Design Guidelines for Notifications on Smart TVs

Weber, Dominik; Mayer, Sven; Voit, Alexandra; Fierro, Rodrigo Ventura; Henze, Niels

doi:10.1145/2932206.2932212

Cited by 34 publications

(14 citation statements)

References 22 publications

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“…Most closely related to our work on accidental information disclosure in notifications is accidental information disclosure in web browsing activities in the presence of other people [15] and receiving notifications while watching videos together on a smart TV [37]. In [15], through a survey of 155 participants, and with three distinct hypothetical web browsing scenarios (i.e., embarrassing, neutral, positive), researchers assessed participants' comfort level in the presence of different groups of viewers.…”

Section: Strategiesmentioning

confidence: 99%

“…Also, the comfort level is related to the level of control the participants have (e.g., whether the participants are having control over the mouse and keyboard). In [37], through a survey of 167 participants, researchers assessed the comfort level in different notification variants when people are watching videos on a smart TV with others. The results show that people's comfort level is higher when the notification reveals less information (e.g.…”

Section: Strategiesmentioning

confidence: 99%

“…contexts, each notification poses some risk of accidental information disclosure. For example, email notifications often reveal the sender and subject fields of messages, and may be visible above the lock screen of a mobile phone (Figure 1a), on the periphery of a co-located desktop or laptop (Figure 1b), on a projection screen during a presentation, or on a smart TV [37]. As Susan Farrell writes in [9]:…”

Section: Introductionmentioning

confidence: 99%

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Studying Preferences and Concerns about Information Disclosure in Email Notifications

Kim¹,

Fourney

Kamar

2019

The World Wide Web Conference

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The proliferation of network-connected devices and applications has resulted in people receiving dozens, or hundreds, of notifications per day. When people are in the presence of others, each notification poses some risk of accidental information disclosure; onlookers may see notifications appear above the lock screen of a mobile phone, on the periphery of a desktop or laptop display, or projected onscreen during a presentation. In this paper, we quantify the prevalence of these accidental disclosures in the context of email notifications, and we study people's relevant preferences and concerns. Our results are compiled from an exploratory retrospective survey of 131 respondents, and a separate contextual-labeling study in which 169 participants labeled 1,040 meeting-email pairs. We find that, for 53% of people, at least 1 in 10 email notifications poses an information disclosure risk. We also find that the real or perceived severity of these risks depend both on user characteristics and attributes of the meeting or email (e.g. the number of recipients or attendees). We conclude by exploring machine learning algorithms to predict people's comfort levels given an email notification and a context, then we present implications for the design of future contextually-relevant notification systems.

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Section: Strategiesmentioning

confidence: 99%

Section: Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Studying Preferences and Concerns about Information Disclosure in Email Notifications

Kim¹,

Fourney

Kamar

2019

The World Wide Web Conference

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“…We take into account an important aspect that is too often neglected in previous studies, i.e., the actual notifications delivery. Additionally, few studies consider more than one device in the notification context (e.g., Attelia II [1]) and almost none of them includes IoT devices such as smart TVs [33], smart thermostats, etc. For this reason, AwareNotifications is designed to operate on a multi-device and smart environment (GL2).…”

Section: Delivery Behaviormentioning

confidence: 99%

AwareNotifications: Multi-device semantic notification handling with user-defined preferences

Corno

Russis

Roffarello

2018

AIS

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With the increase of connected devices and online services, the number of notifications received by each person is growing. Although notifications are useful to inform users about important information such as new messages and events, the continuous interruptions, the notification duplication, and the rigid delivery can be sources of discomfort. To overcome these issues, we present AwareNotifications, an intelligent system based on user-defined preferences to manage multi-device notifications. AwareNotifications is powered by Semantic Web technologies. By directly exploiting user preferences in the semantic reasoning process, the system is able to identify suitable device(s), modality, and moment(s) to deliver the incoming user notifications. We evaluated AwareNotifications in a user study with 15 participants, in which we compared our system with the "traditional" notification delivery system. The study confirms the perceived effectiveness of AwareNotifications, and provides insights to further improve the system.

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“…Attending to notifications on a secondary device is optional, but may be accompanied by a large visual attention shift, and the very presence of a secondary device can lead to decreased visual attention on the primary device [11]. On the other hand, notifications on the primary viewing device can forcibly interrupt viewing by overlaying distracting content [28]. However, users can address notifications without switching attention between devices.…”

Section: Introductionmentioning

confidence: 99%

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et al. 2017

Proceedings of the 19th International Conference on Human-Computer Interaction With Mobile Devices and Services

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Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document. When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.

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Design Guidelines for Notifications on Smart TVs

Cited by 34 publications

References 22 publications

Studying Preferences and Concerns about Information Disclosure in Email Notifications

Studying Preferences and Concerns about Information Disclosure in Email Notifications

AwareNotifications: Multi-device semantic notification handling with user-defined preferences

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