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Changes for page 4. Evaluation Methods

Last modified by Deepali Prabhu on 2023/04/10 15:02
From version 2.1
edited by Deepali Prabhu
on 2023/03/06 10:52
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To version 3.1
edited by Deepali Prabhu
on 2023/03/06 11:06
Change comment: There is no comment for this version

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8 8  ** Reduce agitation and improve overall mood
9 9  * Long term : Improve quality of life.
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12 12  Due to restrictions in time, we would need to conduct an in between study and collect pre, in between and post session metrics to determine the usability of our social robot. Additionally, since the participants would consist of fellow researchers and not actual dementia patients, we will have to rule out most commonly used scales like QUALID,QoL[1], BPSD, CMAIS [2]. Before even measuring the effectiveness of our social robot, it would it useful to collect metrics to gauge general attitudes towards robots of the participant before and after the session to gauge the technology acceptance. The General Attitudes Towards Robots Scale (GAToRS)[3] can be used for this.
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14 14  Engagement level with the social robot can be measured by metrics like Free choice period and the User Enhanced User Engagement Scale[4]. The mood enhancement of users is also a key factor to assess. The Visual Analog Mood Scales (VAMS) would be an appropriate mood assessment scale for the elderly, due to its ease of understanding and use and its aptness for neurologically impaired patients[5].
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16 16  There are several HRI frameworks to determine the general likability, usability and effectiveness of our Social Robot like Godspeed, SUS.
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19 19  [1] Ready RE, Ott BR. Quality of Life measures for dementia. Health Qual Life Outcomes. 2003 Apr 23;1:11. doi: 10.1186/1477-7525-1-11. PMID: 12740036; PMCID: PMC155631.
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21 21  [2] Yu C, Sommerlad A, Sakure L, Livingston G. Socially assistive robots for people with dementia: Systematic review and meta-analysis of feasibility, acceptability and the effect on cognition, neuropsychiatric symptoms and quality of life. Ageing Res Rev. 2022 Jun;78:101633. doi: 10.1016/j.arr.2022.101633. Epub 2022 Apr 21. PMID: 35462001.