Intelligent personal assistants (IPAs) have become widely available, yet they remain primarily used for discrete, straightforward tasks. By contrast, both user studies and literature reviews indicate that IPAs of the future are to be personalised, proactive, and capable of performing elaborate undertakings. Such systems would have to be based on complex and dynamic user and context models. We believe that scrutability -i.e. the ability of the user to actively study and modify the models towards tuning personalisation -could emerge as an essential element of such a human-assistant interaction paradigm. Yet, to the best of our knowledge, no work so far has investigated how the principles of scrutability, as presented in [21], relate to the context and novel challenges raised by the proactive IPAs and how scrutability could facilitate effort-efficient control of the assistants. This paper introduces our vision of the confluence of the research fields of IPAs and scrutability, presents a diagram of the proposed interaction structure, and reanalyses data from user studies originally presented in [11,39] to better understand user expectations regarding scrutability and proactivity of IPAs.CCS Concepts: • Human-centered computing → Personal digital assistants; User models; Natural language interfaces; User centered design.
While voice-controllable Intelligent Personal Assistants (IPAs) have become widespread in recent years, they remain primarily reactive with rather constrained calendaring capabilities. Anticipating more adaptive and complex assistants in the future, we organised a multidisciplinary expert discussion investigating potential use cases, interaction principles, and user modelling challenges within proactive IPAs for time management. This paper presents the identified themes and deliberations on enticing self-reflection, longitudinal task assistance, interaction modality, dialogue design, perception of the system, usage willingness, onboarding, and explainability. These findings outline a framework of advanced IPAs for time management. CCS CONCEPTS• Human-centered computing → Personal digital assistants; User models; Empirical studies in HCI ; User centered design; Natural language interfaces.
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