CONTASK: Context-Sensitive Task Assistance in the Semantic Desktop

Maus, Heiko; Schwarz, Sven; Haas, Jan; Dengel, Andreas

doi:10.1007/978-3-642-19802-1_13

Cited by 10 publications

(6 citation statements)

References 8 publications

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“…Such lifelogs can be captured by instrumenting computer applications to record interactions [22] or by using wearable cameras that automatically take pictures at certain intervals [14]. In this paper, our main focus is on the retrieval of information from lifelogs with less emphasis on the capturing.…”

Section: Related Workmentioning

confidence: 99%

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Adaptive timeline interface to personal history data

Ajanki

Koskela

Laaksonen

et al. 2013

Proceedings of the 15th ACM on International Conference on Multimodal Interaction

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As the growth of stored personal digital information, such as photographs and emails, is continuously increasing, new tools for browsing and searching are needed. We introduce an intelligent mobile information access tool for personal data. The data are presented in an adaptive timeline where the displayed items function as search cues. The novelty is that the visualization is dynamically changed to emphasize relevant items, which makes them easier to recognize and select. The relevance is inferred during usage of the system from user feedback. In a user study, the dynamic timelinebased interface on a mobile device was shown to require less effort than conventional textual search.

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Section: Related Workmentioning

confidence: 99%

“…This allows proactive retrieval of relevant information items from the user's personal knowledge space. For example, in the CONTASK task management system, the user's interaction is tracked and used to model the performed tasks to facilitate proactive task prediction [22].…”

Section: Related Workmentioning

confidence: 99%

Adaptive timeline interface to personal history data

Ajanki

Koskela

Laaksonen

et al. 2013

Proceedings of the 15th ACM on International Conference on Multimodal Interaction

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“…As mentioned above, a prerequisite for the inhibitory methods is that we know which information items are related to a specific context. This can be achieved by users giving explicit feedback as well as by background applications tracking and analyzing user activities (Biedert, Schwarz & Roth-Berghofer, 2008;Maus et al, 2011). If activation crosses the borders of the current context, inhibition comes into play to prevent activation of items outside the current context.…”

Section: Links To Contextsmentioning

confidence: 99%

“…Implementation in Semantic Desktop. The first type of inhibitory mechanism has already been implemented in the context of the Semantic Desktop in (Schwarz, 2010;Maus et al 2011).…”

Section: Links To Contextsmentioning

confidence: 99%

Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science

Tempel

Niederée

Jilek

et al. 2019

Interacting With Computers

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Inhibition is one of the core concepts in Cognitive Psychology. The idea of inhibitory mechanisms actively weakening representations in the human mind has inspired a great number of studies in various research domains. In contrast, Computer Science only recently has begun to consider inhibition as a second basic processing quality beside activation. Here, we review psychological research on inhibition in memory and link the gained insights with the current efforts in Computer Science of incorporating inhibitory principles for optimizing information retrieval in Personal Information Management. Four common aspects guide this review in both domains: 1. The purpose of inhibition to increase processing efficiency. 2. Its relation to activation. 3. Its links to contexts. 4. Its temporariness. In summary, the concept of inhibition has been used by Computer Science for enhancing software in various ways already. Yet, we also identify areas for promising future developments of inhibitory mechanisms, particularly context inhibition.the interference due to distracting stimuli or actions is analyzed in experimental paradigms that try to tap a specific form of cognitive inhibition. For example, in the Negative Priming task (for a review, Frings, Schneider, & Fox, 2015) it is typically analyzed how an irrelevant distractor stimulus is inhibited. In the cuing task that elicits the inhibition of return effect (Posner, Choate, Rafal, & Vaughn, 1985) it is typically analyzed how an irrelevant location is inhibited. In task switching (Kiesel et al., 2010) lowering competition by a just previously performed task while currently executing a novel task is achieved by inhibiting that previous task. Finally, in the go-no-INHIBITION IN COGNITIVE AND COMPUTER SCIENCE 3 go-task prepotent motor responses have to be inhibited (e.g., Logan & Cowan, 1984).While the results from inhibition research in attention and action control has clear implications for applied research (e.g., implications for traffic behavior), the purpose of this article is to link the concept of inhibition in Cognitive Psychology to the concept of inhibition in Computer Science. By definition this type of inhibition is thus concerned with inhibiting representations of informationin other words this article focuses on inhibition in memory. Our approach also focuses on output variables as to understand inhibition, that is, we look at human and artificial representational systems and how input variables or internal processes can be modulated by making information already represented in the system less accessible thereby enhancing output performance. For this conjoint approach we thus look at inhibition from a behavioral perspective.Yet, we should right from the start acknowledge that the concept of inhibitionpartially because it is used in so many different areas of researchwas often subject to a heated debate (see e.g., volumes by Dagenbach & Carr, 1994;Brainerd & Dempster, 1995;Gorfein & MacLeod, 2007). Researchers argue for decades whether cognition can be explained and ...

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“…We learned from cognitive psychology (see 2.4) that our previous research on context (e.g. [38,26,13]) can be beneficial for MF: an information item can be very important in one context while being totally irrelevant in another. So, in order to finally decide about an item's relevancy and thus provide beneficial MF measures, we have to take its associated contexts into account.…”

Section: Capturing and Efficiently Storing Metadata Especially Contexmentioning

confidence: 99%

Managed Forgetting to Support Information Management and Knowledge Work

et al. 2018

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Trends like digital transformation even intensify the already overwhelming mass of information knowledge workers face in their daily life. To counter this, we have been investigating knowledge work and information management support measures inspired by human forgetting. In this paper, we give an overview of solutions we have found during the last five years as well as challenges that still need to be tackled. Additionally, we share experiences gained with the prototype of a first forgetful information system used 24/7 in our daily work for the last three years. We also address the untapped potential of more explicated user context as well as features inspired by Memory Inhibition, which is our current focus of research.

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CONTASK: Context-Sensitive Task Assistance in the Semantic Desktop

Cited by 10 publications

References 8 publications

Adaptive timeline interface to personal history data

Adaptive timeline interface to personal history data

Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science

Managed Forgetting to Support Information Management and Knowledge Work

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