{"title":"Session details: Tutorials","authors":"J. Kim","doi":"10.1145/3249362","DOIUrl":"https://doi.org/10.1145/3249362","url":null,"abstract":"","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116178605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Look, Buddhika Kottahachchi, R. Laddaga, H. Shrobe
An expressive representation for location is an important component in many applications. However, while many location-aware applications can reason about space at the level of coordinates and containment relationships, they have no way to express the semantics that define how a particular space is used. We present Lair, an ontology that addresses this problem by modeling both the geographical relationships between spaces as well as the functional purpose of a given space. We describe how Lair was used to create an application that produces walking directions comparable to those given by a person, and a pilot study that evaluated the quality of these directions. We also describe how Lair can be used to evaluate other intelligent user interfaces.
{"title":"A location representation for generating descriptive walking directions","authors":"G. Look, Buddhika Kottahachchi, R. Laddaga, H. Shrobe","doi":"10.1145/1040830.1040862","DOIUrl":"https://doi.org/10.1145/1040830.1040862","url":null,"abstract":"An expressive representation for location is an important component in many applications. However, while many location-aware applications can reason about space at the level of coordinates and containment relationships, they have no way to express the semantics that define how a particular space is used. We present Lair, an ontology that addresses this problem by modeling both the geographical relationships between spaces as well as the functional purpose of a given space. We describe how Lair was used to create an application that produces walking directions comparable to those given by a person, and a pilot study that evaluated the quality of these directions. We also describe how Lair can be used to evaluate other intelligent user interfaces.","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123702080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Machine learning (ML) is a complex process that can hardly be carried out by non-expert users. Especially when using adaptive systems that interpret and exploit observations of the user to modify their behavior according to the user's perceived preferences, even naïve users may be confronted with learning systems. This paper presents an approach to make non-expert users understand and influence an ML system such as to improve trust and acceptance of the overall system behavior.
{"title":"An ontology-based interface for machine learning","authors":"M. Bauer, Stephan Baldes","doi":"10.1145/1040830.1040911","DOIUrl":"https://doi.org/10.1145/1040830.1040911","url":null,"abstract":"Machine learning (ML) is a complex process that can hardly be carried out by non-expert users. Especially when using adaptive systems that interpret and exploit observations of the user to modify their behavior according to the user's perceived preferences, even naïve users may be confronted with learning systems. This paper presents an approach to make non-expert users understand and influence an ML system such as to improve trust and acceptance of the overall system behavior.","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126189918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We describe a method for predicting user intentions as part of a human-robot interface. In particular, we show that funnels, i.e., geometric objects that partition an input space, provide a convenient means for discriminating individual objects and for clustering sets of objects for hierarchical tasks. One advantage of the proposed implementation is that a simple parametric model can be used to specify the shape of a funnel, and a straightforward heuristic for setting initial parameter values appears promising. We discuss the possibility of adapting the user interface with machine learning techniques, and we illustrate the approach with a humanoid robot performing a variation of a standard peg-insertion task.
{"title":"User intentions funneled through a human-robot interface","authors":"M. Rosenstein, A. Fagg, S. Ou, R. Grupen","doi":"10.1145/1040830.1040888","DOIUrl":"https://doi.org/10.1145/1040830.1040888","url":null,"abstract":"We describe a method for predicting user intentions as part of a human-robot interface. In particular, we show that funnels, i.e., geometric objects that partition an input space, provide a convenient means for discriminating individual objects and for clustering sets of objects for hierarchical tasks. One advantage of the proposed implementation is that a simple parametric model can be used to specify the shape of a funnel, and a straightforward heuristic for setting initial parameter values appears promising. We discuss the possibility of adapting the user interface with machine learning techniques, and we illustrate the approach with a humanoid robot performing a variation of a standard peg-insertion task.","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114921778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ilenia Graziola, F. Pianesi, M. Zancanaro, Dina Goren-Bar
In this work, we present a study about adaptation on a mobile museum guide aiming at investigating the relationships between personality traits and the attitudes toward some basic dimensions of adaptivity. Each participant was exposed to two simulated systems that realized an adaptive and a non-adaptive version, respectively, on each of the dimensions investigated. The study showed interesting effects of Big Five personality traits on acceptance of the adaptivity dimensions; in particular conscientiousness, creativity and stability. Locus of control seemed to have a limited yet quite selective effect on delegating to the system the choice of follow-ups.
{"title":"Dimensions of adaptivity in mobile systems: personality and people's attitudes","authors":"Ilenia Graziola, F. Pianesi, M. Zancanaro, Dina Goren-Bar","doi":"10.1145/1040830.1040879","DOIUrl":"https://doi.org/10.1145/1040830.1040879","url":null,"abstract":"In this work, we present a study about adaptation on a mobile museum guide aiming at investigating the relationships between personality traits and the attitudes toward some basic dimensions of adaptivity. Each participant was exposed to two simulated systems that realized an adaptive and a non-adaptive version, respectively, on each of the dimensions investigated. The study showed interesting effects of Big Five personality traits on acceptance of the adaptivity dimensions; in particular conscientiousness, creativity and stability. Locus of control seemed to have a limited yet quite selective effect on delegating to the system the choice of follow-ups.","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127707625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oral tradition, aboral coordination: building rapport with embodied conversational agents Harmony or rapport between people is essential for relationships as diverse as seller-buyer and teacher-learner. In this talk I describe the kinds of verbal behaviors -- such as common interactional structures and narrative resonance -- and non-verbal behaviors -- such as attention, positivity, and coordination -- that function together to establish a sense of rapport between two people in conversation. These studies are used as the basis for the implementation of virtual peers -- adults, but also more recently embodied conversational virtual children who are capable of acting as friends and learning partners with real children from different ethnic traditions, collaborating to tell stories from the child's own cultural context, and aiding children in making the transition between home and school language.
{"title":"Oral tradition, aboral coordination: building rapport with embodied conversational agents","authors":"Justine Cassell","doi":"10.1145/1040830.1040832","DOIUrl":"https://doi.org/10.1145/1040830.1040832","url":null,"abstract":"Oral tradition, aboral coordination: building rapport with embodied conversational agents Harmony or rapport between people is essential for relationships as diverse as seller-buyer and teacher-learner. In this talk I describe the kinds of verbal behaviors -- such as common interactional structures and narrative resonance -- and non-verbal behaviors -- such as attention, positivity, and coordination -- that function together to establish a sense of rapport between two people in conversation. These studies are used as the basis for the implementation of virtual peers -- adults, but also more recently embodied conversational virtual children who are capable of acting as friends and learning partners with real children from different ethnic traditions, collaborating to tell stories from the child's own cultural context, and aiding children in making the transition between home and school language.","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132355048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthias Jöst, J. Häußler, Matthias Merdes, R. Malaka
What are the most suitable interaction paradigms for navigational and informative tasks for pedestrians? Is there an influence of social and situational context on multimodal interaction? Our study takes a closer look at a multimodal system on a handheld device that was recently developed as a prototype for mobile navigation assistance. The system allows visitors of a city to navigate, to get information on sights, and to use and manipulate map information. In an outdoor evaluation, we studied the usability of such a system on site. The study yields insight about how multimodality can enhance the usability of hand-held devices with their future services. We show, for example that for our more complicated tasks multimodal interaction is superior to classical unimodal interaction.
{"title":"Multimodal interaction for pedestrians: an evaluation study","authors":"Matthias Jöst, J. Häußler, Matthias Merdes, R. Malaka","doi":"10.1145/1040830.1040852","DOIUrl":"https://doi.org/10.1145/1040830.1040852","url":null,"abstract":"What are the most suitable interaction paradigms for navigational and informative tasks for pedestrians? Is there an influence of social and situational context on multimodal interaction? Our study takes a closer look at a multimodal system on a handheld device that was recently developed as a prototype for mobile navigation assistance. The system allows visitors of a city to navigate, to get information on sights, and to use and manipulate map information. In an outdoor evaluation, we studied the usability of such a system on site. The study yields insight about how multimodality can enhance the usability of hand-held devices with their future services. We show, for example that for our more complicated tasks multimodal interaction is superior to classical unimodal interaction.","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127233640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Birnbaum, W. Hopp, S. Iravani, K. Livingston, Biying Shou, T. Tirpak
Pinpoint is a promising first step towards using a rich model of task context in proactive and dynamic IR systems. Pinpoint allows a user to navigate decision tree representations of problem spaces, built by domain experts, while dynamically entering annotations specific to their problem. The system then automatically generates queries to information repositories based on both the user's annotations and location in the problem space, producing results that are both task focused and problem specific. Initial feedback from users and domain experts has been positive.
{"title":"Task aware information access for diagnosis of manufacturing problems","authors":"L. Birnbaum, W. Hopp, S. Iravani, K. Livingston, Biying Shou, T. Tirpak","doi":"10.1145/1040830.1040909","DOIUrl":"https://doi.org/10.1145/1040830.1040909","url":null,"abstract":"Pinpoint is a promising first step towards using a rich model of task context in proactive and dynamic IR systems. Pinpoint allows a user to navigate decision tree representations of problem spaces, built by domain experts, while dynamically entering annotations specific to their problem. The system then automatically generates queries to information repositories based on both the user's annotations and location in the problem space, producing results that are both task focused and problem specific. Initial feedback from users and domain experts has been positive.","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127998858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
At the Media Lab we are developing a resource called StoryNet, a very-large database of story scripts that can be used for commonsense reasoning by computers. This paper introduces ComicKit, an interface for acquiring StoryNet scripts from casual internet users. The core element of the interface is its ability to dynamically make common-sense suggestions that guide user story construction. We describe the encouraging results of a preliminary user study, and discuss future directions for ComicKit.
{"title":"ComicKit: acquiring story scripts using common sense feedback","authors":"Ryan Williams, Barbara Barry, Push Singh","doi":"10.1145/1040830.1040907","DOIUrl":"https://doi.org/10.1145/1040830.1040907","url":null,"abstract":"At the Media Lab we are developing a resource called StoryNet, a very-large database of story scripts that can be used for commonsense reasoning by computers. This paper introduces ComicKit, an interface for acquiring StoryNet scripts from casual internet users. The core element of the interface is its ability to dynamically make common-sense suggestions that guide user story construction. We describe the encouraging results of a preliminary user study, and discuss future directions for ComicKit.","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130186494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such systems are becoming increasingly popular, but designing user interfaces that effectively communicate recommended information is a challenge: the interface must be unobtrusive, yet communicate enough information at the right time to provide value to the user. In this paper we describe our experience with the FXPAL Bar, a proactive information system designed to provide contextual access to corporate and personal resources. In particular, we present three features designed to communicate proactive recommendations more effectively: translucent recommendation windows increase the user's awareness of particularly highly-ranked recommendations, query term highlighting communicates the relationship between a recommended document and the user's current context, and a novel recommendation digest function allows users to return to the most relevant previously recommended resources. We present empirical evidence supporting our design decisions and relate lessons learned for other designers of contextual recommendation systems.
{"title":"Improving proactive information systems","authors":"Daniel Billsus, D. Hilbert, Dan Maynes-Aminzade","doi":"10.1145/1040830.1040869","DOIUrl":"https://doi.org/10.1145/1040830.1040869","url":null,"abstract":"Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such systems are becoming increasingly popular, but designing user interfaces that effectively communicate recommended information is a challenge: the interface must be unobtrusive, yet communicate enough information at the right time to provide value to the user. In this paper we describe our experience with the FXPAL Bar, a proactive information system designed to provide contextual access to corporate and personal resources. In particular, we present three features designed to communicate proactive recommendations more effectively: translucent recommendation windows increase the user's awareness of particularly highly-ranked recommendations, query term highlighting communicates the relationship between a recommended document and the user's current context, and a novel recommendation digest function allows users to return to the most relevant previously recommended resources. We present empirical evidence supporting our design decisions and relate lessons learned for other designers of contextual recommendation systems.","PeriodicalId":376409,"journal":{"name":"Proceedings of the 10th international conference on Intelligent user interfaces","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133655974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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