Display of Major Risk Categories for Android Apps.

Communicating cybersecurity risks to mobile-device users is essential. However, existing means of conveying the risks through detailed permission lists are ineffective. Risk indexes that convey overall risk are effective at influencing app-selection decisions, but many users want more information. W...

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Publicado en:Journal of Experimental Psychology. Applied Vol. 24; no. 3; pp. 306 - 331
Autores principales: Jing Chen, Huangyi Ge, Moore, Scott, Weining Yang, Ninghui Li, Proctor, Robert W.
Formato: Artículo
Publicado: American Psychological Association Sep2018
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2018
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      pub: American Psychological Association
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        atl: Display of Major Risk Categories for Android Apps.
      aug:
        au:
          Jing Chen
          Huangyi Ge
          Moore, Scott
          Weining Yang
          Ninghui Li
          Proctor, Robert W.
        affil:
          Old Dominion University
          Purdue University
      su:
        Android (Operating system)
        Internet security
        Mobile apps
      sug:
        subj:
          Wired Telecommunications Carriers
          Internet Publishing and Broadcasting and Web Search Portals
          Internet security
          Mobile apps
          Android (Operating system)
      keyword:
        cybersecurity
        decision making
        graphical presentation
        mobile applications
        risk communication
        cybersecurity
        decision making
        graphical presentation
        mobile applications
        risk communication
      ab: Communicating cybersecurity risks to mobile-device users is essential. However, existing means of conveying the risks through detailed permission lists are ineffective. Risk indexes that convey overall risk are effective at influencing app-selection decisions, but many users want more information. We examined how users assess the risks associated with downloading applications on the Android platform by comparing various graphical formats of intermediate-level risk displays containing three risk categories: personal privacy: monetary loss; device stability. Bar-graph and table formats were compared, as were vertical and horizontal displays. Participants performed app risk-rating (Experiment 1) and app-selection (Experiments 2 and 3) tasks for hypothetical apps with risk scores on each of the categories. They also specified which risk category was of most concern to them. Increased risk scores in each category led to higher rated risk and lower app-selection rate which matched w'ith self-reported risk concerns. Bar-graphs were more time-efficient and yielded higher risk-ratings than tables, although the two formats did not differ in the app-selection task. Moreover, horizontal bar-graphs yielded faster responses than vertical bar-graphs. The results indicate that the intermediate-level risk display was effective in conveying risk-category information, especially with horizontal bar-graphs, and personalized design of this display based on users' risk concerns is potentially useful.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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