A diary study of information encountering triggered by visual stimuli on micro-blogging services

Jiang, Tingting; Guo, Qian; Xu, Yang; Fu, Shiting

doi:10.1016/j.ipm.2018.08.005

Cited by 23 publications

(18 citation statements)

References 61 publications

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“…While several studies have looked at the impact of smiling on individual attributes such as attractiveness [16,43,67], emotional contingent [40], and the effect of emotion for information process [52], there is no existing research on the impact of the smile on persona perceptions that we could locate. Nevertheless, prior research has shown that individuals' perceptions of the personas influence the adoption and use of personas in real organizations [68,69], and such visual stimuli can influence how people process the available information [32]. Often mentioned perceptions in association to personas include credibility, trustworthiness, and believability [28,50,65], likability [3], immersion, and identification [11,47,50,54], empathy [23,65], and usefulness [57,68,69].…”

Section: Introductionmentioning

confidence: 99%

Does a Smile Matter if the Person Is Not Real?: The Effect of a Smile and Stock Photos on Persona Perceptions

Salminen

Jung

Santos

et al. 2019

International Journal of Human–Computer Interaction

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We analyze the effect of using smiling/non-smiling and stock photo/non-stock photo pictures in persona profiles on four key persona perceptions, including credibility, likability, similarity, and willingness to use. For this, we collect data from an experiment with 2,400 participants using a 16-item survey instrument and multiple persona profile treatments of which half have a smiling photo/stock photo and half do not. The results from structural equation modeling, supplemented by a qualitative analysis, show that a smile enhances the perceived similarity with the persona, similar personas are more liked, and that likability increases the willingness to use a persona. In contrast, the use of stock photos decreases the perceived similarity with the persona as well as persona credibility, both of which are significant predictors to a willingness to use a persona. These professionally crafted stock-photos seem to diminish the sense of identification with the persona. The above effects are consistent across the tested ages, genders, and races of the persona picture, although the effect sizes tend to be small. The results suggest that persona creators should use smiling pictures of real people to evoke positive perceptions toward the personas. In addition to presenting quantitative evidence on the predictors of willingness to use a persona, our research has implications for the design of persona profiles, showing that the picture choice influences individuals' persona perceptions even when the other persona information is identical.

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Section: Introductionmentioning

confidence: 99%

Does a Smile Matter if the Person Is Not Real?: The Effect of a Smile and Stock Photos on Persona Perceptions

Salminen

Jung

Santos

et al. 2019

International Journal of Human–Computer Interaction

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“…The typical methods applied in information retrieval experimental studies and evaluations cover retrieval system evaluation using the Delphi method and analytic hierarchy (Lewandowski et al, 2011), search log analysis (Ghorab et al, 2009), experiments and semi-structured interviews (Lee and Pang, 2018), questionnaire surveys (Al-Wreikat et al, 2015), diary analysis (Jiang et al, 2019), eye tracking (Parush, 2005), etc. This study aimed to compare tag-cloud-based information search performance rather than retrieval (Bertin, 2011) Comparative study of graphic-based tag clouds systems; the evaluation through analytic hierarchy could not tell the search results.…”

Section: Methodsmentioning

confidence: 99%

Comparative study of graphic-based tag clouds: theory and experimental evaluation for information search

2020

OIR

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PurposeGraphic-based tag clouds aim to visually represent tag content and tag structure, and then to better represent tagged information for later search. However, few studies have clarified the features among varied visualization approaches involved in graphic-based tag clouds and compared them for the purpose of information search.Design/methodology/approachAfter reviewing four kinds of graphic-based tag clouds, an experimental demonstration was conducted in our study to verify how user performs in information search for a general seeking task by using them. Precision ratio, recall ratio, clicks on search and time for search were four variables tested in the experiment. Also, two supplementary tests were respectively carried out to manifest how graphic-based tag clouds contributed to the identification of target tags and tag clusters.FindingsThe experimental results showed that compared to tag content visual tag structure was more important to find related tags from tag clouds for information search. In addition, tag clouds that visually represented the semantic relationships within tags could make user more confident about their search result and carry out a shorter learning process during searching, which signified a tag-based information search path when visual elements were applied.Originality/valueThis research is one of the first to illustrate systematically the graphic-based tag clouds and their impacts on information search. The research findings could suggest on how to build up more effective and interactive tag clouds and make proposition for the design of search user interface by using graphic-based tag clouds.

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“…Too technical explanations are likely to be non-useful; but too simplistic explanations undermine the complexities involved in data-driven persona creation. For design practices, it is important to test alternative ways to introduce transparency and visual clues [28], both in terms of user interface (e.g., pop ups, additional boxes, explainer videos, etc.). Due to research limitations, we could implement the explanations only in one specific way; however, it is apparent that the way algorithmic transparency is implemented can itself have an impact on user perceptions.…”

Section: Takeaways For Practitionersmentioning

confidence: 99%

Persona Transparency: Analyzing the Impact of Explanations on Perceptions of Data-Driven Personas

Salminen

Santos

Jung

et al. 2019

International Journal of Human–Computer Interaction

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Computational techniques are becoming more common in persona development. However, users of personas may question the information in persona profiles because they are unsure of how it was created. This problem is especially vexing for data-driven personas because their creation is an opaque algorithmic process. In this research, we analyze the effect of increased transparencyi.e., explanations of how the information in data-driven personas was producedon user perceptions. We find that higher transparency through these explanations increases the perceived completeness and clarity of the personas. Contrary to our hypothesis, the perceived credibility of the personas decreases with the increased transparency, possibly due to the technical complexity of the persona profiles disrupting the facade of the personas being real people. This finding suggests that explaining the algorithmic process of data-driven persona creation involves a "transparency trade-off". We also find that the gender of the persona affects the perceptions, with transparency increasing perceived completeness and empathy of the female persona, but not for the male persona. Therefore, transparency may specifically assist in the acceptance of female personas. We provide practical implication for persona creators regarding transparency in persona profiles.

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A diary study of information encountering triggered by visual stimuli on micro-blogging services

Cited by 23 publications

References 61 publications

Does a Smile Matter if the Person Is Not Real?: The Effect of a Smile and Stock Photos on Persona Perceptions

Does a Smile Matter if the Person Is Not Real?: The Effect of a Smile and Stock Photos on Persona Perceptions

Comparative study of graphic-based tag clouds: theory and experimental evaluation for information search

Persona Transparency: Analyzing the Impact of Explanations on Perceptions of Data-Driven Personas

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