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These systems are designed to raise alerts when adverse events are detected, which in turn enables family and carers to take action in a timely manner. However, monitoring systems typically suffer from two problems: they may generate false alerts or miss true adverse events.<\/jats:p><jats:p>This motivates the two user studies presented in this paper: (1)\u00a0in the first study, we investigate the effect of the performance of different monitoring systems, in terms of accuracy and error type, on users\u2019 trust in these systems and behaviour; and (2)\u00a0in the second study, we examine the effect of recommendations made by an advisor agent on users\u2019 behaviour.<\/jats:p><jats:p>Our user studies take the form of a web-based game set in a retirement village, where elderly residents live in smart homes equipped with monitoring systems. Players, who \u201cwork\u201d in the village, perform a primary task whereby they must ensure the welfare of the residents by attending to adverse events in a timely manner, and a secondary routine task that demands their attention. These conditions are typical of a retirement setting, where workers perform various duties in addition to keeping an eye on a monitoring system.<\/jats:p><jats:p>Our main findings pertain to: (1)\u00a0the identification of user types that shed light on users\u2019 trust in automation and aspects of their behaviour; (2)\u00a0the effect of monitoring-system accuracy and error type on users\u2019 trust and behaviour; (3)\u00a0the effect of the recommendations made by an advisor agent on users\u2019 behaviour; and (4)\u00a0the identification of influential factors in models that predict users\u2019 trust and behaviour. The studies that yield these findings are enabled by two methodological contributions: (5)\u00a0the game itself, which supports experimentation with various factors, and a version of the game augmented with an advisor agent; and (6)\u00a0techniques for calibrating the parameters of the game and determining the recommendations of the advisor agent.<\/jats:p>","DOI":"10.1007\/s11257-023-09357-y","type":"journal-article","created":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T11:06:50Z","timestamp":1680174410000},"page":"1015-1063","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario"],"prefix":"10.1007","volume":"33","author":[{"given":"Ingrid","family":"Zukerman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andisheh","family":"Partovi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jakob","family":"Hohwy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,30]]},"reference":[{"key":"9357_CR1","doi-asserted-by":"crossref","unstructured":"M.\u00a0Armando, M.\u00a0Ochs, and I.\u00a0R\u00e9gner. 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