1,721,091 research outputs found
Personalizing reminders to personality for melanoma self-checking
No full textThis paper investigates whether different types of persuasive reminder should be sent to patients with different personalities. We describe a study where we presented participants with a personality measure, then describe a scenario with a fictional patient, who has not performed a skin check for recurrent melanoma. We asked patients to imagine they are in that situation and rate validated reminders based on Cialdini's 6 principles of persuasion for their suitability. Participants then chose their favourite reminder, and an alternative reminder to send if that one failed. We found that persuasive reminders that use `Authority' and 'Liking' are the most popular overall. We also found that personality had an effect when deciding on the type of persuasive reminder to use. In particular, we have found that those with high emotional stability are more responsive to any kind of persuasion, those with low agreeableness rated all types of reminder higher than those with high, and that conscientiousness matters when selecting an alternative reminder
Can a virtual agent provide good emotional support?: Exploring whether personality or identity effect the perceived supportiveness of a message
No full textIn this study we explore whether an emotional support message sent to an informal carer by a Virtual Agent provides good quality emotional support, compared to the same message sent by a friend or sister with whom they have either a close, medium, or distant relationship. We also explore whether these judgements are affected by personality. Participants recruited from Mechanical Turk rated an emotional support message for Suitability, provided qualitative feedback about their rating and then completed a personality measure. We found that the support message was rated worst when it came from the Computer, Distant-sister and Close-friend. While these were rated worse, they were not rated poorly, implying that support from a computer is valuable. There were three effects for personality which did not vary with the support giver's Identity: agreeableness and emotional stability had a positive correlation with 3 sub-scales of supportiveness. A thematic analysis of comments revealed that people prefer emotional support from a human; they like empathy; support from close friends means more; they prefer personalised support; and they have higher expectations from family over friends.</p
A methodology for creating and validating psychological stories for conveying and measuring psychological traits
No full textPersonality impacts all areas of our lives; it governs who we are and how we react to life’s challenges. Personalized systems that adapt to end users should take into account the user’s personality to perform well. Several methodologies (e.g. User-as-Wizard, indirect studies) that use personality adaptation require first for personality to be conveyed to the participant; this has few validated approaches. Furthermore, measuring personality is often time consuming, prone to response bias (e.g. using questionnaires) or data intensive (e.g. using behaviour or text mining). This paper presents a methodology for creating and validating stories to convey psychological traits and for using such stories with a personality slider scale to measure these traits. We present the validation of the scale and evaluate its reliability. To evidence the validity of the methodology, we outline studies where the stories and scale have been effectively applied (in recommender systems, intelligent tutoring systems, and persuasive systems)
The adaptation of an individual's satisfaction to group context: The role of ties strength & conflicts
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Modeling the Changing of the Individual Satisfaction in a Group Context: A Study on Two Sized Groups
No full textMulti-Method Evaluation of Adaptive Systems
Full text linkWhen evaluating personalized or adaptive systems, we frequently rely on one single evaluation objective and one single method. This remains us with “blind spots”. A comprehensive evaluation may require a thoughtful integration of multiple methods. This tutorial (i) demonstrates the wide variety of dimensions to be eval- uated, (ii) outlines the methodological approaches to evaluate these dimensions, (iii) pinpoints the blind spots when using only one ap- proach, (iv) demonstrates the benefits of multi-method evaluation, and (v) outlines the basic options how multiple methods can be integrated into one evaluation design. Participants familiarize with the wide spectrum of opportunities how adaptive or personalized systems may be evaluated, and have the opportunity to come up with evaluation designs that comply with the four basic options of multi-method evaluation. The ultimate learning objective is to stimulate the critical reflection of one’s own evaluation practices and those of the community at large
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