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With the prevalence of mental health problems today, designing human-robot interaction for mental health intervention is not only possible, but critical. The current experiment examined how three types of robot disclosure (emotional, technical, and by-proxy) affect robot perception and human disclosure behavior during a stress-sharing activity. Emotional robot disclosure resulted in the lowest robot perceived safety. Post-hoc analysis revealed that increased perceived stress predicted reduced human disclosure, user satisfaction, robot likability, and future robot use. Negative attitudes toward robots also predicted reduced intention for future robot use. This work informs on the possible design of robot disclosure, as well as how individual attributes, such as perceived stress, can impact human robot interaction in a mental health context.
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Developing a mental model for use in the context of computer security
A mental model is a useful tool for describing user's general mental processes that go into certain actions. In this paper, we investigate how to enhance the usability of security applications by considering human factors. Specifically, we study how to better understand and develop the user's mental model in the context of computer security through the use of the reasoned action approach (RAA). RAA explains that a user's behavior is determined by her intention to perform the behavior and the intention is, in turn, a function of attitudes towards the behavior, perceived norms (or social pressure), and perceived behavior control (capacity and relevant skills/abilities). A user study was conducted to test the validity of each of the main components of the model. Our user study concluded that alterations to a computer security application improved by the analysis through the mental model created improved user behavior.
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- Award ID(s):
- 1757945
- PAR ID:
- 10095276
- Date Published:
- Journal Name:
- Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
- Page Range / eLocation ID:
- 2336 to 2339
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3297280.3299748
