Towards first person gamer modeling and the problem with game classification in user studies

Tarre, Katherine; Williams, Adam S.; Borges, Lukas; Rishe, Naphtali; Barreto, Armando; Ortega, Francisco R.

doi:10.1145/3281505.3281590

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…A second consideration should be made on the inclusion of bi-manual gestures. while not found in abundance here, other work [27,50] has found evidence that users may gravitate towards using them in other domains and with larger objects [51,55].…”

Section: Design Guidelinescontrasting

confidence: 59%

“…This includes insight on the formation of inputs, the times surrounding input generation, and trends in user preferences for inputs and input modalities. An example of these extended benefits is the finding that the size of a gesture proposed is impacted by the size of the object shown [55]. This work extends previous gesture elicitation studies in AR [50] by testing the additional modalities of speech alone and multimodal gesture and speech interactions and allowing unconstrained gesture proposals for each referent.…”

Section: Gesture Elicitationmentioning

confidence: 69%

“…A second product of elicitation studies is a better understanding of user behavior. Elicitation studies have shown that upper-body gestures are preferred in whole-body gesture systems [43], and that gestures produced are impacted by the size of the object [51,55]. Elicitation has seen use for many input domains such as multi-touch surfaces [10,34], and mobile devices [53], to internet of things use [63].…”

Section: Gesture Elicitationmentioning

confidence: 99%

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Understanding Gesture and Speech Multimodal Interactions for Manipulation Tasks in Augmented Reality Using Unconstrained Elicitation

Williams

Ortega

2020

Proc. ACM Hum.-Comput. Interact.

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This research establishes a better understanding of the syntax choices in speech interactions and of how speech, gesture, and multimodal gesture and speech interactions are produced by users in unconstrained object manipulation environments using augmented reality. The work presents a multimodal elicitation study conducted with 24 participants. The canonical referents for translation, rotation, and scale were used along with some abstract referents (create, destroy, and select). In this study time windows for gesture and speech multimodal interactions are developed using the start and stop times of gestures and speech as well as the stoke times for gestures. While gestures commonly precede speech by 81 ms we find that the stroke of the gesture is commonly within 10 ms of the start of speech. Indicating that the information content of a gesture and its co-occurring speech are well aligned to each other. Lastly, the trends across the most common proposals for each modality are examined. Showing that the disagreement between proposals is often caused by a variation of hand posture or syntax. Allowing us to present aliasing recommendations to increase the percentage of users' natural interactions captured by future multimodal interactive systems. CCS Concepts: • Human-centered computing → Human computer interaction (HCI); User studies; Mixed / augmented reality; Interaction techniques; Empirical studies in HCI; User centered design.

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Section: Design Guidelinescontrasting

confidence: 59%

Section: Gesture Elicitationmentioning

confidence: 69%