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Auflistung nach Autor:in "Poguntke, Romina"

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  • Konferenzbeitrag
    NotiModes: an investigation of notification delay modes and their effects on smartphone users
    (Mensch und Computer 2020 - Tagungsband, 2020) Poguntke, Romina; Schneegass, Christina; Vekens, Lucas Van der; Rzayev, Rufat; Auda, Jonas; Schneegass, Stefan; Schmidt, Albrecht
    Despite the extensive analysis of the consequences of interruptions caused by smartphone notifications, research on the effects on users has so far been sparse. Therefore, in this work we (1) explore concepts on preventing interruptions elicited by notification delay in a focus group; (2) implement a smartphone application manipulating the notification delay in three distinct ways varying in the degree of user-control; (3) evaluate all three concepts with 13 users in a four-week field trial. We thereby gather qualitative feedback in 52 semi-structured interviews, one per participant after each mode and an additional control week. The results show that through the intensive preoccupation with their notification management, users reflect critically about advantages and disadvantages of their continuous reachability. Based on the results from the focus group and field trial, we derive four design implications summarizing the users’ experiences and suggestions on notification delay mechanisms.
  • Konferenzbeitrag
    Smile to Me: Investigating Emotions and their Representation in Text-based Messaging in the Wild
    (Mensch und Computer 2019 - Tagungsband, 2019) Poguntke, Romina; Mantz, Tamara; Hassib, Mariam; Schmidt, Albrecht; Schneegaß, Stefan
    Emotions are part of human communication shaping mimics and representing feelings. For this, conveying emotions has been integrated in text-based messaging applications using emojis. While visualizing emotions in text messages has been investigated in previous work, we studied the effects of emotion sharing by augmented the WhatsApp Web user interface – a text messenger people already use on daily basis. For this, we designed and developed four different visualizations to represent emotions detected through facial expression recognition of chat partners using a web cam. Investigating emotion representation and its effects, we conducted a four weeks longitudinal study with 28 participants being inquired via 48 semistructured interviews and 64 questionnaires. Our findings revealed that users want to maintain control over their emotions, particularly regarding sharing, and that they preferably view positive emotions avoiding unpleasant social situations. Based on these insights, we phrased four design recommendations stimulating novel approaches for augmenting chats.