[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-427570-105":3,"detail-sidebar-cat-0-en-105":74,"doc-detail-427570-en":124},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":67,"head_meta":69,"extra_data":71,"updated_unix":73},105,"en","feasibility-of-a-conversational-agent-to-bring-home-the-steadi-fall-prevention-algorithm","Feasibility of a Conversational Agent to Bring Home the STEADI Fall Prevention Algorithm","","Accidental falls threaten older adults’ health and well-being, particularly those with mild cognitive impairment (MCI), where cognition supports functional gait and postural stability. The STEADI initiative reduces fall risk but typically needs extensive, ongoing implementation resources. This study evaluates feasibility using a tablet-based conversational agent platform with a pet companion avatar in 21 older adults across cognitive and fall-risk groups, confirming fall risk and cognitive status with standardized measures.",{"@graph":14,"@context":66},[15,34,49],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/feasibility-of-a-conversational-agent-to-bring-home-the-steadi-fall-prevention-algorithm/427570/",4,{"url":32,"name":10,"@type":35,"author":36,"headline":10,"publisher":39,"fileFormat":42,"inLanguage":8,"description":12,"dateModified":43,"datePublished":43,"encodingFormat":42,"isAccessibleForFree":44,"interactionStatistic":45},"DigitalDocument",{"name":37,"@type":38},"Ophelia","Person",{"url":19,"name":40,"@type":41},"DocShare","Organization","application/pdf","2026-09-29",true,{"@type":46,"interactionType":47,"userInteractionCount":4},"InteractionCounter",{"@type":48},"ViewAction",{"@type":50,"mainEntity":51},"FAQPage",[52,58,62],{"name":53,"@type":54,"acceptedAnswer":55},"What is the purpose of this study?","Question",{"text":56,"@type":57},"To test the feasibility of using a tablet-based conversational technology platform with a pet companion avatar to help implement the STEADI fall prevention algorithm.","Answer",{"name":59,"@type":54,"acceptedAnswer":60},"How were participants grouped?",{"text":61,"@type":57},"Twenty-one older adults were assigned to cognitively normal with low fall risk (CN-, n=6), cognitively normal with fall risk (CN+, n=8), and older adults with MCI (MCI+, n=7).",{"name":63,"@type":54,"acceptedAnswer":64},"What feedback did users provide and how was usability evaluated?",{"text":65,"@type":57},"Users valued the avatar’s friendliness, natural conversational tone, and engaging, nonthreatening design. Instructions were clear and ease to follow, supported by a reported clarity rating of 9.4 ± 0.8 out of 10, alongside a system usability assessment.","https://schema.org",{"og:url":32,"og:type":68,"og:title":10,"og:site_name":40,"og:description":12},"article",{"robots":70,"canonical":32},"index,follow",{"doc_id":72,"site_id":7},427570,1790644247,{"code":4,"msg":75,"data":76},"success",[77,81,85,89,94,99,104,108,113,116,120],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":78,"show_sort_weight":79,"slug":80},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":82,"show_sort_weight":83,"slug":84},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":86,"show_sort_weight":87,"slug":88},"Exam",70,"exam",{"id":90,"doc_module":4,"doc_module_name":25,"category_name":91,"show_sort_weight":92,"slug":93},5,"Comic",60,"comic",{"id":95,"doc_module":4,"doc_module_name":25,"category_name":96,"show_sort_weight":97,"slug":98},6,"Technology",50,"technology",{"id":100,"doc_module":4,"doc_module_name":25,"category_name":101,"show_sort_weight":102,"slug":103},7,"Healthcare",40,"healthcare",{"id":105,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":106,"slug":107},8,30,"research-report",{"id":109,"doc_module":4,"doc_module_name":25,"category_name":110,"show_sort_weight":111,"slug":112},9,"Religion & Spirituality",20,"religion-spirituality",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":114,"show_sort_weight":111,"slug":115},"World Cup","world-cup",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":118,"show_sort_weight":117,"slug":119},10,"Lifestyle","lifestyle",{"id":121,"doc_module":4,"doc_module_name":25,"category_name":122,"show_sort_weight":90,"slug":123},19,"General","general",{"code":4,"msg":75,"data":125},{"doc_id":72,"user_id":126,"nickname":37,"user_avatar":127,"doc_module":4,"category_id":105,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":128,"file_id":129,"file_url":130,"file_type":131,"file_size":132,"view_count":4,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":22,"language":133,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":134,"faqs":135,"seo_title":136,"seo_description":12,"update_tm":73,"read_time":30},7971461741311,"https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826","Innovation in Aging, 2025, Vol. 9, No. S2 775  \n(SU) was good overall (76 ± 13) with areas of improvement noted across groups. Design recommendations included faster response times, clarifying task transitions and starts, and customizing avatar settings such as voice and volume to the individual. The agent and platform are a promising tool to implement STEADI and prevent falls. Future studies will incorporate the Otago Exercise Program.  \nAbstract citation ID: igaf122.2632  \nFEASIBILITY OF A CONVERSATIONAL AGENT TO  \nBRING HOME THE STEADI FALL PREVENTION  \nALGORITHM  \nChantal Kerssens1, Brenna Phelps2, Brian Jones2, Madeleine Hackney3, Ted Johnson3, Joseph (Joe) Nocera4, Cathleen Carroll-Sauer4, and Ritom Gupta1, [1. Friendi.fi](1. Friendi.fi) Corporation, Millbrae, California, United States, 2. Georgia Institute of Technology, Atlanta, Georgia, United States, 3. Emory School of Medicine, Atlanta, Georgia, United States, 4. Emory University, Atlanta, Georgia, United States  \nAccidental falls threaten the health and well-being of older adults, especially those with mild cognitive impairment (MCI) due to cognition’s important role in preserving functional gait and postural stability. The STEADI (Stopping Elderly Accidents, Deaths & Injuries) Initiative by the CDC reduces fall risk and rates but traditionally requires extensive, ongoing implementation resources for impact. This study tested the feasibility of using an already-scaled conversational technology platform with tablet-based agent (pet companion avatar) in 21 cognitively-normal (CN) older adults at low fall risk (CN–, n =6), CN older adults at fall risk (CN+, n = 8), and older adults with MCI (MCI+, n = 7). Fall risk and cognitive status were confirmed with standardized measures. Participants were majority female (76%), 75 ± 10 years old (range 54-95), and racially diverse (White, 62%; Black/African American, 24%; Asian 9%; multi-racial, 5%) . All evaluated avatar-led assessments of gait, balance, and leg strength plus an exercise safety check. Users appreciated the avatar’s friendliness, natural conversational tone, nonthreatening design, patience, and engaging nature.  \nInstructions were seen as clear, concise, and easy to follow, corroborating a 9.4 ± 0.8 clarity rating out of 10. System Usability","cbCaiedOmZyWRymW","https://ap.wps.com/l/cbCaiedOmZyWRymW","pdf",698171,"English","# Feasibility of a Conversational Agent\n## Study design and participants\n## Measures and assessments\n## Participant feedback and usability","[{\"question\":\"What is the purpose of this study?\",\"answer\":\"To test the feasibility of using a tablet-based conversational technology platform with a pet companion avatar to help implement the STEADI fall prevention algorithm.\"},{\"question\":\"How were participants grouped?\",\"answer\":\"Twenty-one older adults were assigned to cognitively normal with low fall risk (CN-, n=6), cognitively normal with fall risk (CN+, n=8), and older adults with MCI (MCI+, n=7).\"},{\"question\":\"What feedback did users provide and how was usability evaluated?\",\"answer\":\"Users valued the avatar’s friendliness, natural conversational tone, and engaging, nonthreatening design. Instructions were clear and ease to follow, supported by a reported clarity rating of 9.4 ± 0.8 out of 10, alongside a system usability assessment.\"}]","Feasibility of a Conversational Agent to Bring Home the STEADI Fall Prevention Algorithm | PDF"]