Skip to main content
. 2022 Jul 13;64(4):515–528. doi: 10.1007/s12599-022-00757-9

Table 3.

A research agenda for virtual coaches

Research aspect Exemplary research questions

A:

Virtual Coach

(VC)

RQ1: How can the VC be deployed on multiple devices (e.g., smartphone, smartwatch, VR/AR glasses) for combined application scenarios?

RQ2: How can a “multi coach” approach be designed and implemented?

RQ3: How can learning abilities of the system be implemented to personalize the coaching process?

RQ4: Which XAI methods are particularly suitable for VCs to enhance user trust?

RQ5: What are technical mechanisms to ensure the safety of the user?

RQ6: How should generic virtual coaching solutions be designed?

B: User

RQ7: How can the constructs of psychological theories that explain learning and behavior change be effectively mapped to software systems (see Table 2)?

RQ8: How can the VC support habit formation?

C:

User—VC

Interaction

RQ9: What are the long-term effects of certain social cues?

RQ10: How can the VC be designed to effectively promote persuasiveness and user engagement?

RQ11: How can a long-term human–VC relationship be established and maintained?

RQ12: What are the consequences of an omnipresence of the coach?

RQ13: How can ethical aspects be addressed when designing VCs?

D: Human Coach

RQ14: How should the interface for the human coach be designed?

RQ15: How can human expert knowledge be efficiently integrated into the VC?

E: Context

RQ16: What are unobtrusive approaches to capture and predict the context?

RQ17: What are application areas of VCs?

Overarching research questions

RQ18: Do VCs influence coaching-oriented business models (creating a coaching economy)?

RQ19: Do VCs change established industries or other domains (e.g., healthcare)?

RQ20: Will VCs help reduce inequalities (e.g., in education)?