2023
DOI: 10.3389/fcomp.2023.1289869
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Wearable systems without experiential disruptions: exploring the impact of device feedback changes on explicit awareness, physiological synchrony, sense of agency, and device-body ownership

Caitlin Morris,
Valdemar Danry,
Pattie Maes

Abstract: Technologies on the body that require explicit awareness to be operated or monitored often risk disrupting human awareness and induce stress and excessive cognitive load. With the increasing interest in body-centric technologies, it is thus essential to understand how to build technologies that interface with human awareness without disrupting or requiring too many cognitive resources. In this paper, we build and evaluate a wearable system that uses different feedback types to alter human awareness (of the dev… Show more

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“…While there are several ways of providing proactive support, Liu et al [37] show that a majority of users in a conversation preferred an on-demand suggestion interface over a fully proactive interface as it can be less distracting to the user experience. Wearable systems should minimize experiential disruptions to reduce users' explicit awareness of the system as this decreases cognitive load, and increases the sense of agency and sense of bodyownership [48]. As minimizing distraction is central to the design of Memoro, this inspired our approach to providing on-demand predictive assistance, through the Queryless Mode, in memory retrieval.…”
Section: Context-aware Agents In Conversationsmentioning
confidence: 99%
“…While there are several ways of providing proactive support, Liu et al [37] show that a majority of users in a conversation preferred an on-demand suggestion interface over a fully proactive interface as it can be less distracting to the user experience. Wearable systems should minimize experiential disruptions to reduce users' explicit awareness of the system as this decreases cognitive load, and increases the sense of agency and sense of bodyownership [48]. As minimizing distraction is central to the design of Memoro, this inspired our approach to providing on-demand predictive assistance, through the Queryless Mode, in memory retrieval.…”
Section: Context-aware Agents In Conversationsmentioning
confidence: 99%