Alle Publikationen
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2017
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(2017): Attending to attention. How do people attract, manage, and negotiate attention using mobile devices?. In: Mobile Media & Communication 5 (3), S. 256-274. DOI: 10.1177/2050157917714504
Abstract: In today's always-connected world people have an ever-increasing array of ways to stay in touch, often selecting among multiple media that allow for different degrees of attention (e.g., phone calls vs. texting) and may vary in convenience for their interaction partner. In this environment, people must manage their attention to each other. Recent work suggests attention management can be considered as a dyadic negotiation process in which people are continually acting to display their own focus of attention and gather information about others' focus of attention, and may seek to increase or decrease the current level of attention from their partner. To explore attention management and negotiation on mobile devices, we built a custom application to track people's SMS and phone call activity. Drawing on log and transcript data, we use qualitative and quantitative methods to explore the details of attention management behavior within specific relationships for a few participants, and then used hierarchical clustering to identify different patterns of attention management in relationships of varying tie strength. Results suggest that attention is managed both implicitly and explicitly, with explicit negotiation more likely when there are conflicts. There are also substantial differences in interaction patterns by tie strength, with phone calls and shorter text response times more common for weaker ties.
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(2017): Make it personal. A social explanation system applied to group recommendations. In: Expert Systems with Applications 76, S. 36-48. DOI: 10.1016/j.eswa.2017.01.045
Abstract: Recommender systems help users to identify which items from a variety of choices best match their needs and preferences. In this context, explanations act as complementary information that can help users to better comprehend the system’s output and to encourage goals such as trust, confidence in decision-making or utility. In this paper we propose a Personalized Social Individual Explanation approach (PSIE). Unlike other expert systems the PSIE proposal novelly includes explanations about the system’s group recommendation and explanations about the group’s social reality with the goal of inducing a positive reaction that leads to a better perception of the received group recommendations. Among other challenges, we uncover a special need to focus on “tactful” explanations when addressing users’ personal relationships within a group and to focus on personalized reassuring explanations that encourage users to accept the presented recommendations. Besides, the resulting intelligent system significatively increases users’ intent (likelihood) to follow the recommendations, users’ satisfaction and the system’s efficiency and trustworthiness. zitiert von 5
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