An embodied conversational agent coach to support societal participation learning by low-literate users

Abstract

People of low literacy could benefit from automated support when learning about societal participation. We design an Embodied Conversational Agent (ECA) ‘coach’ that can provide effective learning support to low-literate learners, develop a prototype virtual learning environment, and evaluate this prototype with low-literate end users. First, we inventory the learning support benefits of ECA coaching. Second, we update existing requirements to better specify functional demands for the coach ECA. Third, we write use cases and develop the prototype. Finally, we evaluate the prototype with low-literate users in a mixed-method within-subjects experiment. Results show that the coach influences the subjective learning experience: Participants report higher positive affect, higher user-system engagement, and increased self-efficacy regarding online banking. These results particularly apply to the domain of challenging information skills exercises. Caveats apply: One of four exercises was significantly more difficult than the other three; and coach support rules were not clearly formalized.

Embodied Conversational Agents Providing Motivational Interviewing to Improve Health-Related Behaviors: Scoping Review

“…The [26][27][28][29][36][37][38][39][40][41][42][43][44][45]. The following sections detail the key findings that address the defined review objectives.…”

“…Publication type [26][27][28][29][36][37][38][39][40] 9 (64) Journal article [41][42][43][44][45] 5 (36) Conference paper Years [27,29,[38][39][40][42][43][44][45] 9 (64) 2018-2022 [26,28,36,37] 4 (29) 2013-2017 [41] 1 (7)…”

“…Country of publication [26,27,29,36,37,39,[41][42][43][44] 10 (71) United States [28,38,40] 3 (21) The Netherlands [45] 1 (7) Australia Health problem addressed [29,36,37,39,41] 5 (36) Support reducing alcohol use [28,42,43] 3 (21) Promote physical activity and healthy eating [26,27] 2 ( 14) Promote women's preconception health [38,40] 2 (14) Support cognitive learning [44] 1 (7) Counseling patients in medication-assisted treatment for opioid use disorder [45] 1 (7) Support brain injury rehabilitation decision-making processes ECA a appearance (gender) [26,27,29,37,38,[42][43][44][45] 9 (64) Female [28,36,[39][40...…”

Productivity of incident management with conversational bots-a review

“…From what is shown in Table 2, it can be extracted that the benefits of using chatbots are diverse [67], [68], and transversal to health fields such as [23], [24], [31]- [33], and [66], customer service according to [25]- [30], [42], [46]- [51], [54]- [62], education according to [35]- [41], and trade in general according to [60]. From what is shown in Table 3, it can be extracted that the types of chatbots are called virtual assistants or agents, conversational, health, a chatbot with AI, natural language processing (NLP), and information management.…”

“…[23], [30], [31], [33], [35], [41], [42], [44], [45], [56]- [58], [68] Table 4. Processes optimizing conversational bots Processes Aplicación Ref.…”