelings that are exceptionally strong for improving mood.  It emphasizes that familiar music evokes stronger emotional responses and activates reward circuits in the brain more effectively than unfamiliar music.
Personalised music interventions could include using favourite genres and songs to improve mood in older users, especially those with stroke or dementia. The robot will facilitate music sessions that are personalised to evoke positive emotional responses that improve mood. Teppo Särkämö's research proves that personalised music, especially well-known and favourite songs, plays a crucial role in improving the mood and emotional well-being of elderly people <ref>Särkämö, T. (Year). ''Music for the ageing brain: Cognitive, emotional, social, and neural benefits of musical leisure activities in stroke and dementia''. Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki. content</ref>. Such interventions take advantage of the very close emotional relationships users have with music they like, and activate positive memories and feelings that are exceptionally strong for improving mood. It emphasizes that familiar music evokes stronger emotional responses and activates reward circuits in the brain more effectively than unfamiliar music.


3.     '''Customization of movement intensity to ensure safety and comfort for all users'''
3.     '''Customization of movement intensity to ensure safety and comfort for all users'''
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5.     '''Clear visual and audio guidance'''  
5.     '''Clear visual and audio guidance'''  


Providing clear and straightforward visual and audio instructions is essential for elderly users, particularly those with cognitive impairments. Research indicates that older adults with cognitive decline often face challenges in comprehension and communication, which can impact their decision-making processes. Utilizing visual methods, such as infographics or pictures, has been shown to support understanding and facilitate communication in this population (Chen et al., 2022).
Providing clear and straightforward visual and audio instructions is essential for elderly users, particularly those with cognitive impairments. Research indicates that older adults with cognitive decline often face challenges in comprehension and communication, which can impact their decision-making processes. Utilizing visual methods, such as infographics or pictures, has been shown to support understanding and facilitate communication in this population <ref>Chen, A. T., Teng, A. K., Zhao, J., Asirot, M. G., & Turner, A. M. (2022). The use of visual methods to support communication with older adults with cognitive impairment: A scoping review. ''Geriatric Nursing, 46'', 52–60. <nowiki>https://doi.org/10.1016/j.gerinurse.2022.04.027</nowiki></ref>.


Additionally, sensory impairments, including vision and hearing loss, are common among the elderly and can further hinder information processing. Studies have found that visual and hearing impairments are associated with a higher risk of cognitive decline. The use of visual aids can mitigate some of these challenges by enhancing comprehension and supporting cognitive functions (Kwan et al., 2022).
Additionally, sensory impairments, including vision and hearing loss, are common among the elderly and can further hinder information processing. Studies have found that visual and hearing impairments are associated with a higher risk of cognitive decline. The use of visual aids can mitigate some of these challenges by enhancing comprehension and supporting cognitive functions <ref>Kwan, R. Y. C., Kwan, C. W., Kor, P. P. K., & Chi, I. (2022). Cognitive decline, sensory impairment, and the use of audio-visual aids by long-term care facility residents. ''BMC Geriatrics, 22'', 216. <nowiki>https://doi.org/10.1186/s12877-022-02895-x</nowiki></ref>.


Incorporating clear visual and audio instructions can also improve working memory performance in older adults. Research examining the effect of auditory-visual speech stimuli on working memory found that combining auditory and visual information can enhance cognitive performance in older adults with hearing impairments (Frtusova & Phillips, 2016).
Incorporating clear visual and audio instructions can also improve working memory performance in older adults. Research examining the effect of auditory-visual speech stimuli on working memory found that combining auditory and visual information can enhance cognitive performance in older adults with hearing impairments <ref>Frtusova, J. B., & Phillips, N. A. (2016). The auditory-visual speech benefit on working memory in older adults with hearing impairment. ''Frontiers in Psychology, 7'', 490. <nowiki>https://doi.org/10.3389/fpsyg.2016.00490</nowiki></ref>.


By integrating clear visual and audio instructions, assistive technologies can better support elderly users, particularly those with cognitive and sensory impairments, leading to improved comprehension, communication, and overall user experience.
By integrating clear visual and audio instructions, assistive technologies can better support elderly users, particularly those with cognitive and sensory impairments, leading to improved comprehension, communication, and overall user experience.
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-       Involve goal-setting mechanisms that track user achievement with reinforcement when milestones are reached.
-       Involve goal-setting mechanisms that track user achievement with reinforcement when milestones are reached.


As intrinsic motivation and enjoyment are key for adherence, the feedback system has to ensure that users feel able, supported, and engaged during their dance therapy sessions (Braga-Pereira et al., 2024).
As intrinsic motivation and enjoyment are key for adherence, the feedback system has to ensure that users feel able, supported, and engaged during their dance therapy sessions <ref>Braga-Pereira, R., Furtado, G. E., Campos, F., Sampaio, A. R., & Teques, P. (2024). Impact of fitness coach behavior on exercise motivation, commitment, and enjoyment: A longitudinal study. ''PLOS ONE, 19''(12), e0310931. <nowiki>https://doi.org/10.1371/journal.pone.0310931</nowiki></ref>.
 
 


7.     '''Companion-like interactions'''
7.     '''Companion-like interactions'''


The interaction with the robot has to be friendly, sympathetic, and engaging so that the robot acts more like a dance partner than just an instructor. It should include social and emotional support elements, for example, active listening, personalization, and expressive communication through voice and face. The robot needs to recognize the different users' conversational requirements by providing active engagement to spur motivation and passive companionship when the user requires it. This will encourage older adults to increase motivation, enjoyment, and adherence to activities like dance therapy when done correctly (Irfan et al., 2024).
The interaction with the robot has to be friendly, sympathetic, and engaging so that the robot acts more like a dance partner than just an instructor. It should include social and emotional support elements, for example, active listening, personalization, and expressive communication through voice and face. The robot needs to recognize the different users' conversational requirements by providing active engagement to spur motivation and passive companionship when the user requires it. This will encourage older adults to increase motivation, enjoyment, and adherence to activities like dance therapy when done correctly <ref>Irfan, B., Kuoppamäki, S., & Skantze, G. (2024). Recommendations for designing conversational companion robots with older adults through foundation models. ''Frontiers in Robotics and AI, 11.'' <nowiki>https://doi.org/10.3389/frobt.2024.1363713</nowiki></ref>.
 
 
 
 
'''Bibliography'''
 
8.     Zhao, D., Sun, X., Shan, B., Yang, Z., Yang, J., Liu, H., Jiang, Y., & Hiroshi, Y. (2023). Research status of elderly-care robots and safe human-robot interaction methods. ''Frontiers in Neuroscience'', ''17'', 1291682. <nowiki>https://doi.org/10.3389/fnins.2023.1291682</nowiki>
 
9.     Chen, A. T., Teng, A. K., Zhao, J., Asirot, M. G., & Turner, A. M. (2022). The use of visual methods to support communication with older adults with cognitive impairment: A scoping review. ''Geriatric Nursing, 46'', 52–60. <nowiki>https://doi.org/10.1016/j.gerinurse.2022.04.027</nowiki>
 
10.     Kwan, R. Y. C., Kwan, C. W., Kor, P. P. K., & Chi, I. (2022). Cognitive decline, sensory impairment, and the use of audio-visual aids by long-term care facility residents. ''BMC Geriatrics, 22'', 216. <nowiki>https://doi.org/10.1186/s12877-022-02895-x</nowiki>
 
11.     Frtusova, J. B., & Phillips, N. A. (2016). The auditory-visual speech benefit on working memory in older adults with hearing impairment. ''Frontiers in Psychology, 7'', 490. <nowiki>https://doi.org/10.3389/fpsyg.2016.00490</nowiki>
 
12.     Braga-Pereira, R., Furtado, G. E., Campos, F., Sampaio, A. R., & Teques, P. (2024). Impact of fitness coach behavior on exercise motivation, commitment, and enjoyment: A longitudinal study. ''PLOS ONE, 19''(12), e0310931. <nowiki>https://doi.org/10.1371/journal.pone.0310931</nowiki>
 
13.     Irfan, B., Kuoppamäki, S., & Skantze, G. (2024). Recommendations for designing conversational companion robots with older adults through foundation models. ''Frontiers in Robotics and AI, 11.'' <nowiki>https://doi.org/10.3389/frobt.2024.1363713</nowiki>
 
== Planning (approach, milestones and deliverables) ==
== Planning (approach, milestones and deliverables) ==
Each week, there will be a mentor meeting on Monday morning to ask questions and get feedback. Furthermore, we have two additional group meetings every week, one directly after the mentor meeting and one on Friday during the break. The Wiki will be updated every Sunday (weekly deliverable).  
Each week, there will be a mentor meeting on Monday morning to ask questions and get feedback. Furthermore, we have two additional group meetings every week, one directly after the mentor meeting and one on Friday during the break. The Wiki will be updated every Sunday (weekly deliverable).  

Revision as of 16:23, 13 February 2025

Group members

Group member Student number Study program
Amélie van Rossum 1743929 BPT
Annika Valkering 1890395 BPT
Koen Jaartsveld 1855786 BPT
Lisa van Nuland 1778528 BPT
Max te Brake 1534017 BPT

State-of-the-art

Problem statement and objectives

User description

Old people


User requirements

1.    Low-impact dance movements for elderly users

Create dance programmes that include low-impact movements specifically designed for older users. Incorporate well-controlled ballet and tap dance movements that can be performed by the robot, focusing on arm, hand and head movements that the Pepper robot can demonstrate. With such an approach, older participants can perform the activities sitting or standing, improving their physical endurance, strength and functionality in a safe way. Movement that maintains flexibility and reduces pain does not increase the risk of injury, but has been shown to encourage very high levels of adherence among participants to demonstrate effectiveness and also something worth doing [1]. Including aspects of aerobics that reduce psychological stress and possible mood enhancement would be valuable, as indicated by a study in which low-impact aerobic dance exercises significantly improved stress levels among sedentary women in Malaysia [2] .

2.     Mood enhancement

Intermittent dance exercises

The robot should have intermittent aerobic dance exercises of light intensity (I-LADE) as its core activity. This exercise is considered the best to improve mood in older adults because it is very fun and engaging. According to a study published in 2021 in Frontiers in Aging Neuroscience, both forms of exercise interventions (continuous and intermittent) had a positive impact on mood and executive functions. However, the I-LADE (intermittent) intervention was particularly beneficial because it was more fun, which made it most likely to increase participation for longer. Participants reported that this intervention was clearly more pleasurable and enjoyable than continuous physical activity, allowing this intervention to be included fairly regularly in treatment programmes for older adults, especially as a morale booster [3].

Classical music

The robot should include classical music with a happy sound, specifically pieces by Mozart, to help improve the mood and cognitive functioning of elderly users. Such music would use the general inherent characteristics of classical compositions to evoke happiness and would therefore be suitable dancing programs to boost mood. Research suggests that listening to happy-sounding music, such as Mozart's, can significantly increase the level of arousal and mood in older people. This kind of music is not only good for mood but also for cognitive functions, working memory and skills needed for voluntary mental activity in older people to maintain overall mental health [4].

Personalized music

Personalised music interventions could include using favourite genres and songs to improve mood in older users, especially those with stroke or dementia. The robot will facilitate music sessions that are personalised to evoke positive emotional responses that improve mood. Teppo Särkämö's research proves that personalised music, especially well-known and favourite songs, plays a crucial role in improving the mood and emotional well-being of elderly people [5]. Such interventions take advantage of the very close emotional relationships users have with music they like, and activate positive memories and feelings that are exceptionally strong for improving mood. It emphasizes that familiar music evokes stronger emotional responses and activates reward circuits in the brain more effectively than unfamiliar music.

3.     Customization of movement intensity to ensure safety and comfort for all users

The system should be able to adjust movement intensity and style so that all users, particularly older users, feel safe and comfortable. Older users may have varying levels of physical ability. Balance and type of movements should be modified to ensure the safety and comfort of the programme for older participants. This modification is due to the fact older individuals do not have comparable physical capabilities, as inscribed in the synthesis evidence from recent studies on health programmes in dance. Such customized approaches minimize injury risk in dance activities while promoting greater overall participation by making movements accessible and enjoyable for all participants, irrespective of their physical condition [6].

4.     Hands-Free Controls

The robot must feature hands-free controls, such as voice commands, so that users with mobility or cognitive limitations can still use the robot. According to Zhao et al. (2023), human-robot interaction, perception-based systems and prediction-based systems design to adapt to the user's needs while ensuring safety and comfort. Dance therapy is usually defined as artistic therapy, i.e. coordinated movements and balanced use of music; hands-free control allows the user to interact with the robot without diverting their attention or requiring manual input. In addition, voice controls also enable interaction where users can start, stop or tune dance routines without the burden of physical control input that can be difficult for those with less dexterity or cognitive limitations. Another advantage is that voice guidance can provide real-time encouragement, corrections or instructions that can increase motivation and support dance sessions. Psychological safety has also been shown to greatly aid user acceptance of robotic systems [7]. Letting users control the robot with words rather than by moving their body reduces worry and increases confidence, especially among people who are not so used to technology.

5.     Clear visual and audio guidance

Providing clear and straightforward visual and audio instructions is essential for elderly users, particularly those with cognitive impairments. Research indicates that older adults with cognitive decline often face challenges in comprehension and communication, which can impact their decision-making processes. Utilizing visual methods, such as infographics or pictures, has been shown to support understanding and facilitate communication in this population [8].

Additionally, sensory impairments, including vision and hearing loss, are common among the elderly and can further hinder information processing. Studies have found that visual and hearing impairments are associated with a higher risk of cognitive decline. The use of visual aids can mitigate some of these challenges by enhancing comprehension and supporting cognitive functions [9].

Incorporating clear visual and audio instructions can also improve working memory performance in older adults. Research examining the effect of auditory-visual speech stimuli on working memory found that combining auditory and visual information can enhance cognitive performance in older adults with hearing impairments [10].

By integrating clear visual and audio instructions, assistive technologies can better support elderly users, particularly those with cognitive and sensory impairments, leading to improved comprehension, communication, and overall user experience.

Research on interactive robotic feedback and balance therapy demonstrates that customized movement intensity, real-time feedback, and hands-free controls significantly improve adherence, engagement, and motor functions in older people [11].

6.   Encouraging feedback

The dance therapy robot should provide positive reinforcement, acknowledging the progress of the user and encouraging further effort.

Physical activities require motivation, and enjoyment, and hence long-term adherence to be successful. Positive reinforcement holds such an important value in these aspects. Research also made it clear that people’s perceptions of their coach’s behaviours, like goal setting, technical guidance, and rapport-building, are the key predictors of exercise engagement over time.

For a dance therapy robot, this means incorporating real-time, personalized positive feedback that will enhance the users' intrinsic motivation and enjoyment in activity. The robot should:

-       Recognize progress made in moving, balancing, and enduring so that it can help foster a sense of competence.

-       Give motivational encouragement to add to Enjoyment and Engagement.

-       Involve goal-setting mechanisms that track user achievement with reinforcement when milestones are reached.

As intrinsic motivation and enjoyment are key for adherence, the feedback system has to ensure that users feel able, supported, and engaged during their dance therapy sessions [12].

7.     Companion-like interactions

The interaction with the robot has to be friendly, sympathetic, and engaging so that the robot acts more like a dance partner than just an instructor. It should include social and emotional support elements, for example, active listening, personalization, and expressive communication through voice and face. The robot needs to recognize the different users' conversational requirements by providing active engagement to spur motivation and passive companionship when the user requires it. This will encourage older adults to increase motivation, enjoyment, and adherence to activities like dance therapy when done correctly [13].

Planning (approach, milestones and deliverables)

Each week, there will be a mentor meeting on Monday morning to ask questions and get feedback. Furthermore, we have two additional group meetings every week, one directly after the mentor meeting and one on Friday during the break. The Wiki will be updated every Sunday (weekly deliverable).

On a weekly basis, we will evaluate what tasks need to be done and assign the tasks according to skills and interests of the group members.

Week 1

  • Introduction to the course and forming of teams - all
  • Brainstorm to come up with ideas for a project and select one - all
  • Communicate the idea with the course coordinater - Annika
  • Conduct literature review (5 pp) - all
  • Write problem statement - Lisa
  • Write objectives - Max
  • Write user description - Amélie
  • Write user requirements - Koen
  • Make planning (containing approaches, milestones, deliverables) for the project - Annika
  • Select technology (Pepper, other TU/e robot) - all

Week 2

  • Confirmation to use the robot lab and which robot
  • Create ERB form and get approval
  • Create survey about mood for pre- and post-test
  • Outline of capabilities of the robot

Week 3

  • Program the robot
  • Make consent form
  • Start finding participants

Week 4

  • Final arrangements for experiment set-up (milestone 1)
  • Start with user testing/experiment

Week 5

  • Finalize user testing/experiment (milestone 2)
  • Analyze findings

Week 6

  • Write results section
  • Write discussion section
  • Write conclusion section

Week 7

  • Finalize report (milestone 3)
  • Prepare final presentation + demo
  • Give final presentation (milestone 4)
  • Fill in peer review

Individual effort per week

Week 1
Group member Total hours Tasks
Amélie van Rossum Intro lecture (2h), literature review (2h), group meeting (1h), user needs (4h)
Annika Valkering Intro lecture (2h), literature review (2h), Wiki layout and draft planning (2h), group meeting (1h)
Koen Jaartsveld Intro lecture (2h), group meeting (1h)
Lisa van Nuland Intro lecture (2h), literature review (2h), draft problem definition, user needs and approach (2h), group meeting (1h)
Max te Brake Intro lecture (2h), group meeting (1h)
Week 2
Group member Total hours Tasks
Amélie van Rossum
Annika Valkering
Koen Jaartsveld
Lisa van Nuland
Max te Brake
Week 3
Group member Total hours Tasks
Amélie van Rossum
Annika Valkering
Koen Jaartsveld
Lisa van Nuland
Max te Brake
Week 4
Group member Total hours Tasks
Amélie van Rossum
Annika Valkering
Koen Jaartsveld
Lisa van Nuland
Max te Brake
Week 5
Group member Total hours Tasks
Amélie van Rossum
Annika Valkering
Koen Jaartsveld
Lisa van Nuland
Max te Brake
Week 6
Group member Total hours Tasks
Amélie van Rossum
Annika Valkering
Koen Jaartsveld
Lisa van Nuland
Max te Brake
Week 7
Group member Total hours Tasks
Amélie van Rossum
Annika Valkering
Koen Jaartsveld
Lisa van Nuland
Max te Brake
Total hours spend during the course
Group member Total hours Result
Amélie van Rossum
Annika Valkering
Koen Jaartsveld
Lisa van Nuland
Max te Brake
  1. Kimberly Lazo Green, Yang Yang, Ukachukwu Abaraogu, Claire H Eastaugh, Fiona R Beyer, Gill Norman, Chris Todd, Effectiveness of dance interventions for falls prevention in older adults: systematic review and meta-analysis, Age and Ageing, Volume 53, Issue 5, May 2024, afae104, https://doi.org/10.1093/ageing/afae104
  2. Johar, M., Omar-fauzee, M. S., Abu Samah, B., & Abd Rashid, S. (2012). Effect of low-impact aerobic dance exercise on psychological health (stress) among sedentary women in Malaysia. Biology of Sport, 29(1). Effect_of_low-impact_aerobic_dance_exercise_on_psy.pdf
  3. Frontiers in Aging Neuroscience. (2021). Comparison between the effects of continuous and intermittent light-intensity aerobic dance exercise on mood and executive functions in older adults. Retrieved from https://www.frontiersin.org/articles/10.3389/fnagi.2021.723243/full
  4. Vincenzi, M., Borella, E., Sella, E., Lima, C. F., De Beni, R., & Schellenberg, E. G. (2022). Music Listening, Emotion, and Cognition in Older Adults. Brain Sciences, 12(11), 1567. https://doi.org/10.3390/brainsci12111567
  5. Särkämö, T. (Year). Music for the ageing brain: Cognitive, emotional, social, and neural benefits of musical leisure activities in stroke and dementia. Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki. content
  6. Waugh, M., Youdan Jr., G., Casale, C., Balaban, R., Cross, E. S., & Merom, D. (2024). The use of dance to improve the health and wellbeing of older adults: A global scoping review of research trials. PLoS ONE, 19(10), e0311889. https://doi.org/10.1371/journal.pone.0311889
  7. Zhao, D., Sun, X., Shan, B., Yang, Z., Yang, J., Liu, H., Jiang, Y., & Hiroshi, Y. (2023). Research status of elderly-care robots and safe human-robot interaction methods. Frontiers in Neuroscience, 17, 1291682. https://doi.org/10.3389/fnins.2023.1291682
  8. Chen, A. T., Teng, A. K., Zhao, J., Asirot, M. G., & Turner, A. M. (2022). The use of visual methods to support communication with older adults with cognitive impairment: A scoping review. Geriatric Nursing, 46, 52–60. https://doi.org/10.1016/j.gerinurse.2022.04.027
  9. Kwan, R. Y. C., Kwan, C. W., Kor, P. P. K., & Chi, I. (2022). Cognitive decline, sensory impairment, and the use of audio-visual aids by long-term care facility residents. BMC Geriatrics, 22, 216. https://doi.org/10.1186/s12877-022-02895-x
  10. Frtusova, J. B., & Phillips, N. A. (2016). The auditory-visual speech benefit on working memory in older adults with hearing impairment. Frontiers in Psychology, 7, 490. https://doi.org/10.3389/fpsyg.2016.00490
  11. Segal, A. D., Adamczyk, P. G., Petruska, A. J., & Silverman, A. K. (2022). Hands-free balance therapy using robotic mobile feedback for home-based training for aging adults. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/TNSRE.2022.3205850
  12. Braga-Pereira, R., Furtado, G. E., Campos, F., Sampaio, A. R., & Teques, P. (2024). Impact of fitness coach behavior on exercise motivation, commitment, and enjoyment: A longitudinal study. PLOS ONE, 19(12), e0310931. https://doi.org/10.1371/journal.pone.0310931
  13. Irfan, B., Kuoppamäki, S., & Skantze, G. (2024). Recommendations for designing conversational companion robots with older adults through foundation models. Frontiers in Robotics and AI, 11. https://doi.org/10.3389/frobt.2024.1363713