%0 Conference Paper %1 citeulike:13971601 %A Wiebe, Michelle %A Geiskkovitch, Denise Y. %A Bunt, Andrea %B Proceedings of the 21st International Conference on Intelligent User Interfaces %C New York, NY, USA %D 2016 %I ACM %K adaptive-interface recommender %P 43--47 %R 10.1145/2856767.2856814 %T Exploring User Attitudes Towards Different Approaches to Command Recommendation in Feature-Rich Software %U http://dx.doi.org/10.1145/2856767.2856814 %X Feature-rich software applications offer users hundreds of commands, yet most people use only a very small fraction of the available command set. Command recommenders aim to increase awareness of an application's capabilities by generating personalized recommendations for new commands. A primary distinguishing characteristic of these recommenders concerns the manner in which they determine command relevance. Social approaches do so by analyzing community usage logs, whereas, task-based approaches mine web documentation for logical command clusters. Through a qualitative study with sixteen participants, in this work we explored user attitudes towards these different approaches and the supplemental information they enable. %@ 978-1-4503-4137-0

@inproceedings{citeulike:13971601, abstract = {{Feature-rich software applications offer users hundreds of commands, yet most people use only a very small fraction of the available command set. Command recommenders aim to increase awareness of an application's capabilities by generating personalized recommendations for new commands. A primary distinguishing characteristic of these recommenders concerns the manner in which they determine command relevance. Social approaches do so by analyzing community usage logs, whereas, task-based approaches mine web documentation for logical command clusters. Through a qualitative study with sixteen participants, in this work we explored user attitudes towards these different approaches and the supplemental information they enable.}}, added-at = {2018-03-19T12:24:51.000+0100}, address = {New York, NY, USA}, author = {Wiebe, Michelle and Geiskkovitch, Denise Y. and Bunt, Andrea}, biburl = {https://www.bibsonomy.org/bibtex/2afaf99ad4d05e1251664d2feb799e61b/aho}, booktitle = {Proceedings of the 21st International Conference on Intelligent User Interfaces}, citeulike-article-id = {13971601}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=2463656.2856814}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/2856767.2856814}, doi = {10.1145/2856767.2856814}, interhash = {a1200a131a724b3ccb569182889fa678}, intrahash = {afaf99ad4d05e1251664d2feb799e61b}, isbn = {978-1-4503-4137-0}, keywords = {adaptive-interface recommender}, location = {Sonoma, California, USA}, pages = {43--47}, posted-at = {2016-03-07 19:42:27}, priority = {3}, publisher = {ACM}, series = {IUI '16}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{Exploring User Attitudes Towards Different Approaches to Command Recommendation in Feature-Rich Software}}, url = {http://dx.doi.org/10.1145/2856767.2856814}, year = 2016 }