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Proceedings of the 12th European Conference on Knowledge ...

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Analysis <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>Knowledge</strong> Work Executi<strong>on</strong> at Computer<br />

Workplaces<br />

Benedikt Schmidt 1 , Todor Stoitsev 1 and Max Mühlhäuser 2<br />

1<br />

SAP Research, Darmstadt Germany<br />

2<br />

TU Darmstadt, Telecooperati<strong>on</strong> Group, Darmstadt, Germany<br />

benedikt.schmidt@sap.com<br />

todor.stoitsev@sap.com<br />

max@tk.informatik.tu-darmstadt.de<br />

Abstract: Work executi<strong>on</strong> at computer workplaces is an important facet <str<strong>on</strong>g>of</str<strong>on</strong>g> knowledge work. For <str<strong>on</strong>g>the</str<strong>on</strong>g> knowledge<br />

worker, <str<strong>on</strong>g>the</str<strong>on</strong>g> interacti<strong>on</strong> with <str<strong>on</strong>g>the</str<strong>on</strong>g> computer is seen in terms <str<strong>on</strong>g>of</str<strong>on</strong>g> goals and subgoals with accompanying tasks ra<str<strong>on</strong>g>the</str<strong>on</strong>g>r<br />

than system commands. C<strong>on</strong>sequently, knowledge workers apply tacit knowledge to pursue goals by a weakly<br />

structured process involving s<str<strong>on</strong>g>of</str<strong>on</strong>g>tware tools to c<strong>on</strong>sume, modify or create informati<strong>on</strong>. Interrupti<strong>on</strong>s, appointments<br />

and deadlines result in goal realizati<strong>on</strong> in parallel or in rapid successi<strong>on</strong>. To extract tacit knowledge solid<br />

knowledge about work is essential. The paper analyzes knowledge work executi<strong>on</strong> at computer workplaces. Two<br />

user studies to analyze work processes based <strong>on</strong> interacti<strong>on</strong> histories have been c<strong>on</strong>ducted. The first study<br />

focused <strong>on</strong> task executi<strong>on</strong> processes. Differences and regularities <str<strong>on</strong>g>of</str<strong>on</strong>g> tasks executed by different people were<br />

examined. The main outcome <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> first study is <str<strong>on</strong>g>the</str<strong>on</strong>g> descripti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> core task executi<strong>on</strong> processes that are<br />

mixtures <str<strong>on</strong>g>of</str<strong>on</strong>g> work techniques. The sec<strong>on</strong>d study focused <strong>on</strong> text visible at <str<strong>on</strong>g>the</str<strong>on</strong>g> user screen during task executi<strong>on</strong>.<br />

Topics are extracted from <str<strong>on</strong>g>the</str<strong>on</strong>g> logged screen c<strong>on</strong>tent and textual similarities are measured. The main outcome <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

<str<strong>on</strong>g>the</str<strong>on</strong>g> sec<strong>on</strong>d study is <str<strong>on</strong>g>the</str<strong>on</strong>g> identificati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> text similarities for tasks executed by different pers<strong>on</strong>s and <str<strong>on</strong>g>the</str<strong>on</strong>g> existence<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> topics that identify tasks.<br />

Keywords: knowledge work, experience management, interacti<strong>on</strong> histories<br />

1. Introducti<strong>on</strong><br />

Many knowledge work processes at computer workplaces present <str<strong>on</strong>g>the</str<strong>on</strong>g>mselves as applicati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> tacit<br />

knowledge, as <str<strong>on</strong>g>the</str<strong>on</strong>g>y are not driven by defined procedures but by expected results. Tacit knowledge is<br />

a veiled asset, as it <strong>on</strong>ly manifests in <str<strong>on</strong>g>the</str<strong>on</strong>g> fleetingness <str<strong>on</strong>g>of</str<strong>on</strong>g> work processes it produces (Walsham,<br />

2005). C<strong>on</strong>sequently, harvesting tacit knowledge from work processes is a complex challenge<br />

(Stenmark, 2001) that requires reas<strong>on</strong>ing about <str<strong>on</strong>g>the</str<strong>on</strong>g> meaning <str<strong>on</strong>g>of</str<strong>on</strong>g> work process fragments. To enable<br />

such reas<strong>on</strong>ing a solid knowledge base about work processes is essential. Research <strong>on</strong> work<br />

processes in computer workspaces reveals <str<strong>on</strong>g>the</str<strong>on</strong>g>se processes as organized by tasks with goals ra<str<strong>on</strong>g>the</str<strong>on</strong>g>r<br />

than by system commands (Bann<strong>on</strong>, Cypher, Greenspan, & M<strong>on</strong>ty, 1983). Thereby multiple, <str<strong>on</strong>g>of</str<strong>on</strong>g>ten<br />

interleaving tasks are comm<strong>on</strong> for knowledge work (Czerwinski et al. 2004), (Mark, G<strong>on</strong>zalez, &<br />

Harris, 2005). The goals are solved by using recurring soluti<strong>on</strong> techniques, as (Hädrich, 2008) points<br />

out.<br />

The intenti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> this paper is to evaluate and analyze <str<strong>on</strong>g>the</str<strong>on</strong>g> executi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> knowledge intensive tasks. The<br />

research is intended to improve <str<strong>on</strong>g>the</str<strong>on</strong>g> understanding <str<strong>on</strong>g>of</str<strong>on</strong>g> knowledge work executi<strong>on</strong>. Based <strong>on</strong> an<br />

improved understanding models for knowledge work executi<strong>on</strong> can be created that facilitate <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

design <str<strong>on</strong>g>of</str<strong>on</strong>g> support systems and <str<strong>on</strong>g>the</str<strong>on</strong>g> development <str<strong>on</strong>g>of</str<strong>on</strong>g> task detecti<strong>on</strong> methods. Understanding knowledge<br />

work is complicated due to <str<strong>on</strong>g>the</str<strong>on</strong>g> c<strong>on</strong>tingence <str<strong>on</strong>g>of</str<strong>on</strong>g> knowledge work processes. Two people working <strong>on</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

same task will not solve it completely similar, due to situati<strong>on</strong>al c<strong>on</strong>straints and <str<strong>on</strong>g>the</str<strong>on</strong>g> relevance <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

pers<strong>on</strong>al experience and preferences for knowledge work executi<strong>on</strong>. The scientific issue tackled in<br />

this paper is <str<strong>on</strong>g>the</str<strong>on</strong>g> identificati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> knowledge work executi<strong>on</strong> characteristics that exist independent from<br />

situati<strong>on</strong>al c<strong>on</strong>straints and individual preferences.<br />

The paper focuses two aspects: (a) executi<strong>on</strong> processes as combinati<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> s<str<strong>on</strong>g>of</str<strong>on</strong>g>tware applicati<strong>on</strong>s and<br />

(b) informati<strong>on</strong> access as text <str<strong>on</strong>g>the</str<strong>on</strong>g> user interacts with. Two laboratory studies <strong>on</strong> task executi<strong>on</strong><br />

processes are presented. Both studies followed a similar process: predefined tasks were given to<br />

users and <str<strong>on</strong>g>the</str<strong>on</strong>g> task executi<strong>on</strong> was documented through video recordings and survey sheets.<br />

Additi<strong>on</strong>ally, interacti<strong>on</strong> histories were captured. These are temporally ordered lists <str<strong>on</strong>g>of</str<strong>on</strong>g> classified<br />

events that stand for user-system interacti<strong>on</strong>s, and comprise complex mixtures <str<strong>on</strong>g>of</str<strong>on</strong>g> informati<strong>on</strong> about<br />

resources a user operated <strong>on</strong>, using different applicati<strong>on</strong>s. To capture interacti<strong>on</strong> histories, an<br />

extensi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> a m<strong>on</strong>itoring applicati<strong>on</strong> described in (Lokaiczyk, Faatz, Beckhaus, & Goertz, 2007) has<br />

been used.<br />

This paper is structured as follows. A study <strong>on</strong> task executi<strong>on</strong> as sequence <str<strong>on</strong>g>of</str<strong>on</strong>g> applicati<strong>on</strong> usage is<br />

presented and analyzed in secti<strong>on</strong> 2, identifying core task executi<strong>on</strong> processes. Secti<strong>on</strong> 3 analyzes<br />

889

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